Patents by Inventor Vivek Kumar Singh

Vivek Kumar Singh has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20170100089
    Abstract: A method and apparatus for X-ray tube scanner automation using a 3D camera is disclosed. An RGBD image of a patient on a patient table is received from a 3D camera mounted on an X-ray tube. A transformation between a coordinate system of the 3D camera and a coordinate system of the patient table is calculated. A patient model is estimated from the RGBD image of the patient. The X-ray tube is automatically controlled to acquire an X-ray image of a region of interest of the patient based on the patient model.
    Type: Application
    Filed: October 13, 2015
    Publication date: April 13, 2017
    Inventors: Yao-Jen Chang, Vivek Kumar Singh, Kai Ma, Ralf Nanke, Susanne Dornberger, Terrence Chen
  • Publication number: 20170091940
    Abstract: A computer-implemented method for automatically calibrating an RGB-D sensor and an imaging device using a transformation matrix includes using a medical image scanner to acquire a first dataset representative of an apparatus attached to a downward facing surface of a patient table, wherein corners of the apparatus are located at a plurality of corner locations. The plurality of corner locations are identified based on the first dataset and the RGB-D sensor is used to acquire a second dataset representative of a plurality of calibration markers displayed on an upward facing surface of the patient table at the corner locations. A plurality of calibration marker locations are identified based on the second dataset and the transformation matrix is generated by aligning the first dataset and the second dataset using the plurality of corner locations and the plurality of calibration marker locations.
    Type: Application
    Filed: September 25, 2015
    Publication date: March 30, 2017
    Inventors: Kai Ma, Yao-jen Chang, Vivek Kumar Singh, Thomas O'Donnell, Michael Wels, Tobias Betz, Andreas Wimmer, Terrence Chen
  • Publication number: 20170091939
    Abstract: A computer-implemented method for providing a see-through visualization of a patient includes receiving an image dataset representative of anatomical features of the patient acquired using a medical image scanner and acquiring a body surface model of the patient using an RGB-D sensor. The body surface model is aligned with the image dataset in a canonical/common coordinate system to yield an aligned body surface model. A relative pose of a mobile device is determined with respect to the RGB-D sensor and a pose dependent visualization of the patient is created by rendering the image dataset at a viewpoint corresponding to the relative pose of the mobile device. Then, the pose dependent visualization of the patient may be presented on the mobile device.
    Type: Application
    Filed: September 25, 2015
    Publication date: March 30, 2017
    Inventors: Stefan Kluckner, Vivek Kumar Singh, Kai Ma, Yao-Jen Chang, Terrence Chen, Daphne Yu, John Paulus, JR.
  • Patent number: 9538925
    Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
    Type: Grant
    Filed: April 13, 2015
    Date of Patent: January 10, 2017
    Assignee: Siemens Healthcare GmbH
    Inventors: Puneet Sharma, Ali Kamen, Bogdan Georgescu, Frank Sauer, Dorin Comaniciu, Yefeng Zheng, Hien Nguyen, Vivek Kumar Singh
  • Patent number: 9524582
    Abstract: A method and apparatus for generating a 3D personalized mesh of a person from a depth camera image for medical imaging scan planning is disclosed. A depth camera image of a subject is converted to a 3D point cloud. A plurality of anatomical landmarks are detected in the 3D point cloud. A 3D avatar mesh is initialized by aligning a template mesh to the 3D point cloud based on the detected anatomical landmarks. A personalized 3D avatar mesh of the subject is generated by optimizing the 3D avatar mesh using a trained parametric deformable model (PDM). The optimization is subject to constraints that take into account clothing worn by the subject and the presence of a table on which the subject in lying.
    Type: Grant
    Filed: January 26, 2015
    Date of Patent: December 20, 2016
    Assignee: Siemens Healthcare GmbH
    Inventors: Kai Ma, Terrence Chen, Vivek Kumar Singh, Yao-jen Chang, Michael Wels, Grzegorz Soza
  • Publication number: 20160328643
    Abstract: A method and system for approximating a deep neural network for anatomical object detection is discloses. A deep neural network is trained to detect an anatomical object in medical images. An approximation of the trained deep neural network is calculated that reduces the computational complexity of the trained deep neural network. The anatomical object is detected in an input medical image of a patient using the approximation of the trained deep neural network.
    Type: Application
    Filed: May 7, 2015
    Publication date: November 10, 2016
    Inventors: David Liu, Nathan Lay, Shaohua Kevin Zhou, Jan Kretschmer, Hien Nguyen, Vivek Kumar Singh, Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu
  • Publication number: 20160306924
    Abstract: A method for estimating a body surface model of a patient includes: (a) segmenting, by a computer processor, three-dimensional sensor image data to isolate patient data from environmental data; (b) categorizing, by the computer processor, a body pose of the patient from the patient data using a first trained classifier; (c) parsing, by the computer processor, the patient data to an anatomical feature of the patient using a second trained classifier, wherein the parsing is based on a result of the categorizing; and (d) estimating, by the computer processor, the body surface model of the patient based on a result of the parsing. Systems for estimating a body surface model of a patient are described.
    Type: Application
    Filed: January 27, 2015
    Publication date: October 20, 2016
    Inventors: Vivek Kumar Singh, Yao-jen Chang, Kai Ma, Terrence Chen, Michael Wels, Grzegorz Soza
  • Publication number: 20160174902
    Abstract: A method and system for anatomical object detection using marginal space deep neural networks is disclosed. The pose parameter space for an anatomical object is divided into a series of marginal search spaces with increasing dimensionality. A respective sparse deep neural network is trained for each of the marginal search spaces, resulting in a series of trained sparse deep neural networks. Each of the trained sparse deep neural networks is trained by injecting sparsity into a deep neural network by removing filter weights of the deep neural network.
    Type: Application
    Filed: February 26, 2016
    Publication date: June 23, 2016
    Inventors: Bogdan Georgescu, Yefeng Zheng, Hien Hguyen, Vivek Kumar Singh, Dorin Comaniciu, David Liu
  • Publication number: 20160106321
    Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
    Type: Application
    Filed: April 13, 2015
    Publication date: April 21, 2016
    Inventors: Puneet Sharma, Ali Kamen, Bogdan Georgescu, Frank Sauer, Dorin Comaniciu, Yefeng Zheng, Hien Nguyen, Vivek Kumar Singh
  • Publication number: 20160048741
    Abstract: Object detection uses a deep or multiple layer network to learn features for detecting the object in the image. Multiple features from different layers are aggregated to train a classifier for the object. In addition or as an alternative to feature aggregation from different layers, an initial layer may have separate learnt nodes for different regions of the image to reduce the number of free parameters. The object detection is learned or a learned object detector is applied.
    Type: Application
    Filed: August 12, 2014
    Publication date: February 18, 2016
    Inventors: Hien Nguyen, Vivek Kumar Singh, Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu, Shaohua Kevin Zhou
  • Publication number: 20150238148
    Abstract: A method and system for anatomical object detection using marginal space deep neural networks is disclosed. The pose parameter space for an anatomical object is divided into a series of marginal search spaces with increasing dimensionality. A respective deep neural network is trained for each of the marginal search spaces, resulting in a series of trained deep neural networks. Each of the trained deep neural networks can evaluate hypotheses in a current parameter space using discriminative classification or a regression function. An anatomical object is detected in a medical image by sequentially applying the series of trained deep neural networks to the medical image.
    Type: Application
    Filed: May 12, 2015
    Publication date: August 27, 2015
    Inventors: Bogdan Georgescu, Yefeng Zheng, Hien Nguyen, Vivek Kumar Singh, Dorin Comaniciu, David Liu
  • Publication number: 20150227792
    Abstract: Object detection includes providing an image and determining at least one feature point. The at least one feature point defines a location of an image patch used for determining a feature descriptor, and the image patch defines an image area of the image. The feature descriptor is generated based on respective image intensities of a number of respective pairs of pixels with two dimensional coordinates located inside the image patch. An n-th component of the feature descriptor for an n-th pair of pixels is derived. A threshold is set depending on the number. The feature descriptor is generated by an arrangement of the M components. An indication signal is generated for a detected object when the feature descriptor is within a predefined distance to a reference feature descriptor.
    Type: Application
    Filed: February 10, 2014
    Publication date: August 13, 2015
    Inventors: Peter Amon, Jan Ernst, Andreas Hutter, Johannes Rehm, Vivek Kumar Singh
  • Publication number: 20150213646
    Abstract: A method and apparatus for generating a 3D personalized mesh of a person from a depth camera image for medical imaging scan planning is disclosed. A depth camera image of a subject is converted to a 3D point cloud. A plurality of anatomical landmarks are detected in the 3D point cloud. A 3D avatar mesh is initialized by aligning a template mesh to the 3D point cloud based on the detected anatomical landmarks. A personalized 3D avatar mesh of the subject is generated by optimizing the 3D avatar mesh using a trained parametric deformable model (PDM). The optimization is subject to constraints that take into account clothing worn by the subject and the presence of a table on which the subject in lying.
    Type: Application
    Filed: January 26, 2015
    Publication date: July 30, 2015
    Inventors: Kai Ma, Terrence Chen, Vivek Kumar Singh, Yao-jen Chang, Michael Wels, Grzegorz Soza
  • Patent number: 9082452
    Abstract: A method for viewing a collection of images or videos, includes analyzing the collection to determine properties of the images or videos and using the determined properties to produce icons corresponding to such properties; providing a time-varying display of the images or videos in the collection following an ordering of the images or videos in the collection and at least one of the corresponding icons; receiving a user selection of an icon; and changing the display of the images or videos in the collection following a reordering of the images or videos in the collection in response to the user selection.
    Type: Grant
    Filed: February 21, 2011
    Date of Patent: July 14, 2015
    Assignee: Kodak Alaris Inc.
    Inventors: Jiebo Lou, Dhiraj Joshi, Peter O. Stubler, Madirakshi Das, Phoury Lei, Vivek Kumar Singh
  • Publication number: 20150112182
    Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
    Type: Application
    Filed: October 16, 2014
    Publication date: April 23, 2015
    Inventors: Puneet Sharma, Ali Kamen, Bogdan Georgescu, Frank Sauer, Dorin Comaniciu, Yefeng Zheng, Hien Nguyen, Vivek Kumar Singh
  • Patent number: 8879890
    Abstract: A method for viewing a collection of images or videos, includes analyzing the collection to determine properties of the images or videos and using the determined properties to produce icons corresponding to such properties; providing a time-varying display of the images or videos in the collection following an ordering of the images or videos in the collection and at least one of the corresponding icons; receiving a user selection of an icon; changing the time-varying display of the images or videos in the collection following a reordering of the images or videos in the collection in response to the user selection; storing the sequence of the user selections and associated timing in a script in a processor accessible memory; and playing back the viewing of the collection of images or videos using the script.
    Type: Grant
    Filed: February 21, 2011
    Date of Patent: November 4, 2014
    Assignee: Kodak Alaris Inc.
    Inventors: Jiebo Luo, Dhiraj Joshi, Peter O. Stubler, Madirakshi Das, Phoury Lei, Vivek Kumar Singh
  • Publication number: 20130343642
    Abstract: Automated person re-identification may be assisted by consideration of attributes of the person in a joint classification with matching of the person. By both solving for similarities in a plurality of attributes and identities, discriminative interactions may be captured. Automated person re-identification may be assisted by consideration of a semantic color name. Rather than a color histogram, probability distributions are mapped to color terms of the semantic color name. Using other descriptors as well, similarity measures for the various descriptors are weighted and combined into a score. Either or both considerations may be used.
    Type: Application
    Filed: June 10, 2013
    Publication date: December 26, 2013
    Applicant: SIEMENS CORPORATION
    Inventors: Cheng-Hao Kuo, Vinay Damodar Shet, Sameh Khamis, Larry Davis, Vivek Kumar Singh
  • Publication number: 20120213497
    Abstract: A method for viewing a collection of images or videos, includes analyzing the collection to determine properties of the images or videos and using the determined properties to produce icons corresponding to such properties; providing a time-varying display of the images or videos in the collection following an ordering of the images or videos in the collection and at least one of the corresponding icons; receiving a user selection of an icon; and changing the display of the images or videos in the collection following a reordering of the images or videos in the collection in response to the user selection.
    Type: Application
    Filed: February 21, 2011
    Publication date: August 23, 2012
    Inventors: Jiebo Lou, Dhiraj Joshi, Peter O. Stubler, Madirakshi Das, Phoury Lei, Vivek Kumar Singh
  • Publication number: 20120213493
    Abstract: A method for viewing a collection of images or videos, includes analyzing the collection to determine properties of the images or videos and using the determined properties to produce icons corresponding to such properties; providing a time-varying display of the images or videos in the collection following an ordering of the images or videos in the collection and at least one of the corresponding icons; receiving a user selection of an icon; changing the time-varying display of the images or videos in the collection following a reordering of the images or videos in the collection in response to the user selection; storing the sequence of the user selections and associated timing in a script in a processor accessible memory; and playing back the viewing of the collection of images or videos using the script.
    Type: Application
    Filed: February 21, 2011
    Publication date: August 23, 2012
    Inventors: Jiebo Luo, Dhiraj Joshi, Peter O. Stubler, Madirakshi Das, Phoury Lei, Vivek Kumar Singh
  • Publication number: 20110040488
    Abstract: The present invention relates to a system and a method for analysis of a DNA sequence by converting the DNA sequence into a unique number string using a genomic number system in order to extract and/or analyze biological information. The invention is particularly useful in the development of new drugs or active chemical agents.
    Type: Application
    Filed: April 8, 2010
    Publication date: February 17, 2011
    Applicant: MASCON GLOBAL LIMITED
    Inventors: Vivek Kumar Singh, Vivek Gangadhar Mahale, Avinash Purshottam Agnihotry