Dr. Jun Tan Profile

Dr. Jun Tan

at Univ of Texas Southwestern Medical Ctr at Dallas

SPIE Involvement:

Author

Publications (15)

PROCEEDINGS ARTICLE | April 16, 2012

Classification of CT examinations for COPD visual severity analysis

Proc. SPIE. 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging

KEYWORDS: Visual analytics, Visualization, Image segmentation, Wavelets, Feature extraction, Lung, Computed tomography, Image classification, Emphysema, Chronic obstructive pulmonary disease

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PROCEEDINGS ARTICLE | March 3, 2012

Onboard cone beam CT with flexible image trajectories to improve image quality and longitudinal coverage: simulation and phantom study

Proc. SPIE. 8313, Medical Imaging 2012: Physics of Medical Imaging

KEYWORDS: MATLAB, X-ray computed tomography, Sensors, Image segmentation, X-ray sources, Image restoration, Computer simulations, Image quality, Reconstruction algorithms, Signal detection

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PROCEEDINGS ARTICLE | March 16, 2011

Lung registration using airway tree morphometry

Proc. SPIE. 7965, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging

KEYWORDS: Computer aided diagnosis and therapy, Detection and tracking algorithms, Tumors, Image segmentation, Image registration, Lung, Medical imaging, Computed tomography, Analytical research, Motion analysis

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PROCEEDINGS ARTICLE | March 16, 2011

Quantitative computed tomography of lung parenchyma in patients with emphysema: analysis of higher-density lung regions

Proc. SPIE. 7965, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging

KEYWORDS: Photovoltaics, Statistical analysis, X-ray computed tomography, Visualization, Image segmentation, Solar cells, Lung, Computed tomography, Emphysema, Chronic obstructive pulmonary disease

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PROCEEDINGS ARTICLE | March 9, 2011

Texture-based segmentation and analysis of emphysema depicted on CT images

Proc. SPIE. 7965, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging

KEYWORDS: Visualization, Image segmentation, Feature extraction, Lung, Optical inspection, Fractal analysis, Computed tomography, Lung cancer, Emphysema, Chronic obstructive pulmonary disease

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PROCEEDINGS ARTICLE | March 9, 2011

Automated segmentation of pulmonary nodule depicted on CT images

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

KEYWORDS: Tissues, Surgery, Image segmentation, 3D modeling, Lung, Volume rendering, Shape analysis, Computed tomography, Natural surfaces, Visibility

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PROCEEDINGS ARTICLE | March 9, 2011

Computerized prediction of breast cancer risk: comparison between the global and local bilateral mammographic tissue asymmetry

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

KEYWORDS: Breast, Tumor growth modeling, Cancer, Breast cancer, Data modeling, Tissues, Databases, Feature extraction, Mammography, Performance modeling

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PROCEEDINGS ARTICLE | March 3, 2011

Assessment of a CAD scheme in selecting the optimal focused microscopic scanning images of the metaphase chromosomes

Proc. SPIE. 7966, Medical Imaging 2011: Image Perception, Observer Performance, and Technology Assessment

KEYWORDS: Computer aided diagnosis and therapy, Cancer, Visualization, Image segmentation, Image processing, Diagnostics, Bone, Objectives, Genetics, Computer aided design

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PROCEEDINGS ARTICLE | March 9, 2010

Two-dimensional airway analysis using probabilistic neural networks

Proc. SPIE. 7626, Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging

KEYWORDS: Image processing algorithms and systems, Image segmentation, Lung, Neural networks, Computed tomography, Algorithm development, Radium, Chronic obstructive pulmonary disease, 3D image processing, Evolutionary algorithms

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PROCEEDINGS ARTICLE | March 9, 2010

Improving performance and reliability of interactive CAD schemes

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

KEYWORDS: Breast, Computer aided diagnosis and therapy, Visualization, Databases, Image segmentation, Reliability, Feature extraction, Medical imaging, Mammography, Computer aided design

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An interactive computer-aided detection or diagnosis (ICAD) scheme allows observers to query suspicious abnormalities (lesions) depicted on medical images. Once a suspicious region is queried, ICAD segments the abnormal region, computes a set of image features, searches for and identifies the reference regions depicted on the verified lesions that are similar to the queried one. Based on the distribution of the selected similar regions, ICAD generates a detection (or classification) score of the queried region depicting true-positive disease. In this study, we assessed the performance and reliability of an ICAD scheme when using a database including total 1500 positive images depicted verified breast masses and 1500 negative images depicted ICAD-cued false-positive regions as well as the leave-one-out testing method. We conducted two experiments. In the first experiment, we tested the relationship between ICAD performance and the size of reference database by systematically increasing the size of reference database from 200 to 3000 images. In the second experiment, we tested the relationship between ICAD performance and the similarity level between the queried image and the retrieved similar references by applying a set of thresholds to systematically remove the queried images whose similarity level to their most "similar" reference images are lower than threshold. The performance was compared based on the areas under ROC curves (AUC). The results showed that (1) as the increase of reference database, AUC value monotonically increased from 0.636±0.041 to 0.854±0.004 and (2) as the increase of similarity threshold values, AUC value also monotonically increased from 0.854±0.004 to 0.932±0.016. The increase of AUC values and the decrease of their standard deviations indicate the improvement of both CAD performance and reliability. The study suggested that (1) assembling the large and diverse reference databases and (2) assessing and reporting the reliability of ICAD-generated results based on the similarity measurement are important in development and application of the ICAD schemes.

PROCEEDINGS ARTICLE | March 27, 2009

Pulmonary airways tree segmentation from CT examinations using adaptive volume of interest

Proc. SPIE. 7259, Medical Imaging 2009: Image Processing

KEYWORDS: Chest, X-ray computed tomography, Image segmentation, Lung, Bone, Volume rendering, Computed tomography, Bronchoscopy, Chronic obstructive pulmonary disease, 3D image processing

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PROCEEDINGS ARTICLE | February 28, 2009

Association between lung function and airway wall density

Proc. SPIE. 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging

KEYWORDS: Gold, Medicine, Tissues, Signal attenuation, Image segmentation, Lung, Computed tomography, In vivo imaging, Medium wave, Chronic obstructive pulmonary disease

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SPIE Journal Paper | July 1, 2003

Design, testing, and simulation of NiTi shape-memory-alloy thin-film-based microgrippers

Huang, Weiming , Tan, Jun , Gao, Xiangyang , Yeo, Joon Hock

JM3 Vol. 2 Issue 03

KEYWORDS: Shape memory alloys, Silicon, Thin films, Optical simulations, Actuators, Temperature metrology, Semiconducting wafers, Sputter deposition, Microelectromechanical systems, Device simulation

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PROCEEDINGS ARTICLE | October 15, 2001

Design of thin-film-based microgrippers

Proc. SPIE. 4601, Micromachining and Microfabrication Process Technology and Devices

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PROCEEDINGS ARTICLE | April 6, 2001

NiTi shape memory alloy thin film based microgripper

Proc. SPIE. 4234, Smart Materials

KEYWORDS: Actuators, Thin films, Ultraviolet radiation, Silicon, Manufacturing, Silicon films, Optical simulations, Low pressure chemical vapor deposition, Promethium, Shape memory alloys

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Showing 5 of 15 publications

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