Prof. Kensaku Mori Profile

Prof. Kensaku Mori

Professor at Nagoya Univ

SPIE Involvement:

Conference Program Committee | Conference Chair | Journal Editorial Board Member | Editor | Author

Publications (91)

SPIE Conference Volume | April 23, 2018

Medical Imaging 2018: Computer-Aided Diagnosis

PROCEEDINGS ARTICLE | March 20, 2018

Develop and validate a finite element method model for deformation matching of laparoscopic gastrectomy navigation

Proc. SPIE. 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling

KEYWORDS: Surgery, Image segmentation, Arteries, 3D modeling, Navigation systems, Finite element methods, Computed tomography, Systems modeling, Laparoscopy, Animal model studies

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PROCEEDINGS ARTICLE | March 13, 2018

Machine learning-based colon deformation estimation method for colonoscope tracking

Proc. SPIE. 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling

KEYWORDS: Sensors, Navigation systems, Distance measurement, Machine learning, Magnetic sensors, Colon, Virtual colonoscopy

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PROCEEDINGS ARTICLE | March 12, 2018

Automatic segmentation of eyeball structures from micro-CT images based on sparse annotation

Proc. SPIE. 10578, Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging

KEYWORDS: Eye, Data modeling, Visualization, Surgery, Databases, Image segmentation, 3D modeling, Medical imaging, Image filtering, Eye models

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PROCEEDINGS ARTICLE | March 12, 2018

Unsupervised segmentation of 3D medical images based on clustering and deep representation learning

Proc. SPIE. 10578, Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging

KEYWORDS: 3D acquisition, Tissues, Image segmentation, Medical imaging, Machine learning, Convolution, Lung cancer, Information science, 3D image processing

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PROCEEDINGS ARTICLE | March 6, 2018

Unsupervised pathology image segmentation using representation learning with spherical k-means

Proc. SPIE. 10581, Medical Imaging 2018: Digital Pathology

KEYWORDS: Image visualization, Visualization, Image segmentation, Pathology, Feature extraction, Lung, Machine learning, Lung cancer

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PROCEEDINGS ARTICLE | March 2, 2018

Fine segmentation of tiny blood vessel based on full connected conditional random field

Proc. SPIE. 10574, Medical Imaging 2018: Image Processing

KEYWORDS: Statistical analysis, Data modeling, Blood vessels, Image segmentation, Image processing, Arteries, 3D modeling, Medical imaging, Selenium, 3D image processing

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PROCEEDINGS ARTICLE | March 2, 2018

Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks

Proc. SPIE. 10574, Medical Imaging 2018: Image Processing

KEYWORDS: Data modeling, Image segmentation, Image processing, 3D modeling, Pancreas, Machine learning, Computed tomography, Convolution, Network architectures, Information science, 3D image processing

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PROCEEDINGS ARTICLE | February 27, 2018

Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images

Proc. SPIE. 10575, Medical Imaging 2018: Computer-Aided Diagnosis

KEYWORDS: Target detection, Chest, Image segmentation, Arteries, Lung, Computed tomography, Lung cancer, 3D image processing, Lymphatic system

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PROCEEDINGS ARTICLE | February 27, 2018

Cascade classification of endocytoscopic images of colorectal lesions for automated pathological diagnosis

Proc. SPIE. 10575, Medical Imaging 2018: Computer-Aided Diagnosis

KEYWORDS: Endoscopy, Cancer, Convolutional neural networks, Feature extraction, Endoscopes, Biopsy, Colorectal cancer, Image classification, Astatine, Information science

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SPIE Journal Paper | November 9, 2017

Automated mediastinal lymph node detection from CT volumes based on intensity targeted radial structure tensor analysis

Oda, Hirohisa , Bhatia, Kanwal K. , Oda, Masahiro , Kitasaka, Takayuki , Iwano, Shingo , Homma, Hirotoshi , Takabatake, Hirotsugu , Mori, Masaki , Natori, Hiroshi , Schnabel, Julia , Mori, Kensaku

JMI Vol. 4 Issue 04

KEYWORDS: Lymphatic system, Target detection, Detection and tracking algorithms, Computed tomography, Optical spheres, Lung, Digital filtering, Image segmentation, Chest, Lung cancer

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PROCEEDINGS ARTICLE | March 13, 2017

Extraction of membrane structure in eyeball from MR volumes

Proc. SPIE. 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging

KEYWORDS: Tissues, Surgery, Optical coherence tomography, Image segmentation, Retina, Digital filtering, Hough transforms, Head

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PROCEEDINGS ARTICLE | March 13, 2017

Extracellular matrix directions estimation of the heart on micro-focus x-ray CT volumes

Proc. SPIE. 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging

KEYWORDS: Visualization, Tissues, Image segmentation, Image processing, Pathology, X-rays, Diffusion, Heart, Computed tomography, 3D microstructuring, Cardiac imaging

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PROCEEDINGS ARTICLE | March 3, 2017

Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes

Proc. SPIE. 10134, Medical Imaging 2017: Computer-Aided Diagnosis

KEYWORDS: Target detection, Image processing algorithms and systems, Chest, Computer aided diagnosis and therapy, Blood vessels, Image segmentation, Feature extraction, Lung, Lung cancer, Esophagus, Computer-aided diagnosis, Information science, Lymphatic system

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PROCEEDINGS ARTICLE | March 3, 2017

An improved method for pancreas segmentation using SLIC and interactive region merging

Proc. SPIE. 10134, Medical Imaging 2017: Computer-Aided Diagnosis

KEYWORDS: Image processing algorithms and systems, Liver, Computer aided diagnosis and therapy, Tissues, Nickel, Reliability, Computing systems, Feature extraction, Computed tomography, Mahalanobis distance

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PROCEEDINGS ARTICLE | March 3, 2017

Airway extraction from 3D chest CT volumes based on iterative extension of VOI enhanced by cavity enhancement filter

Proc. SPIE. 10134, Medical Imaging 2017: Computer-Aided Diagnosis

KEYWORDS: Chest, Image segmentation, Lung, Image filtering, Shape analysis, Image enhancement, Computed tomography, Lung cancer, Electronic filtering, Information science, Emphysema

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PROCEEDINGS ARTICLE | March 3, 2017

Computer-aided diagnosis of mammographic masses using geometric verification-based image retrieval

Proc. SPIE. 10134, Medical Imaging 2017: Computer-Aided Diagnosis

KEYWORDS: Breast, Computer aided diagnosis and therapy, Breast cancer, Databases, Image segmentation, Feature extraction, Mammography, Image retrieval, Decision support systems

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PROCEEDINGS ARTICLE | March 24, 2016

Automated torso organ segmentation from 3D CT images using conditional random field

Proc. SPIE. 9785, Medical Imaging 2016: Computer-Aided Diagnosis

KEYWORDS: Liver, Image segmentation, Error analysis, Heart, Spleen, Machine learning, 3D image processing

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PROCEEDINGS ARTICLE | March 24, 2016

Ensemble lymph node detection from CT volumes combining local intensity structure analysis approach and appearance learning approach

Proc. SPIE. 9785, Medical Imaging 2016: Computer-Aided Diagnosis

KEYWORDS: Target detection, Cancer, Surgery, Image segmentation, Medical research, Feature extraction, Computer science, Detector development, Machine learning, Computed tomography, Analytical research, Computer engineering, Information science, Lymphatic system

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PROCEEDINGS ARTICLE | March 24, 2016

Intensity targeted radial structure tensor analysis and its application for automated mediastinal lymph node detection from CT volumes

Proc. SPIE. 9785, Medical Imaging 2016: Computer-Aided Diagnosis

KEYWORDS: Target detection, Chest, Optical spheres, Computer aided diagnosis and therapy, Tissues, Image segmentation, Solids, Image filtering, Machine learning, Lung cancer, Binary data, Lymphatic system

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PROCEEDINGS ARTICLE | March 21, 2016

Accurate airway segmentation based on intensity structure analysis and graph-cut

Proc. SPIE. 9784, Medical Imaging 2016: Image Processing

KEYWORDS: Chest, Computer aided diagnosis and therapy, Image segmentation, Pattern recognition, Feature extraction, Lung, Machine learning, Computed tomography, Analytical research, Lung cancer, Electronic filtering, Information science, Emphysema

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PROCEEDINGS ARTICLE | March 21, 2016

Precise renal artery segmentation for estimation of renal vascular dominant regions

Proc. SPIE. 9784, Medical Imaging 2016: Image Processing

KEYWORDS: Mathematical modeling, Gold, 3D image enhancement, Detection and tracking algorithms, Tumors, Surgery, Blood, Blood vessels, Image segmentation, Diagnostics, Arteries, 3D modeling, Image analysis, Distance measurement, Kidney, Performance modeling

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PROCEEDINGS ARTICLE | March 18, 2016

Position-based adjustment of landmark-based correspondence finding in electromagnetic sensor-based colonoscope tracking method

Proc. SPIE. 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling

KEYWORDS: Endoscopy, Lithium, Computer aided diagnosis and therapy, Sensors, Error analysis, Computing systems, Diagnostics, Navigation systems, Colon, Information science

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PROCEEDINGS ARTICLE | March 18, 2016

An improved robust hand-eye calibration for endoscopy navigation system

Proc. SPIE. 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling

KEYWORDS: Endoscopy, Eye, Safety, Optical sensors, Detection and tracking algorithms, Imaging systems, Cameras, Calibration, Error analysis, Distortion, Endoscopes, Navigation systems, Optical tracking

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SPIE Journal Paper | December 17, 2015

Pneumoperitoneum simulation based on mass-spring-damper models for laparoscopic surgical planning

Nimura, Yukitaka , Di Qu, Jia , Hayashi, Yuichiro , Oda, Masahiro , Kitasaka, Takayuki , Hashizume, Makoto , Misawa, Kazunari , Mori, Kensaku

JMI Vol. 2 Issue 04

KEYWORDS: Tissues, Laparoscopy, Surgery, Error analysis, Image segmentation, Carbon monoxide, Motion models, Image processing, Computed tomography, Visualization

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PROCEEDINGS ARTICLE | May 8, 2015

Automated branching pattern report generation for laparoscopic surgery assistance

Proc. SPIE. 9414, Medical Imaging 2015: Computer-Aided Diagnosis

KEYWORDS: Photovoltaics, Veins, Surgery, Cameras, Blood vessels, Diagnostics, Adaptive optics, Arteries, Stomach, Laparoscopy

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PROCEEDINGS ARTICLE | March 20, 2015

Pancreas segmentation from 3D abdominal CT images using patient-specific weighted subspatial probabilistic atlases

Proc. SPIE. 9413, Medical Imaging 2015: Image Processing

KEYWORDS: Gold, Liver, Computer aided diagnosis and therapy, Surgery, Image segmentation, Computing systems, Image registration, Pancreas, Computed tomography, 3D image processing

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PROCEEDINGS ARTICLE | March 20, 2015

Automated torso organ segmentation from 3D CT images using structured perceptron and dual decomposition

Proc. SPIE. 9414, Medical Imaging 2015: Computer-Aided Diagnosis

KEYWORDS: Liver, Image segmentation, Heart, Lung, Pancreas, Spleen, Kidney, Computed tomography, Gallbladder, Binary data

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PROCEEDINGS ARTICLE | March 20, 2015

Investigation of optimal feature value set in false positive reduction process for automated abdominal lymph node detection method

Proc. SPIE. 9414, Medical Imaging 2015: Computer-Aided Diagnosis

KEYWORDS: Cancer, Surgery, Feature extraction, Medical imaging, Computed tomography, Feature selection, Intestine, Information science, 3D image processing, Lymphatic system

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PROCEEDINGS ARTICLE | March 20, 2015

Connection method of separated luminal regions of intestine from CT volumes

Proc. SPIE. 9414, Medical Imaging 2015: Computer-Aided Diagnosis

KEYWORDS: Endoscopy, Magnetic resonance imaging, Image segmentation, Diagnostics, Endoscopes, Computed tomography, Intestine, Stomach, Rectum, CAD systems

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PROCEEDINGS ARTICLE | March 18, 2015

A model-free method for annotating on vascular structure in volume rendered images

Proc. SPIE. 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling

KEYWORDS: Lithium, Visualization, Blood vessels, Image segmentation, Image processing, Computing systems, Medical imaging, Volume rendering, Natural surfaces, 3D image processing

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PROCEEDINGS ARTICLE | March 18, 2015

Development and clinical application of surgical navigation system for laparoscopic hepatectomy

Proc. SPIE. 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling

KEYWORDS: Veins, Liver, Surgery, Skin, Image registration, Navigation systems, Computed tomography, Electromagnetism, 3D image processing, Laparoscopy

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PROCEEDINGS ARTICLE | March 2, 2015

Development of new devices for detection of gastric cancer on laparoscopic surgery using near-infrared light

Proc. SPIE. 9304, Endoscopic Microscopy X; and Optical Techniques in Pulmonary Medicine II

KEYWORDS: Oncology, Cancer, Tumors, Surgery, Glasses, Luminescence, Colorectal cancer, Liver cancer, Stomach, Laparoscopy

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PROCEEDINGS ARTICLE | March 24, 2014

Automated abdominal lymph node segmentation based on RST analysis and SVM

Proc. SPIE. 9035, Medical Imaging 2014: Computer-Aided Diagnosis

KEYWORDS: Medicine, Computer aided diagnosis and therapy, Cancer, Opacity, Medical imaging, Shape analysis, Computed tomography, Analytical research, Information science, Lymphatic system

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PROCEEDINGS ARTICLE | March 21, 2014

Development of automated extraction method of biliary tract from abdominal CT volumes based on local intensity structure analysis

Proc. SPIE. 9034, Medical Imaging 2014: Image Processing

KEYWORDS: Liver, Tissues, Surgery, Image segmentation, Image processing, Digital filtering, Computing systems, Linear filtering, Medical imaging, Computed tomography

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PROCEEDINGS ARTICLE | March 12, 2014

Adaptive fiducial-free registration using multiple point selection for real-time electromagnetically navigated endoscopy

Proc. SPIE. 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling

KEYWORDS: Endoscopy, Sensors, Image registration, Endoscopes, Image sensors, Navigation systems, Distance measurement, Computed tomography, Bismuth, Electromagnetism

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PROCEEDINGS ARTICLE | March 12, 2014

Colonoscope navigation system using colonoscope tracking method based on line registration

Proc. SPIE. 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling

KEYWORDS: Endoscopy, Detection and tracking algorithms, Sensors, Diagnostics, Control systems, Endoscopes, Navigation systems, Computed tomography, Colon, Virtual colonoscopy

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PROCEEDINGS ARTICLE | March 18, 2013

Automatic abdominal lymph node detection method based on local intensity structure analysis from 3D x-ray CT images

Proc. SPIE. 8670, Medical Imaging 2013: Computer-Aided Diagnosis

KEYWORDS: X-ray computed tomography, Cancer, Tumors, Surgery, X-rays, Computed tomography, X-ray imaging, Spherical lenses, 3D image processing, Lymphatic system

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PROCEEDINGS ARTICLE | March 13, 2013

A method for automated anatomical labeling of abdominal veins extracted from 3D CT images

Proc. SPIE. 8669, Medical Imaging 2013: Image Processing

KEYWORDS: Photovoltaics, Veins, Surgery, Blood vessels, Computing systems, Arteries, Machine learning, Computed tomography, Rule based systems, 3D image processing

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PROCEEDINGS ARTICLE | March 13, 2013

Multi-organ segmentation from 3D abdominal CT images using patient-specific weighted-probabilistic atlas

Proc. SPIE. 8669, Medical Imaging 2013: Image Processing

KEYWORDS: Liver, Databases, Image segmentation, Image processing, Pancreas, Spleen, Kidney, Computed tomography, Expectation maximization algorithms, 3D image processing

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PROCEEDINGS ARTICLE | February 28, 2013

Supine and prone registration of the colon for CT colonography based on dynamic programming technique

Proc. SPIE. 8670, Medical Imaging 2013: Computer-Aided Diagnosis

KEYWORDS: Computer aided diagnosis and therapy, Computer programming, Image registration, Computed tomography, Colon, CAD systems, Information science, 3D image processing, Laser sintering, Virtual colonoscopy

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PROCEEDINGS ARTICLE | February 23, 2012

Lung lobe segmentation based on statistical atlas and graph cuts

Proc. SPIE. 8315, Medical Imaging 2012: Computer-Aided Diagnosis

KEYWORDS: Image compression, Computer aided diagnosis and therapy, Surgery, Image segmentation, Computing systems, Lung, Medical imaging, Computed tomography, Chronic obstructive pulmonary disease, Current controlled current source

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PROCEEDINGS ARTICLE | February 23, 2012

Automatic segmentation of solitary pulmonary nodules based on local intensity structure analysis and 3D neighborhood features in 3D chest CT images

Proc. SPIE. 8315, Medical Imaging 2012: Computer-Aided Diagnosis

KEYWORDS: Chest, Computer aided diagnosis and therapy, Databases, Image segmentation, Computing systems, Medical imaging, Computed tomography, Lung cancer, 3D image processing, Current controlled current source

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PROCEEDINGS ARTICLE | February 23, 2012

Automated incision line determination for virtual unfolded view generation of the stomach from 3D abdominal CT images

Proc. SPIE. 8315, Medical Imaging 2012: Computer-Aided Diagnosis

KEYWORDS: Endoscopy, X-ray computed tomography, Cancer, Image processing, Pathology, Computing systems, Computed tomography, Stomach, Information science, 3D image processing

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PROCEEDINGS ARTICLE | February 17, 2012

A novel external bronchoscope tracking model beyond electromagnetic localizers: dynamic phantom validation

Proc. SPIE. 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling

KEYWORDS: Infrared sensors, Cameras, Sensors, Image processing, Video, Optical tracking, Motion models, Motion measurement, Motion estimation, Prototyping

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PROCEEDINGS ARTICLE | February 17, 2012

Evaluation of deformation accuracy of a virtual pneumoperitoneum method based on clinical trials for patient-specific laparoscopic surgery simulator

Proc. SPIE. 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling

KEYWORDS: Surgery, Image processing, Computer simulations, 3D modeling, 3D metrology, Optical tracking, Computed tomography, 3D image processing, Laparoscopy, Clinical trials

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This paper evaluates deformation accuracy of a virtual pneumoperitoneum method by utilizing measurement data of real deformations of patient bodies. Laparoscopic surgery is an option of surgical operations that is less invasive technique as compared with traditional surgical operations. In laparoscopic surgery, the pneumoperitoneum process is performed to create a viewing and working space. Although a virtual pneumoperitoneum method based on 3D CT image deformation has been proposed for patient-specific laparoscopy simulators, quantitative evaluation based on measurements obtained in real surgery has not been performed. In this paper, we evaluate deformation accuracy of the virtual pneumoperitoneum method based on real deformation data of the abdominal wall measured in operating rooms (ORs.) The evaluation results are used to find optimal deformation parameters of the virtual pneumoperitoneum method. We measure landmark positions on the abdominal wall on a 3D CT image taken before performing a pneumoperitoneum process. The landmark positions are defined based on anatomical structure of a patient body. We also measure the landmark positions on a 3D CT image deformed by the virtual pneumoperitoneum method. To measure real deformations of the abdominal wall, we measure the landmark positions on the abdominal wall of a patient before and after the pneumoperitoneum process in the OR. We transform the landmark positions measured in the OR from the tracker coordinate system to the CT coordinate system. A positional error of the virtual pneumoperitoneum method is calculated based on positional differences between the landmark positions on the 3D CT image and the transformed landmark positions. Experimental results based on eight cases of surgeries showed that the minimal positional error was 13.8 mm. The positional error can be decreased from the previous method by calculating optimal deformation parameters of the virtual pneumoperitoneum method from the experimental results.

PROCEEDINGS ARTICLE | February 14, 2012

Automated anatomical labeling method for abdominal arteries extracted from 3D abdominal CT images

Proc. SPIE. 8314, Medical Imaging 2012: Image Processing

KEYWORDS: Surgery, Blood vessels, Image processing, Adaptive optics, Arteries, Medical imaging, Computed tomography, Shape memory alloys, 3D image processing, Current controlled current source

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PROCEEDINGS ARTICLE | March 15, 2011

A study on automated anatomical labeling to arteries concerning with colon from 3D abdominal CT images

Proc. SPIE. 7962, Medical Imaging 2011: Image Processing

KEYWORDS: 3D acquisition, Surgery, Image processing, Computing systems, Arteries, Medical imaging, Computed tomography, Colon, 3D image processing, Current controlled current source

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PROCEEDINGS ARTICLE | March 9, 2011

A study on quantifying COPD severity by combining pulmonary function tests and CT image analysis

Proc. SPIE. 7963, Medical Imaging 2011: Computer-Aided Diagnosis

KEYWORDS: Chest, Blood vessels, Distortion, Image analysis, Lung, Medical imaging, Computed tomography, Pulmonary function tests, Emphysema, Chronic obstructive pulmonary disease

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PROCEEDINGS ARTICLE | March 9, 2011

Detection of longitudinal ulcer using roughness value for computer aided diagnosis of Crohn's disease

Proc. SPIE. 7963, Medical Imaging 2011: Computer-Aided Diagnosis

KEYWORDS: Computer aided diagnosis and therapy, Computing systems, Endoscopes, Medical imaging, Computed tomography, Intestine, Current controlled current source

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PROCEEDINGS ARTICLE | March 4, 2011

Automatic segmentation and identification of solitary pulmonary nodules on follow-up CT scans based on local intensity structure analysis and non-rigid image registration

Proc. SPIE. 7963, Medical Imaging 2011: Computer-Aided Diagnosis

KEYWORDS: Chest, Computer aided diagnosis and therapy, Blood vessels, Image segmentation, Diagnostics, Image analysis, Image registration, Lung, Distance measurement, Computed tomography

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PROCEEDINGS ARTICLE | March 2, 2011

A novel bronchoscope tracking method for bronchoscopic navigation using a low cost optical mouse sensor

Proc. SPIE. 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling

KEYWORDS: Cameras, Sensors, Image processing, Video, Image registration, Navigation systems, Optical tracking, Computed tomography, Bronchoscopy, 3D image processing

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PROCEEDINGS ARTICLE | March 2, 2011

On scale invariant features and sequential Monte Carlo sampling for bronchoscope tracking

Proc. SPIE. 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling

KEYWORDS: Statistical analysis, Detection and tracking algorithms, Cameras, Video, Monte Carlo methods, Computed tomography, Position sensors, Motion models, Motion estimation, Automatic tracking

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PROCEEDINGS ARTICLE | March 13, 2010

Blood vessel segmentation using line-direction vector based on Hessian analysis

Proc. SPIE. 7623, Medical Imaging 2010: Image Processing

KEYWORDS: Endoscopy, Tissues, Surgery, Blood vessels, Image segmentation, Image processing, Vascular diseases, Medical imaging, Laparoscopy, Current controlled current source

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PROCEEDINGS ARTICLE | March 13, 2010

Adaptive model based pulmonary artery segmentation in 3D chest CT

Proc. SPIE. 7623, Medical Imaging 2010: Image Processing

KEYWORDS: Chest, Optical spheres, Data modeling, Image segmentation, Image processing, Hough transforms, Arteries, 3D modeling, Transform theory, Computed tomography

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PROCEEDINGS ARTICLE | March 9, 2010

Haustral fold registration in CT colonography and its application to registration of virtual stretched view of the colon

Proc. SPIE. 7624, Medical Imaging 2010: Computer-Aided Diagnosis

KEYWORDS: Computer aided diagnosis and therapy, Medical imaging, Colon, Virtual colonoscopy, Current controlled current source

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PROCEEDINGS ARTICLE | March 9, 2010

Development of CAD prototype system for Crohn's disease

Proc. SPIE. 7624, Medical Imaging 2010: Computer-Aided Diagnosis

KEYWORDS: Endoscopy, X-ray computed tomography, Computer aided diagnosis and therapy, X-rays, Endoscopes, Computed tomography, Intestine, CAD systems, Prototyping, Virtual colonoscopy

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PROCEEDINGS ARTICLE | March 3, 2010

A rapid method for compensating registration error between tracker and endoscope in flexible neuroendoscopic surgery navigation system

Proc. SPIE. 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling

KEYWORDS: Endoscopy, Surgery, Imaging systems, Cameras, Sensors, Error analysis, Image registration, Endoscopes, Navigation systems, Electromagnetism

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PROCEEDINGS ARTICLE | March 3, 2010

Towards hybrid bronchoscope tracking under respiratory motion: evaluation on a dynamic motion phantom

Proc. SPIE. 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling

KEYWORDS: Imaging systems, Cameras, Sensors, Calibration, Computing systems, Image registration, Image sensors, Navigation systems, Computed tomography, Rigid registration

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PROCEEDINGS ARTICLE | March 13, 2009

A method for accelerating bronchoscope tracking based on image registration by using GPU

Proc. SPIE. 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling

KEYWORDS: Video acceleration, Visualization, Cameras, Image processing, Video, Image registration, Volume rendering, Navigation systems, Bismuth, GPU based image processing

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PROCEEDINGS ARTICLE | March 13, 2009

An improved method for compensating ultra-tiny electromagnetic tracker utilizing position and orientation information and its application to a flexible neuroendoscopic surgery navigation system

Proc. SPIE. 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling

KEYWORDS: Visual process modeling, Visualization, Surgery, Imaging systems, Cameras, Sensors, Navigation systems, Chlorine, Electromagnetism, Current controlled current source

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This paper presents an improved method for compensating ultra-tiny electromagnetic tracker (UEMT) outputs and its application to a flexible neuroendoscopic surgery navigation system. Recently, UEMT is widely used in a surgical navigation system using a flexible endoscope to obtain the position and the orientation of an endoscopic camera.However, due to the distortion of the electromagnetic field, the accuracy of such UEMT system becomes low. Several research groups have presented methods for compensating UEMT outputs that are deteriorated by ferromagnetic objects existing around the UEMT. These compensation methods firstly acquired positions and orientations (sample data) by sweeping a special tool (hybrid tool) having a UEMT and an optical tracker (OT) in free-hand. Then a polynomial compensating UEMT outputs is computed from both outputs. However, these methods have following problems: 1) Compensation function is obtained as a function of position, and orientation information is not used in compensation. 2) Although we need to slowly move the hybrid tool to obtain better compensation results, this leads increase of time. To overcome such problems, this paper presents a UEMT-output compensation function that is a function of not only position but also orientation. Also, a new sweeping method of the hybrid tool is proposed in order to reduce the sweeping time required for obtaining sample data. We evaluated the accuracy and feasibility of the proposed method by experiments in an OpenMR operating room. According to the result of experiments, the accuracy of the compensation method is improved about 20% than that of the previous method. We implemented the proposed method in a navigation system for flexible neuroendoscopic surgery and performed a phantom test and several clinical application tests. The result showed the proposed method is efficient for UEMT output compensation and improves accuracy of a flexible neuroendoscopic surgery system.

PROCEEDINGS ARTICLE | March 5, 2009

Automatic mediastinal lymph node detection in chest CT

Proc. SPIE. 7260, Medical Imaging 2009: Computer-Aided Diagnosis

KEYWORDS: Neck, Chest, Optical spheres, Image segmentation, Lung, Bone, Computed tomography, Lung cancer, Esophagus, Lymphatic system

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PROCEEDINGS ARTICLE | March 3, 2009

Haustral fold detection method for CT colonography based on difference filter along colon centerline

Proc. SPIE. 7260, Medical Imaging 2009: Computer-Aided Diagnosis

KEYWORDS: X-ray computed tomography, Computer aided diagnosis and therapy, Medical research, Image registration, Computed tomography, Colon, Information science, 3D image processing, Virtual colonoscopy, Ridge detection

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PROCEEDINGS ARTICLE | April 3, 2008

Automated anatomical labeling of bronchial branches using multiple classifiers and its application to bronchoscopy guidance based on fusion of virtual and real bronchoscopy

Proc. SPIE. 6916, Medical Imaging 2008: Physiology, Function, and Structure from Medical Images

KEYWORDS: 3D acquisition, Data modeling, Cameras, Image segmentation, 3D modeling, Feature extraction, Computed tomography, Bismuth, Bronchoscopy, 3D image processing

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PROCEEDINGS ARTICLE | March 27, 2008

Digital bowel cleansing free detection method of colonic polyp from fecal tagging CT images

Proc. SPIE. 6915, Medical Imaging 2008: Computer-Aided Diagnosis

KEYWORDS: Cancer, Tissues, Image processing, Inspection, Image enhancement, Computed tomography, Colon, Natural surfaces, 3D image processing, Virtual colonoscopy

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PROCEEDINGS ARTICLE | March 12, 2008

Extraction of teniae coli from CT volumes for assisting virtual colonoscopy

Proc. SPIE. 6916, Medical Imaging 2008: Physiology, Function, and Structure from Medical Images

KEYWORDS: Diagnostics, Medical imaging, Physiology, Colon, Rectum, Virtual colonoscopy

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PROCEEDINGS ARTICLE | March 11, 2008

Informative frame detection from wireless capsule video endoscopic images

Proc. SPIE. 6914, Medical Imaging 2008: Image Processing

KEYWORDS: Endoscopy, Visualization, Tissues, Image segmentation, Video, Wavelets, Feature extraction, Image filtering, Feature selection, Liquids

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PROCEEDINGS ARTICLE | March 11, 2008

Lung lobe and segmental lobe extraction from 3D chest CT datasets based on figure decomposition and Voronoi division

Proc. SPIE. 6914, Medical Imaging 2008: Image Processing

KEYWORDS: Chest, Image segmentation, Image processing, Lung, Medical imaging, Image filtering, Image enhancement, Computed tomography, Algorithm development, CAD systems

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PROCEEDINGS ARTICLE | May 10, 2007

A method for bronchoscope tracking using position sensor without fiducial markers

Proc. SPIE. 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images

KEYWORDS: Imaging systems, Cameras, Sensors, Image segmentation, Image registration, Image sensors, Navigation systems, Computed tomography, Position sensors, Bronchoscopy

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PROCEEDINGS ARTICLE | March 30, 2007

A new method for detecting colonic polyps based on local intensity structure analysis from 3D abdominal CT images

Proc. SPIE. 6514, Medical Imaging 2007: Computer-Aided Diagnosis

KEYWORDS: X-ray computed tomography, Cancer, Diagnostics, Image filtering, Image enhancement, Computed tomography, Colon, Blob detection, 3D image processing, Virtual colonoscopy

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PROCEEDINGS ARTICLE | March 29, 2007

A method for extracting multi-organ from four-phase contrasted CT images based on CT value distribution estimation using EM-algorithm

Proc. SPIE. 6514, Medical Imaging 2007: Computer-Aided Diagnosis

KEYWORDS: Veins, Statistical analysis, Liver, Image segmentation, Arteries, Pancreas, Spleen, Kidney, Computed tomography, Expectation maximization algorithms

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PROCEEDINGS ARTICLE | March 21, 2007

Compensation of electromagnetic tracking system using an optical tracker and its application to brochoscopy navigation system

Proc. SPIE. 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures

KEYWORDS: Ferromagnetics, Sensors, Magnetism, Distortion, Navigation systems, Optical tracking, Computed tomography, Magnetic sensors, Bronchoscopy, Electromagnetism

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PROCEEDINGS ARTICLE | March 21, 2007

Easy and stable bronchoscope camera calibration technique for bronchoscope navigation system

Proc. SPIE. 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures

KEYWORDS: Imaging systems, Cameras, Sensors, Calibration, Error analysis, Distortion, Feature extraction, Navigation systems, Computed tomography, 3D image processing

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PROCEEDINGS ARTICLE | March 13, 2006

Fast and accurate tract unfolding based on stable volumetric image deformation

Proc. SPIE. 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images

KEYWORDS: Endoscopy, Image visualization, Visual process modeling, Data modeling, Visualization, Computed tomography, Colon, Stomach, Motion models, Natural surfaces

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PROCEEDINGS ARTICLE | March 13, 2006

Branch identification method for CT-guided bronchoscopy based on eigenspace image matching between real and virtual bronchoscopic images

Proc. SPIE. 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images

KEYWORDS: Switching, Cameras, Image processing, Video, Image analysis, Image registration, Medical imaging, Computed tomography, Bronchoscopy, 3D image processing

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PROCEEDINGS ARTICLE | March 13, 2006

A method for generating virtual unfolded view of colon using spring model

Proc. SPIE. 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images

KEYWORDS: X-ray computed tomography, Computer aided diagnosis and therapy, Cancer, Inspection, Diagnostics, Volume rendering, Computed tomography, Colon, 3D image processing, Virtual colonoscopy

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PROCEEDINGS ARTICLE | March 10, 2006

Three-dimensional analysis of alveolar bone resorption by image processing of 3-D dental CT images

Proc. SPIE. 6144, Medical Imaging 2006: Image Processing

KEYWORDS: Image visualization, X-ray computed tomography, Teeth, Visualization, Image segmentation, Image processing, Bone, Cements, Computed tomography, 3D image processing

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PROCEEDINGS ARTICLE | April 14, 2005

A method for detecting colonic polyps using curve fitting from 3D abdominal CT images

Proc. SPIE. 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images

KEYWORDS: Target detection, Computer aided diagnosis and therapy, Cancer, Image segmentation, Error analysis, Gaussian filters, Computed tomography, Colon, 3D image processing, Virtual colonoscopy

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This paper proposes a method for detecting colonic-polyp candidates from 3-D abdominal CT images based on curvatures calculated from curve fitting results. The proposed method can detect polyp candidates with a very low false-positive rate. Development of a computer aided detection (CAD) system for colonic polyps is expected to be continue due to significant increase of colonic cancers in Japan. Many research groups have reported methods for detecting colonic polyp candidates based on curvatures on colonic walls. However, because they approximated the first and second-order derivatives, which are required for computing curvatures, by using intensity differentiation, detection results were significantly influenced by noise and included many false-positives. To reduce false-positives, we propose a method for geometrically calculating curvatures based on curve-fitting to iso-intensity points. First the colonic wall region is segmented by using a region-growing method from original images. For each point on the colonic wall (target point), we find iso-intensity points around the given processing area by using linear-interpolation. Curve fitting to the obtained points is performed by using a least squared error method, and the size of the processing area is automatically adjusted during the curve fitting process. The curvature of the target point is calculated from the first and second derivatives of the obtained curve, after which the shape index and curvedness are calculated. We extract points whose shapes are classified as convex and within the predefined curvedness. Colonic polyp candidates are obtained by performing connected component analysis including small component elimination. The proposed method was applied to a noisy artificial-figure image and abdominal CT images. Experimental results indicate that the proposed method detected a few false-positives while maintaining 100% true positive rate, whereas the previous method generated 10 FPs under the same experimental conditions.

PROCEEDINGS ARTICLE | April 14, 2005

A method for generating unfolded views of the stomach based on volumetric image deformation

Proc. SPIE. 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images

KEYWORDS: Endoscopy, Image visualization, 3D acquisition, 3D image reconstruction, Visualization, Image processing, 3D modeling, Computed tomography, Stomach, 3D image processing

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PROCEEDINGS ARTICLE | April 30, 2004

New image similarity measures for bronchoscope tracking based on image registration between virtual and real bronchoscopic images

Proc. SPIE. 5369, Medical Imaging 2004: Physiology, Function, and Structure from Medical Images

KEYWORDS: Endoscopy, Cameras, Image processing, Image registration, Endoscopes, Medical imaging, Navigation systems, Motion estimation, Filtering (signal processing), 3D image processing

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PROCEEDINGS ARTICLE | April 30, 2004

Virtual pneumoperitoneum for generating virtual laparoscopic images based on shape deformation

Proc. SPIE. 5369, Medical Imaging 2004: Physiology, Function, and Structure from Medical Images

KEYWORDS: Endoscopy, Liver, Visualization, Surgery, Image segmentation, Image processing, Navigation systems, Computed tomography, 3D image processing, Laparoscopy

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PROCEEDINGS ARTICLE | May 2, 2003

Method for generating unfolded views of organ and its comparison with virtual endoscopy based on undisplayed region rate

Proc. SPIE. 5031, Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications

KEYWORDS: Endoscopy, Image visualization, Cancer, Visualization, Computer simulations, Computed tomography, Colon, Stomach, Process modeling, 3D image processing

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PROCEEDINGS ARTICLE | May 2, 2003

Quantitative evaluation of observation methods in virtual endoscopy based on the rate of undisplayed region

Proc. SPIE. 5031, Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications

KEYWORDS: Endoscopy, Visualization, Surgery, Cameras, Image processing, Diagnostics, Distortion, Computed tomography, Colon, Virtual colonoscopy

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PROCEEDINGS ARTICLE | May 2, 2003

Fast software-based volume rendering using multimedia instructions on PC platforms and its application to virtual endoscopy

Proc. SPIE. 5031, Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications

KEYWORDS: Endoscopy, Light sources, Visualization, Opacity, Image processing, Volume rendering, Translucency, Multimedia, Bronchoscopy, 3D image processing

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PROCEEDINGS ARTICLE | May 9, 2002

Automated extraction of aorta and pulmonary artery in mediastinum from 3D chest x-ray CT images without contrast medium

Proc. SPIE. 4684, Medical Imaging 2002: Image Processing

KEYWORDS: Chest, X-ray computed tomography, Blood vessels, Image segmentation, Image processing, Arteries, 3D modeling, Computed tomography, Chest imaging, 3D image processing

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PROCEEDINGS ARTICLE | April 24, 2002

Camera motion tracking of real bronchoscope using epipolar geometry analysis and CT-derived bronchoscopic images

Proc. SPIE. 4683, Medical Imaging 2002: Physiology and Function from Multidimensional Images

KEYWORDS: Endoscopy, Cameras, Image processing, Video, Image registration, Endoscopes, Navigation systems, Computed tomography, Motion analysis, Motion estimation

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PROCEEDINGS ARTICLE | May 21, 2001

Camera motion tracking of real endoscope by using virtual endoscopy system and texture information

Proc. SPIE. 4321, Medical Imaging 2001: Physiology and Function from Multidimensional Images

KEYWORDS: Endoscopy, X-ray computed tomography, Cameras, Video, Image registration, Endoscopes, Volume rendering, Navigation systems, X-ray imaging, Motion estimation

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PROCEEDINGS ARTICLE | May 21, 2001

Method for detecting unobserved regions in virtual endoscopy system

Proc. SPIE. 4321, Medical Imaging 2001: Physiology and Function from Multidimensional Images

KEYWORDS: Endoscopy, Tumors, Visualization, Opacity, X-rays, Diagnostics, Volume rendering, Colon, X-ray imaging, Virtual colonoscopy

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PROCEEDINGS ARTICLE | April 20, 2000

Method for tracking camera motion of real endoscope by using virtual endoscopy system

Proc. SPIE. 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images

KEYWORDS: Endoscopy, Image fusion, Imaging systems, Cameras, Video, Image restoration, Image analysis, Image registration, Endoscopes, Motion estimation

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PROCEEDINGS ARTICLE | April 20, 2000

Method of interactive specification of interested regions via a volume-rendered image with application to virtualized endoscope system

Proc. SPIE. 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images

KEYWORDS: Endoscopy, Image visualization, Tumors, Visualization, Opacity, Image segmentation, Endoscopes, Volume rendering, Natural surfaces, 3D image processing

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PROCEEDINGS ARTICLE | May 20, 1999

Automated display of the anatomical name of bronchial branches in a virtual bronchoscopy system and its application as a training tool for medical students

Proc. SPIE. 3660, Medical Imaging 1999: Physiology and Function from Multidimensional Images

KEYWORDS: Endoscopy, X-ray computed tomography, Tumors, Image processing, X-rays, Navigation systems, Computed tomography, X-ray imaging, Bronchoscopy, 3D image processing

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