Dr. Sayan Dev Pathak Profile

Dr. Sayan Dev Pathak

Senior Software Development Engineer at Microsoft Corp

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Author

Publications (22)

Proceedings Article | 16 February 2012 Paper

Comparative analysis of semantic localization accuracies between adult and pediatric DICOM CT images

Duncan Robertson, Sayan Pathak, Antonio Criminisi, Steve White, David Haynor, Oliver Chen, Khan Siddiqui

Proceedings Volume 8319, 83190N (2012) https://doi.org/10.1117/12.912428

KEYWORDS: Computed tomography, Data modeling, Kidney, Liver, Databases, Abdomen, Heart, Feature extraction, Image registration, Detection and tracking algorithms

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Proceedings Article | 16 February 2012 Paper

Linking DICOM pixel data with radiology reports using automatic semantic annotation

Sayan Pathak, Woojin Kim, Indeera Munasinghe, Antonio Criminisi, Steve White, Khan Siddiqui

Proceedings Volume 8319, 83190D (2012) https://doi.org/10.1117/12.912391

KEYWORDS: Radiology, Computed tomography, Liver, Kidney, Medical imaging, Associative arrays, Web services, Image processing, Visualization, Algorithm development

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Proceedings Article | 12 March 2011 Paper

Robust linear registration of CT images using random regression forests

Ender Konukoglu, Antonio Criminisi, Sayan Pathak, Duncan Robertson, Steve White, David Haynor, Khan Siddiqui

Proceedings Volume 7962, 79621X (2011) https://doi.org/10.1117/12.878085

KEYWORDS: Image registration, Image processing algorithms and systems, Computed tomography, Image segmentation, Optimization (mathematics), Databases, Stochastic processes, Medical imaging, Detection and tracking algorithms, 3D image processing

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Proceedings Article | 25 February 2011 Paper

Validating automatic semantic annotation of anatomy in DICOM CT images

Sayan Pathak, Antonio Criminisi, Jamie Shotton, Steve White, Duncan Robertson, Bobbi Sparks, Indeera Munasinghe, Khan Siddiqui

Proceedings Volume 7967, 796704 (2011) https://doi.org/10.1117/12.878355

KEYWORDS: Computed tomography, Visualization, Lung, Databases, Liver, Detection and tracking algorithms, Kidney, Heart, Spleen, Feature extraction

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Proceedings Article | 28 February 2009 Paper

Gene expression based mouse brain parcellation using Markov random field regularized non-negative matrix factorization

Sayan Pathak, David Haynor, Carol Thompson, Ed Lein, Michael Hawrylycz

Proceedings Volume 7262, 726212 (2009) https://doi.org/10.1117/12.813437

KEYWORDS: Brain, Thalamus, Magnetorheological finishing, Computer simulations, Neuroimaging, Genetic algorithms, Somatosensory cortex, Algorithm development, 3D image processing, Spatial resolution

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Proceedings Article | 29 April 2005 Paper

Prostate ultrasound image segmentation using level set-based region flow with shape guidance

Lixin Gong, Lydia Ng, Sayan Pathak, Ismail Tutar, Paul Cho, David Haynor, Yongmin Kim

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.594403

KEYWORDS: Image segmentation, Prostate, Ultrasonography, Signal to noise ratio, Data modeling, Binary data, Statistical modeling, Image processing, Image processing algorithms and systems, Medical imaging

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Proceedings Article | 29 April 2005 Paper

Gene expression detection and expression visualization in in situ hybridized cross-sectional images of the mouse brain

Sayan Pathak, Ed Lein, Simon Smith, David Haynor, Michael Hawrylycz

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.594722

KEYWORDS: Brain, Tissues, Neuroimaging, Genetic algorithms, RGB color model, Image segmentation, Detection and tracking algorithms, Visualization, Algorithm development, Signal to noise ratio

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Proceedings Article | 12 April 2005 Paper

Advanced PET/CT fusion workstation for oncology imaging

Christopher Lau, Sayan Pathak, Lixin Gong, Paul Kinahan, Phillip Cheng, Lydia Ng

Proceedings Volume 5744, (2005) https://doi.org/10.1117/12.594749

KEYWORDS: Positron emission tomography, Computed tomography, Image registration, Image fusion, Cancer, Software development, Visualization, Control systems, Oncology, Scanners

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Proceedings Article | 5 May 2004 Paper

3D prostate shape modeling from sparsely acquired 2D images using deformable models

Ismail Tutar, Sayan Pathak, Yongmin Kim

Proceedings Volume 5367, (2004) https://doi.org/10.1117/12.536809

KEYWORDS: Prostate, 3D modeling, Image segmentation, 3D image processing, Ultrasonography, Data modeling, 3D image reconstruction, Distance measurement, Tumors, Mathematical modeling

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Proceedings Article | 30 May 2003 Paper

Prostate segmentation in ultrasound images with deformable shape priors

Lixin Gong, Sayan Pathak, David Haynor, Paul Cho, Yongmin Kim

Proceedings Volume 5029, (2003) https://doi.org/10.1117/12.480384

KEYWORDS: Prostate, Image segmentation, Ultrasonography, Image processing algorithms and systems, 3D modeling, Data modeling, Algorithm development, Edge detection, Detection and tracking algorithms, Speckle

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Proceedings Article | 17 May 2002 Paper

Registration of prostate brachytherapy seeds with prostate anatomy for improved patient dosimetry

Lixin Gong, Paul Cho, Ben Han, Sayan Pathak, David Haynor, Kent Wallner, Steve Sutlief, Yongmin Kim

Proceedings Volume 4681, (2002) https://doi.org/10.1117/12.466961

KEYWORDS: Prostate, Fluoroscopy, Ultrasonography, Image registration, 3D image processing, Computed tomography, Imaging systems, Prostate cancer, Tumors, Image segmentation

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Proceedings Article | 28 May 2001 Paper

Selective contrast enhancement of prostate ultrasound images using sticks with high-level information

Lixin Gong, Sayan Pathak, Yongmin Kim

Proceedings Volume 4319, (2001) https://doi.org/10.1117/12.428107

KEYWORDS: Prostate, Ultrasonography, Image segmentation, Image processing algorithms and systems, Image processing, Edge detection, Detection and tracking algorithms, Image enhancement, Speckle, Reflectors

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Proceedings Article | 18 April 2000 Paper

JPEG compression of ultrasound images and its effect in predicting pubic arch interference for prostrate brachytherapy

Ken Haberman, Sayan Pathak, Peter Grimm, Yongmin Kim

Proceedings Volume 3976, (2000) https://doi.org/10.1117/12.383082

KEYWORDS: Image compression, Prostate, Bone, Tissues, Detection and tracking algorithms, Ultrasonography, Video, Acquisition tracking and pointing, Diagnostics, Image quality

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Proceedings Article | 18 April 2000 Paper

Ultrasound image contrast enhancement via integrating transducer position information

Sayan Pathak, Yongmin Kim

Proceedings Volume 3976, (2000) https://doi.org/10.1117/12.383083

KEYWORDS: Ultrasonography, Image segmentation, Reflectors, Transducers, Speckle, Algorithm development, Image processing algorithms and systems, Prostate, Backscatter, Detection and tracking algorithms

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Proceedings Article | 18 April 2000 Paper

Effects of video digitization of ultrasound images in predicting pubic arch interference for prostate brachytherapy

Ken Haberman, Sayan Pathak, Yongmin Kim

Proceedings Volume 3976, (2000) https://doi.org/10.1117/12.383042

KEYWORDS: Prostate, Video, Bone, Tissues, Image processing, Ultrasonography, Detection and tracking algorithms, Image enhancement, Analog electronics, Image quality

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Proceedings Article | 26 May 1999 Paper

Predicting pubic arch interference using multiplanar transrectal ultrasound (TRUS) for prostate brachytherapy

Sayan Pathak, Peter Grimm, Jacque Estlund, Vikram Chalana, Yongmin Kim

Proceedings Volume 3658, (1999) https://doi.org/10.1117/12.349471

KEYWORDS: Prostate, Ultrasonography, Bone, Tissues, Image segmentation, Visualization, Image enhancement, Speckle, Surgery, Image contrast enhancement

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Proceedings Article | 26 May 1999 Paper

Interactive tool for visualization and segmentation of permanent radioactive seeds in postoperative prostate brachytherapy CT images

Sayan Pathak, Kevin Stoknes, Peter Grimm, Jacque Estlund, Vikram Chalana, Yongmin Kim

Proceedings Volume 3658, (1999) https://doi.org/10.1117/12.349417

KEYWORDS: Prostate, Image segmentation, X-ray computed tomography, Visualization, Human-machine interfaces, Computed tomography, Prostate cancer, Image processing algorithms and systems, Radiation effects, Tissues

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Proceedings Article | 26 June 1998 Paper

Fast convolution on a programmable media processor and application in unsharp masking

Ravi Managuli, Chris Basoglu, Sayan Pathak, Yongmin Kim

Proceedings Volume 3335, (1998) https://doi.org/10.1117/12.312547

KEYWORDS: Convolution, Signal processing, Image processing, Image enhancement, Multimedia, Digital signal processing, Data processing, Video processing, Image filtering, Medical imaging

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Proceedings Article | 26 June 1998 Paper

Quantitative three-dimensional transrectal ultrasound (TRUS) for prostate imaging

Sayan Pathak, Rene Aarnink, Jean de la Rosette, Vikram Chalana, Hessel Wijkstra, David Haynor, Frans Debruyne, Yongmin Kim

Proceedings Volume 3335, (1998) https://doi.org/10.1117/12.312551

KEYWORDS: Prostate, Image segmentation, Ultrasonography, Image processing algorithms and systems, Image processing, Statistical analysis, 3D image processing, Speckle, Prostate cancer, Error analysis

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Proceedings Article | 7 May 1997 Paper

Platform-independent software for medical image processing on the Internet

Michael Mancuso, Sayan Pathak, Yongmin Kim

Proceedings Volume 3031, (1997) https://doi.org/10.1117/12.273970

KEYWORDS: Image processing, Medical imaging, Java, Internet, Image filtering, Image segmentation, Nonlinear filtering, Sun, Image processing software, Software development

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Proceedings Article | 7 May 1997 Paper

Multimedia systems in ultrasound image boundary detection and measurements

Sayan Pathak, Vikram Chalana, Yongmin Kim

Proceedings Volume 3031, (1997) https://doi.org/10.1117/12.273917

KEYWORDS: Ultrasonography, Image processing, Head, Digital signal processing, Detection and tracking algorithms, Signal processing, Multimedia, Algorithm development, Sun, Fetus

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Ultrasound as a medical imaging modality offers the clinician a real-time of the anatomy of the internal organs/tissues, their movement, and flow noninvasively. One of the applications of ultrasound is to monitor fetal growth by measuring biparietal diameter (BPD) and head circumference (HC). We have been working on automatic detection of fetal head boundaries in ultrasound images. These detected boundaries are used to measure BPD and HC. The boundary detection algorithm is based on active contour models and takes 32 seconds on an external high-end workstation, SUN SparcStation 20/71. Our goal has been to make this tool available within an ultrasound machine and at the same time significantly improve its performance utilizing multimedia technology. With the advent of high- performance programmable digital signal processors (DSP), the software solution within an ultrasound machine instead of the traditional hardwired approach or requiring an external computer is now possible. We have integrated our boundary detection algorithm into a programmable ultrasound image processor (PUIP) that fits into a commercial ultrasound machine. The PUIP provides both the high computing power and flexibility needed to support computationally-intensive image processing algorithms within an ultrasound machine. According to our data analysis, BPD/HC measurements made on PUIP lie within the interobserver variability. Hence, the errors in the automated BPD/HC measurements using the algorithm are on the same order as the average interobserver differences. On PUIP, it takes 360 ms to measure the values of BPD/HC on one head image. When processing multiple head images in sequence, it takes 185 ms per image, thus enabling 5.4 BPD/HC measurements per second. Reduction in the overall execution time from 32 seconds to a fraction of a second and making this multimedia system available within an ultrasound machine will help this image processing algorithm and other computer-intensive imaging applications become a practical tool for the sonographers in the feature.

SPIE Journal Paper | 1 June 1996

Efficient implementation of facet models on a multimedia system

Sayan Pathak, Yongmin Kim, Jihong Kim

OE, Vol. 35, Issue 06, (June 1996) https://doi.org/10.1117/12.10.1117/1.600749

KEYWORDS: Digital signal processing, Image processing, Convolution, Edge detection, Affine motion model, Sun, Signal processing, Data processing, Multimedia, Systems modeling

Showing 5 of 22 publications

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