Patents by Inventor Shekhar Dwivedi

Shekhar Dwivedi 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).

  • Patent number: 10386439
    Abstract: A lung segmentation processor (40) is configured to classify magnetic resonance (MR) images based on noise characteristics. The MR segmenatation processor generates a lung region of interest (ROI) and detailed structure segmentation of the lung from the ROI. The MR segmentation processor performs an iterative normalization and region definition approach that captures the entire lung and the soft tissues within the lung accurately. Accuracy of the segmentation relies on artifact classification coming inherently from MR images. The MR segmentation processor (40) correlates segmented lung internal tissue pixels with the lung density to determine the attenuation coefficients based on the correlation. Lung densities are computed using MR data obtained from imaging sequences that minimize echo and acquisition times. The densities differentiate healthy tissues and lesions, which an attenuation map processor (36) uses to create localized attenuation maps for the lung.
    Type: Grant
    Filed: December 10, 2014
    Date of Patent: August 20, 2019
    Assignee: KONINKLIKE PHILIPS N.V.
    Inventors: Yannick Berker, Shekhar Dwivedi, Volkmar Schulz, Lingxiong Shao
  • Publication number: 20190228546
    Abstract: Iterative reconstruction (20) of imaging data is performed to generate a sequence of update images (22) terminating at a reconstructed image. During the iterative reconstruction, at least one of an update image and a parameter of the iterative reconstruction is adjusted using an adjustment process separate from the iterative reconstruction. In some embodiments using an edge-preserving regularization prior (26), the adjustment process (30) adjusts an edge preservation threshold to reduce gradient steepness above which edge preservation applies for later iterations compared with earlier iterations. In some embodiments, the adjustment process includes determining (36, 38) for each pixel, voxel, or region of a current update image whether its evolution prior to the current update image 22) satisfies an artifact feature criterion. A local noise suppression operation (40) is performed on the pixel, voxel, or region if the evolution satisfies the artifact feature criterion and is not performed otherwise.
    Type: Application
    Filed: September 25, 2017
    Publication date: July 25, 2019
    Inventors: Andriy ANDREYEV, Chuanyong BAI, Bin ZHANG, Faguo YANG, Shekhar DWIVEDI, Zhiqiang HU
  • Publication number: 20190139271
    Abstract: A diagnostic imaging system retrieves data (206) from a plurality of accessible data sources, the accessible data sources storing data including physiological data describing a subject to be imaged, a nature of a requested diagnostic image, image preferences of a clinician who requested the diagnostic image, and previously reconstructed images of the requested nature of the subject and/or other subjects, reconstruction parameters and/or sub-routines used to reconstruct the previously reconstructed images. The system analyzes (6, 12) the retrieved data to automatically generate reconstruction parameters and/or sub-steps specific to the nature of the requested diagnostic image, the subject, and the clinician image preferences. The system controls a display device (10, 216) to display the generated reconstruction parameters and/or sub-routines to the user for a user selection.
    Type: Application
    Filed: January 3, 2019
    Publication date: May 9, 2019
    Inventors: Chi-Hua TUNG, Shekhar DWIVEDI, Yang-Ming ZHU, John Patrick COLLINS
  • Patent number: 10275906
    Abstract: A diagnostic imaging system retrieves data (206) from a plurality of accessible data sources, the accessible data sources storing data including physiological data describing a subject to be imaged, a nature of a requested diagnostic image, image preferences of a clinician who requested the diagnostic image, and previously reconstructed images of the requested nature of the subject and/or other subjects, reconstruction parameters and/or sub-routines used to reconstruct the previously reconstructed images. The system analyzes (6, 12) the retrieved data to automatically generate reconstruction parameters and/or sub-steps specific to the nature of the requested diagnostic image, the subject, and the clinician image preferences. The system controls a display device (10, 216) to display the generated reconstruction parameters and/or sub-routines to the user for a user selection.
    Type: Grant
    Filed: July 9, 2015
    Date of Patent: April 30, 2019
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Chi-Hua Tung, Shekhar Dwivedi, Yang-Ming Zhu, John Patrick Collins
  • Patent number: 10083527
    Abstract: An image data processor (106) includes a structural image data processor (114) that employs a multi-structure atlas to segment a region of interest from structural image data that includes tissue of interest and that segments the tissue of interests from the region of interest. The image data processor further includes functional image data processor (116) that identifies the tissue of interest in functional image data based on the segmented tissue of interest. An image data processor includes a multi-structure atlas generator (104) that generates a multi-structure atlas. The multi-structure atlas physically maps structure to tissue of interest such that locate the structure in structural image data based on the multi-structure atlas localizes the tissue of interest to the region of interest.
    Type: Grant
    Filed: April 19, 2017
    Date of Patent: September 25, 2018
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventor: Shekhar Dwivedi
  • Patent number: 10054690
    Abstract: A diagnostic imaging system utilizing a reduced crystal design pattern is utilized to image a subject and collect event data. The reduced crystal design pattern includes filled crystal locations and empty crystal locations. A processor accounts for empty crystal locations by selecting windows that include nearest neighbor filled crystal locations. The nearest neighbor filled crystal locations include event data which is averaged by the processor and assigned to the empty crystal location. A weighted average based on distance or event strength is incorporated.
    Type: Grant
    Filed: December 9, 2015
    Date of Patent: August 21, 2018
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Shekhar Dwivedi, Venudhar Rao Hajari
  • Publication number: 20180003828
    Abstract: A diagnostic imaging system utilizing a reduced crystal design pattern is utilized to image a subject and collect event data. The reduced crystal design pattern includes filled crystal locations and empty crystal locations. A processor accounts for empty crystal locations by selecting windows that include nearest neighbor filled crystal locations. The nearest neighbor filled crystal locations include event data which is averaged by the processor and assigned to the empty crystal location. A weighted average based on distance or event strength is incorporated.
    Type: Application
    Filed: December 9, 2015
    Publication date: January 4, 2018
    Inventors: Shekhar DWIVEDI, Venudhar Rao HAJARI
  • Publication number: 20170287113
    Abstract: PET/MR images are compensated with simplified adaptive algorithms for truncated parts of the body. The compensation adapts to a specific location of truncation of the body or organ in the MR image, and to attributes of the truncation in the truncated body part. Anatomical structures in a PET image that do not require any compensation are masked using a MR image with a smaller field of view. The organs that are not masked are then classified as types of anatomical structures, the orientation of the anatomical structures, and type of truncation. Structure specific algorithms are used to compensate for a truncated anatomical structure. The compensation is validated for correctness and the ROI is filled in where there is missing voxel data. Attenuation maps are generated from the compensated ROI.
    Type: Application
    Filed: October 20, 2015
    Publication date: October 5, 2017
    Inventor: Shekhar DWIVEDI
  • Patent number: 9760988
    Abstract: A cardiac imaging method includes acquiring a projection image representation which includes a myocardium (S100). The myocardium is segmented and a mask is generated (S102). The mask is optimized (S104). A blood pool is determined from the optimized mask (S106) and the mask is skeletonized based on a clusterfication of the myocardial slices (S108). The center of mass is determined (S110) from the blood pool and the skeletonized mask. Myocardial parameters are determined (S112) from the skeletonized mask.
    Type: Grant
    Filed: May 2, 2012
    Date of Patent: September 12, 2017
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventor: Shekhar Dwivedi
  • Publication number: 20170221231
    Abstract: An image data processor (106) includes a structural image data processor (114) that employs a multi-structure atlas to segment a region of interest from structural image data that includes tissue of interest and that segments the tissue of interests from the region of interest. The image data processor further includes functional image data processor (116) that identifies the tissue of interest in functional image data based on the segmented tissue of interest. An image data processor includes a multi-structure atlas generator (104) that generates a multi-structure atlas. The multi-structure atlas physically maps structure to tissue of interest such that locate the structure in structural image data based on the multi-structure atlas localizes the tissue of interest to the region of interest.
    Type: Application
    Filed: April 19, 2017
    Publication date: August 3, 2017
    Inventor: Shekhar DWIVEDI
  • Publication number: 20170206680
    Abstract: A diagnostic imaging system retrieves data (206) from a plurality of accessible data sources, the accessible data sources storing data including physiological data describing a subject to be imaged, a nature of a requested diagnostic image, image preferences of a clinician who requested the diagnostic image, and previously reconstructed images of the requested nature of the subject and/or other subjects, reconstruction parameters and/or sub-routines used to reconstruct the previously reconstructed images. The system analyzes (6, 12) the retrieved data to automatically generate reconstruction parameters and/or sub-steps specific to the nature of the requested diagnostic image, the subject, and the clinician image preferences. The system controls a display device (10, 216) to display the generated reconstruction parameters and/or sub-routines to the user for a user selection.
    Type: Application
    Filed: July 9, 2015
    Publication date: July 20, 2017
    Applicant: KONINKLIJKE PHILIPS N.V.
    Inventors: Chi-Hua TUNG, Shekhar DWIVEDI, Yang-Ming ZHU, John Patrick COLLINS
  • Patent number: 9672614
    Abstract: An image data processor (106) includes a structural image data processor (114) that employs a multi-structure atlas to segment a region of interest from structural image data that includes tissue of interest and that segments the tissue of interests from the region of interest. The image data processor further includes functional image data processor (116) that identifies the tissue of interest in functional image data based on the segmented tissue of interest. An image data processor includes a multi-structure atlas generator (104) that generates a multi-structure atlas. The multi-structure atlas physically maps structure to tissue of interest such that locate the structure in structural image data based on the multi-structure atlas localizes the tissue of interest to the region of interest.
    Type: Grant
    Filed: September 27, 2013
    Date of Patent: June 6, 2017
    Assignee: KONINKLIJIE PHILIPS N.V.
    Inventor: Shekhar Dwivedi
  • Publication number: 20160320466
    Abstract: A lung segmentation processor (40) is configured to classify magnetic resonance (MR) images based on noise characteristics. The MR segmenatation processor generates a lung region of interest (ROI) and detailed structure segmentation of the lung from the ROI. The MR segmentation processor performs an iterative normalization and region definition approach that captures the entire lung and the soft tissues within the lung accurately. Accuracy of the segmentation relies on artifact classification coming inherently from MR images. The MR segmentation processor (40) correlates segmented lung internal tissue pixels with the lung density to determine the attenuation coefficients based on the correlation. Lung densities are computed using MR data obtained from imaging sequences that minimize echo and acquisition times. The densities differentiate healthy tissues and lesions, which an attenuation map processor (36) uses to create localized attenuation maps for the lung.
    Type: Application
    Filed: December 10, 2014
    Publication date: November 3, 2016
    Inventors: Yannick BERKER, Shekhar DWIVEDI, Volkmar SCHULZ, Lingxiong SHAO
  • Publication number: 20150243026
    Abstract: An image data processor (106) includes a structural image data processor (114) that employs a multi-structure atlas to segment a region of interest from structural image data that includes tissue of interest and that segments the tissue of interests from the region of interest. The image data processor further includes functional image data processor (116) that identifies the tissue of interest in functional image data based on the segmented tissue of interest. An image data processor includes a multi-structure atlas generator (104) that generates a multi-structure atlas. The multi-structure atlas physically maps structure to tissue of interest such that locate the structure in structural image data based on the multi-structure atlas localizes the tissue of interest to the region of interest.
    Type: Application
    Filed: September 27, 2013
    Publication date: August 27, 2015
    Inventor: Shekhar Dwivedi
  • Patent number: 9066707
    Abstract: An apparatus comprises: an imaging system (10) configured to acquire emission data from a cyclically varying element; a monitoring instrument (20, 22) configured to measure the cyclical varying of the cyclically varying element; and an electronic device (40) configured to locate an image feature corresponding to the cyclically varying element in the acquired emission data based on correlation of time variation of the emission data with the cyclical varying of the cyclically varying element measured by the monitoring instrument. The located image feature may be verified by: thresholding a projection image generated from the emission data to generate a mask image; identifying in the mask image one of (i) a hollow circular feature, (ii) a hollow oval feature, (iii) a circular cavity feature, and (iv) an oval cavity feature; and verifying the located image feature based on whether the identifying operation is successful.
    Type: Grant
    Filed: July 18, 2011
    Date of Patent: June 30, 2015
    Assignee: Koninklijke Philips N.V.
    Inventors: Shekhar Dwivedi, Xiyun Song, Teimuraz Bandzava, Jinghan Ye, Satrajit Misra
  • Patent number: 8958620
    Abstract: A method for cardiac imaging for determining a myocardial region of interest (ROI) is disclosed. The method includes acquiring functional imaging data of a subject, where the functional imaging data includes at least the myocardium. A ROI encompassing at most the myocardium from the acquired functional imaging data, and diagnostic parameters relating to the myocardium are estimated and quantified based on the determined ROI. In one embodiment, the ROI is determined from a projection image representation utilizing histogram based thresholding and ray casting based localization to determine the extents of the ROI. In another embodiment, the ROI is determined from a volumetric image representation utilizing clustering Manhattan distance based cleaning to determine cardiac angles used for reorienting the left ventricle.
    Type: Grant
    Filed: February 8, 2011
    Date of Patent: February 17, 2015
    Assignee: Koninklijke Philips N.V.
    Inventors: Shekhar Dwivedi, Manish Kumar Sharma, Narayan Ayyakad Krishnan, Yogish Mallya
  • Publication number: 20140081132
    Abstract: A cardiac imaging method includes acquiring a projection image representation which includes a myocardium (S100). The myocardium is segmented and a mask is generated (S102). The mask is optimized (S104). A blood pool is determined from the optimized mask (S106) and the mask is skeletonized based on a clusterfication of the myocardial slices (S108). The center of mass is determined (S110) from the blood pool and the skeletonized mask. Myocardial parameters are determined (S112) from the skeletonized mask.
    Type: Application
    Filed: May 2, 2012
    Publication date: March 20, 2014
    Applicant: KONINKLIJKE PHILIPS N.V.
    Inventor: Shekhar Dwivedi
  • Publication number: 20130208964
    Abstract: A system (100) for processing a medical image, the system comprising an input (110) for receiving the medical image; a processor (120) for obtaining an image characteristic of the medical image; a categorizer (130) for obtaining a category of the medical image in dependence on the image characteristic; and an algorithm selector (140) for configuring a segmentation means (150) by selecting a segmentation algorithm amongst a plurality of segmentation algorithms in dependence on the category, for enabling the segmentation (150) means to segment the medical image with the segmentation algorithm for obtaining a region of interest.
    Type: Application
    Filed: October 17, 2011
    Publication date: August 15, 2013
    Applicant: KONINKLIJKE PHILIPS ELECTRONICS N.V.
    Inventor: Shekhar Dwivedi
  • Publication number: 20130142410
    Abstract: An apparatus comprises: an imaging system (10) configured to acquire emission data from a cyclically varying element; a monitoring instrument (20, 22) configured to measure the cyclical varying of the cyclically varying element; and an electronic device (40) configured to locate an image feature corresponding to the cyclically varying element in the acquired emission data based on correlation of time variation of the emission data with the cyclical varying of the cyclically varying element measured by the monitoring instrument.
    Type: Application
    Filed: July 18, 2011
    Publication date: June 6, 2013
    Applicant: KONINKLIJKE PHILIPS ELECTRONICS N.V.
    Inventors: Shekhar Dwivedi, Xiyun Song, Teimuraz Bandzava, Jinghan Ye, Satrajit Misra
  • Publication number: 20120321153
    Abstract: A method for cardiac imaging for determining a myocardial region of interest (ROI) is disclosed. The method includes acquiring functional imaging data of a subject, where the functional imaging data includes at least the myocardium. A ROI encompassing at most the myocardium from the acquired functional imaging data, and diagnostic parameters relating to the myocardium are estimated and quantified based on the determined ROI. In one embodiment, the ROI is determined from a projection image representation utilizing histogram based thresholding and ray casting based localization to determine the extents of the ROI. In another embodiment, the ROI is determined from a volumetric image representation utilizing clustering Manhattan distance based cleaning to determine cardiac angles used for reorienting the left ventricle.
    Type: Application
    Filed: February 8, 2011
    Publication date: December 20, 2012
    Applicant: KONINKLIJKE PHILIPS ELECTRONICS N.V.
    Inventors: Shekhar Dwivedi, Manish Kumar Sharma, Narayan Ayyakad Krishnan, Yogish Mallya