Patents by Inventor Rishabh Shah
Rishabh Shah 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).
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Patent number: 12354216Abstract: Systems and methods for determining rendering parameters based on authored snapshots or templates. In one aspect, clinically relevant snapshots of patient medical data are created by experts to support educational or clinical workflows. Alternatively, the snapshots are created by automation processes from AI-based organ and disease segmentations. In another aspect, clinically relevant templates are generated. Rendering parameters are derived from the snapshots or templates, stored, and then applied for either rendering new data or interactive viewing of existing data.Type: GrantFiled: September 12, 2022Date of Patent: July 8, 2025Assignee: Siemens Healthineers AGInventors: Kaloian Petkov, Sandra Sudarsky, Rishabh Shah, Christoph Vetter
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Publication number: 20250152251Abstract: In one approach for surgical guidance with compounded ultrasound imaging, a neural field uses both probe tracking and ultrasound imaging to compound the ultrasound data into three-dimensions with alignment of the component fields of view. Accurate compounding is provided, and the compounding may operate in real-time. In another approach for visualization with pre-operative data, modeling (e.g., the neural field) from ultrasound is used to generate a 3D deformation field, which is then applied to the pre-operative data. The 3D deformation field may be applied in rendering rather than to the pre-operative volume dataset. This 3D deformation may be used in real-time, allowing for synchronized 3D ultrasound and 3D pre-operative imaging.Type: ApplicationFiled: August 12, 2024Publication date: May 15, 2025Inventors: Rishabh Shah, Kaloian Petkov
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Publication number: 20240257448Abstract: An exposure value is dynamically adapted for consistent interactive rendering of a volumetric medical dataset. A rendering set of a plurality of rendering types with each rendering type adapted for providing an image dataset derived from the volumetric medical dataset is provided. An image dataset according to a first rendering type using a first exposure value is output. An exposure value for each rendering type within the rendering set is determined based on the first exposure value of the first rendering type and on a consistency requirement for changing rendering types of the image dataset output. Upon receiving a user input for modifying the output of the image dataset, a second rendering type with a second exposure value is selected and output.Type: ApplicationFiled: January 5, 2024Publication date: August 1, 2024Inventors: Rishabh Shah, Kaloian Petkov, Christoph Vetter
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Publication number: 20240233228Abstract: Animations of medical images are rendered. At least one input is received. Each input is a medical image dataset. A set of keyframes associated with the received input is selected. A keyframe is predetermined values of a set of rendering parameters. Intermediary frames are generated in a temporal sequence between two consecutive, according to a temporal ordering, keyframes. Generating the intermediary frames is based on optimizing a perceptual metric associated with the selected set of keyframes and the generated intermediary frames. The perceptual metric is optimized as a function of values of the set of rendering parameters associated with each of the intermediary frames. An animation using the generated intermediary frames and the selected set of keyframes is rendered.Type: ApplicationFiled: December 13, 2023Publication date: July 11, 2024Inventors: Kaloian Petkov, Rishabh Shah
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Patent number: 12002147Abstract: Distance estimation is optimized in virtual or augmented reality. A distance map of a surgical instrument to a region of interest is determined, at least at the beginning and when a position of the surgical instrument has changed. A render-image is rendered based on a medical 3D image and the position of the surgical instrument, at least at the beginning and when the position of the surgical instrument has changed. At least the region of interest and those parts of the surgical instrument positioned in the volume of the render-image are shown in the render-image. Based on the distance map, at least for a predefined area of the region of interest, visible, acoustic, and/or haptic distance-information is added.Type: GrantFiled: April 20, 2022Date of Patent: June 4, 2024Assignee: Siemens Healthineers AGInventors: Christoph Vetter, Kaloian Petkov, Rishabh Shah, Sandra Sudarsky
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Patent number: 11995786Abstract: The present embodiment relates to a renderer and an interactive method for image editing of medical 3D anatomical data. The method includes receiving a dataset with volumetric image data, which have been acquired from an image acquisition modality, and providing a signed distance field data structure of the received dataset. Further, editing operations are received from a user interface for editing at least a part of the provided signed distance field data structure. A visualization of the editing operations is calculated and displayed on a display.Type: GrantFiled: January 6, 2022Date of Patent: May 28, 2024Assignee: Siemens Healthineers AGInventors: Rishabh Shah, Kaloian Petkov, Lev Gretskii, Daphne Yu, Klaus Engel
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Publication number: 20240087218Abstract: Systems and methods for determining rendering parameters based on authored snapshots or templates. In one aspect, clinically relevant snapshots of patient medical data are created by experts to support educational or clinical workflows. Alternatively, the snapshots are created by automation processes from AI-based organ and disease segmentations. In another aspect, clinically relevant templates are generated. Rendering parameters are derived from the snapshots or templates, stored, and then applied for either rendering new data or interactive viewing of existing data.Type: ApplicationFiled: September 12, 2022Publication date: March 14, 2024Inventors: Kaloian Petkov, Sandra Sudarsky, Rishabh Shah, Christoph Vetter
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Publication number: 20230390672Abstract: The present invention provides random multi-component polymers, methods to prepare the random multi-component polymers, methods for removing soluble species or insoluble particles from an aqueous solution, and methods for removing soluble species or insoluble particles from an aqueous solution in the human bodyType: ApplicationFiled: October 15, 2021Publication date: December 7, 2023Inventors: J. Zach Hilt, Thomas Dziubla, Angela Gutierrez, Molly E. Frazar, Rishabh Shah, Shuo Tang, Skyler Hornback
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Patent number: 11810243Abstract: Computer-implemented methods for rendering a volumetric dataset and a surface embedded in the volumetric dataset are described. One method includes performing a volume rendering process to generate a volume rendering of the volume. Based on the volume rendering process, depths of respective locations in the volume rendering are determined, and the depths stored in association with the respective locations. A surface rendering process generates a surface rendering of a surface using the depths and respective locations. The volume rendering and the surface rendering are combined into a combined rendering of the volume and surface. In another method, depths of the surface at respective locations with respect to the volume are determined and the depths are stored in association with the locations. A volume rendering process includes a shading process which uses the depths of the surface and the respective locations.Type: GrantFiled: January 21, 2021Date of Patent: November 7, 2023Assignee: Siemens Healthcare GmbHInventors: Kaloian Petkov, Christoph Vetter, Rishabh Shah
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Publication number: 20230252629Abstract: A layout of labels for annotating a rendered image is optimized. A rendered image is obtained, and locations of a plurality of regions of interest in the rendered image are determined. Semantic information associated with the plurality of regions of interest is obtained. Based on the semantic information and the locations of the plurality of regions of interest, and, taking into account a visibility of the labels and a further visibility of the regions of interest in the rendered image, the layout of the labels for annotating the plurality of regions of interest in the rendered image is determined.Type: ApplicationFiled: January 6, 2023Publication date: August 10, 2023Inventors: Kaloian Petkov, Rishabh Shah
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Publication number: 20220343586Abstract: Distance estimation is optimized in virtual or augmented reality. A distance map of a surgical instrument to a region of interest is determined, at least at the beginning and when a position of the surgical instrument has changed. A render-image is rendered based on a medical 3D image and the position of the surgical instrument, at least at the beginning and when the position of the surgical instrument has changed. At least the region of interest and those parts of the surgical instrument positioned in the volume of the render-image are shown in the render-image. Based on the distance map, at least for a predefined area of the region of interest, visible, acoustic, and/or haptic distance-information is added.Type: ApplicationFiled: April 20, 2022Publication date: October 27, 2022Inventors: Christoph Vetter, Kaloian Petkov, Rishabh Shah, Sandra Sudarsky
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Publication number: 20220230408Abstract: The present embodiment relates to a renderer and an interactive method for image editing of medical 3D anatomical data. The method includes receiving a dataset with volumetric image data, which have been acquired from an image acquisition modality, and providing a signed distance field data structure of the received dataset. Further, editing operations are received from a user interface for editing at least a part of the provided signed distance field data structure. A visualization of the editing operations is calculated and displayed on a display.Type: ApplicationFiled: January 6, 2022Publication date: July 21, 2022Inventors: Rishabh Shah, Kaloian Petkov, Lev Gretskii, Daphne Yu, Klaus Engel
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Publication number: 20210279942Abstract: Computer-implemented methods for rendering a volumetric dataset and a surface embedded in the volumetric dataset are described. One method includes performing a volume rendering process to generate a volume rendering of the volume. Based on the volume rendering process, depths of respective locations in the volume rendering are determined, and the depths stored in association with the respective locations. A surface rendering process generates a surface rendering of a surface using the depths and respective locations. The volume rendering and the surface rendering are combined into a combined rendering of the volume and surface. In another method, depths of the surface at respective locations with respect to the volume are determined and the depths are stored in association with the locations. A volume rendering process includes a shading process which uses the depths of the surface and the respective locations.Type: ApplicationFiled: January 21, 2021Publication date: September 9, 2021Inventors: Kaloian Petkov, Christoph Vetter, Rishabh Shah