Uih America
Principal Expert
Medical Devices
Consultant
Siemens Healthcare Nov 2006 - May 2013
Scientist and Collaboration Manager, Strategy, Innovation and Clinical Collaboration Group
Siemens Technology India Jul 1997 - Oct 2006
Developer and Technician Lead and Engineering Manager
Center For Artificial Intelligence and Robotics Sep 1995 - Jul 1997
Scientist
Education:
Stanford University 2012 - 2013
Indian Institute of Technology, Kharagpur 1992 - 1995
Doctorates, Doctor of Philosophy
Indian Institute of Technology, Kharagpur 1990 - 1991
Masters, Master of Technology
Indian Institute of Technology, Kharagpur 1986 - 1990
Bachelors, Bachelor of Technology
Skills:
Medical Device Product Development Medical Imaging Object Oriented Design Gpgpu Matlab C++ Team Leadership Supplier Management Clinical Collaboration Image Processing 3D Visualization Algorithms Dicom Medical Devices C Software Engineering Software Development Imaging Clearcase Mfc Software Project Management Product Management Systems Engineering Requirements Analysis Optimization Visual C++ Uml Programming Engineering Management Software Design R&D Technical Leadership Testing Data Mining Product Development Cross Functional Team Leadership Distributed Systems Digital Imaging Image Reconstruction Computer Vision Simulations Machine Learning
Supratik Bose - Walnut Creek CA, US Himanshu P. Shukla - Lafayette CA, US
Assignee:
Siemens Medical Solutions USA, Inc. - Malvern PA
International Classification:
A61N 5/10 G21K 5/08
US Classification:
378 65, 378 68
Abstract:
In some embodiments, a method includes receiving, in a processor, information indicative of (i) a treatment plan defining planned treatment beams, (ii) a patient volume relative to a reference, (iii) ideal intersections of the planned treatment beams with the patient volume at the time the patient is to be treated, (iv) any constraints that prevent achievement of the recommended repositioning using only the patient support, (v) an allowable change to a gantry position from a planned value and an allowable change to a collimator position from a planned value; defining, in the processor, a plurality of alternatives based at least in part on the information indicative of any constraints of the patient support and the information indicative of allowable movement of the gantry and collimator, each alternative defining a modified patient support position and modified beams, each modified beam being based at least in part on a respective one of the planned treatment beams, the change to the position of the gantry for the respective planned treatment beam and the change to the position of the collimator for the respective planned treatment beam; determining, in the processor, for each modified beam of each alternative, an intersection of the patient volume and the modified beam, with the patient volume positioned on the patient support and the patient support having the modified patient support position defined by the alternative; and defining, in the processor, for each alternative, a measure of difference between the ideal intersections and the intersections for the modified beams of the alternative.
Ajay Paidi - Pleasant Hill CA, US Jonathan S. Maltz - Oakland CA, US Supratik Bose - Walnut Creek CA, US
Assignee:
Siemens Medical Solutions USA, Inc. - Malvern PA
International Classification:
G01D 18/00
US Classification:
378207
Abstract:
Some embodiments include determination of a first projection image of a phantom based on first imaging geometry parameters associated with a first radiation-based imaging system and on a virtual model of the phantom, acquisition of a second projection image of the phantom based on radiation emitted from the first radiation-based imaging system, the phantom located at a first position and determination of a difference between the first projection image and the second projection image. Second imaging geometry parameters are determined based on the first imaging geometry parameters and the difference between the first projection image and the second projection image, a third projection image of the phantom is determined based on the second imaging geometry parameters and on the virtual model of the phantom, and a fourth projection image of the phantom located at the first position is acquired based on radiation emitted from the first radiation-based imaging system. A difference between the third projection image and the fourth projection image is determined and it is determined that the difference between the third projection image and the fourth projection image is less than a threshold.
Characterization Of Source Trajectory For Radiotherapy
Supratik Bose - Walnut Creek CA, US Himanshu P. Shukla - Lafayette CA, US
Assignee:
Siemens Medical Solutions USA, Inc. - Malvern PA
International Classification:
G06K 9/00 H01J 35/00 H05G 1/28
US Classification:
382132, 378132, 378163, 378164
Abstract:
Some embodiments include obtaining a projection image of a plurality of fiducials associated with a coordinate system irradiated by a radiotherapy radiation source at a plurality of discrete locations on a trajectory path model, determination of a projection matrix from projection images of the fiducials irradiated by the radiotherapy radiation source at each of the discrete locations, determination of the actual coordinate of the radiotherapy radiation source in the coordinate system associated with the fiducials at the plurality of discrete locations based on the determined projection matrices, and correlating the trajectory path model of the radiotherapy radiation source to the determined actual position of the radiotherapy radiation source at the discrete locations.
Method For Reconstructing An Object Subject To A Cone Beam Using A Graphic Processor Unit (Gpu)
Thomas Schiwietz - Munchen, DE Supratik Bose - Concord CA, US
Assignee:
SIEMENS CORPORATE RESEARCH, INC. - Princeton NJ
International Classification:
G06T 11/20
US Classification:
345442000
Abstract:
A method for reconstructing an object subject to cone beam passing through the object and generating projection images of the object using a graphic processing unit (GPU). The method applies a non-linear curvature-based smoothing filter to the projection images. The method applies a high-pass filter to the curvature-smoothed images. The method backprojects the projection images into an output volume using voxel driven backprojection. The method removes cupping artifacts from the output volume convolving every slice with a Butterworth kernel and adding the result to the slice weighted by a scaling factor.
Jonathan S. Maltz - Oakland CA, US Supratik Bose - Walnut Creek CA, US Ali Bani-Hashemi - Walnut Creek CA, US Ajay Paidi - Walnut Creek CA, US
Assignee:
SIEMENS MEDICAL SOLUTIONS USA, INC. - Malvern PA
International Classification:
A61B 6/03
US Classification:
378 4
Abstract:
A system includes acquisition of a three-dimensional computed tomography image of a patient volume at a computed tomography scanner, acquisition of projection images of the patient volume located at an isocenter of a linear accelerator, and determination of a transformation between a coordinate system of the linear accelerator and a coordinate system of the three-dimensional computed tomography image based on the projection images.
Quantitative Two-Dimensional Fluoroscopy Via Computed Tomography
Himanshu P. Shukla - Lafayette CA, US Supratik Bose - San Ramon CA, US
Assignee:
Siemens Medical Solutions USA, Inc. - Malvem PA
International Classification:
A61B 6/03
US Classification:
378 6
Abstract:
A system includes obtaining of a reference projection image of a target volume at an isocenter of a computed tomography scanner; obtaining of a plurality of two-dimensional fluoroscopic images by the computed tomography scanner of at least a portion of the target volume at the isocenter of the computed tomography scanner; displaying the reference projection image and the plurality of two-dimensional fluoroscopic images in a combined view; measuring a two-dimensional contour of a projection of a movement of the target volume in the combined view; and determining a true contour of the movement in a plane containing a point-of-interest within the target volume based on the two-dimensional contour of the projection of the movement.
- Shanghai, CN Supratik BOSE - Walnut Creek CA, US
Assignee:
SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD. - Shanghai
International Classification:
A61N 5/10 A61B 6/04 A61B 6/03 A61B 6/00
Abstract:
System for treatment positioning is provided. The system may include a treatment component, an imaging component, and a couch. The treatment component may include a radiation source that has a radiation isocenter. The couch may be movable between the treatment component and the imaging component, and include a positioning line that has a positioning feature. The system may acquire at least one first image relating to a subject and the positioning line using the radiation source at a set-up position. The system may also acquire at least one second image relating to the subject and the positioning line using the imaging component at an imaging position. The system may further determine a treatment isocenter of a target of the subject based on the at least one second image, and determine a treatment position of the subject based on the first image(s), the second image(s), and the positioning line.
- Shanghai, CN Johannes STAHL - Concord CA, US Supratik BOSE - Concord CA, US Jonathan MALTZ - Concord CA, US
Assignee:
SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD. - Shanghai
International Classification:
A61B 6/00 G01N 23/046 G06T 11/00
Abstract:
A system includes determination of a first sub-matrix of a projection matrix which describes a geometrical relationship between points of a three-dimensional coordinate system of the imaging system and points of a two-dimensional coordinate system of an image detector, determination of a second sub-matrix of the projection matrix, where the first and second sub-matrixes comprise a decomposition of the projection matrix, conversion of a first point of the two-dimensional coordinate system to a first point of the three-dimensional coordinate system based on the first and second sub-matrixes, determination of an updated first sub-matrix of an updated projection matrix, where the updated projection matrix describes a second geometrical relationship between points of the three-dimensional coordinate system and points of the two-dimensional coordinate system, and conversion of a second point of the two-dimensional coordinate system to a second point of the three-dimensional coordinate system based on the updated first and second sub-matrixes.