Jasjit S. Suri - Roseville CA, US Dinesh Kumar - Grass Valley CA, US Yujun Guo - Grass Valley CA, US
International Classification:
A61B 8/00 A61B 10/02
US Classification:
600437, 600562
Abstract:
Provided herein are improved biopsy systems and methods (i.e., utilities), which among other benefits, assist physicians with the selection biopsy sites based on temporally distinct images. More generally, the utilities allow for registering medical images such that information associated with a medical image obtained at a first time may be mapped to a subsequent medical image obtained at a subsequent time. This may result in improved diagnosis, better planning, better treatment delivery and/or follow-up.
Jasjit S. Suri - Roseville CA, US Dinesh Kumar - Grass Valley CA, US Yujun Guo - Grass Valley CA, US Ramkrishnan Narayanan - Nevada City CA, US
International Classification:
A61B 10/02 A61B 8/13
US Classification:
600443, 128898, 600562
Abstract:
Guided biopsy is a commonly used method to remove suspicious tissues from an internal organ for pathological tests so that malignancy can be established. Provided herein are systems and methods (i.e., utilities) that allow for automated application of one or more predefined biopsy target plans to an acquired medical image including without limitation, an ultrasound prostate image. Due to different shapes and sizes of prostates as well as orientation of prostate with respect to an ultrasound probe during image, acquisition a simple prostate model (e.g., ellipse) with a fixed plan may not be sufficient. Accordingly, it has been determined that a deformable shape model with integrated biopsy target locations/sites may be fit to a prostate image to provide improved automated biopsy targeting.
Jasjit S. Suri - Westminster CO, US Roman Janer - Englewood CO, US Yujun Guo - Kent OH, US Edris A. Elbakri - Northglenn CO, US
International Classification:
G06K 9/00
US Classification:
382131, 382294, 382284
Abstract:
A method includes acquiring first imaging information of a region of interest, said first imaging information providing data correlated to three spatial dimensions of a reference frame including said region of interest; acquiring second projection imaging information of said region of interest, said second imaging information providing data correlated to said reference frame but is lacking information concerning at least one spatial dimension; and processing said first and second imaging information such that said first imaging information is registered with said second imaging information. An apparatus includes a first imaging system for acquiring imaging information of a region of interest, said first imaging information providing data correlated to three spatial dimensions of a reference frame including said region of interest; a second imaging system for acquiring second imaging information of said region of interest, said second imaging information providing data correlated to said reference frame but is lacking information concerning at least one spatial dimension; and a processor for processing said first and second imaging information such that said first imaging information is registered with said second imaging information.
RAMKRISHNAN NARAYANAN - NEVADA CITY CA, US YUJUN GUO - GRASS VALLEY CA, US JASJIT S. SURI - ROSEVILLE CA, US
Assignee:
EIGEN, LLC - Grass Valley CA
International Classification:
G06K 9/00 G06T 15/00
US Classification:
382131, 345419
Abstract:
A method and apparatus are disclosed for performing software guided prostate biopsy to extract cancerous tissue. The method significantly improves on the current system by accelerating all computations using a graphical processing unit (GPU) keeping the accuracy of biopsy target locations within tolerance. The result is the computation of target locations to guide biopsy using statistical priors of cancers from a large population, as well as based on previous biopsy locations for the same patient, and finally via mapping protocols with predefined needle configurations onto the patient's current ultrasound image.
Patterson Dental - Chatsworth, CA since Sep 2010
Software Engineer
Education:
Kent State University 2000 - 2006
Beijing Jiaotong University 1993 - 1996
Skills:
Image Processing Algorithms Computer Vision Medical Imaging C++ Software Development Algorithm Design Matlab Image Segmentation C Javascript 3D Visualization C# Java Signal Processing Integration Software Engineering Medical Devices Software Design