Patents by Inventor Sayedmohammadreza Soroushmehr
Sayedmohammadreza Soroushmehr 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: 11615527Abstract: A system for automatically analyzing a video recording of a colonoscopy includes a processor and memory storing instructions, which when executed by the processor, cause the processor to receive the video recording of the colonoscopy performed on the colon and detect informative frames in the video recording. A frame is informative if the clarity of the frame is above a threshold or if the frame includes clinically relevant information about the colon. The instructions cause the processor to generate scores indicating severity levels of a disease for a plurality of the informative frames, estimate locations of the plurality of the informative frames in the colon, and generate an output indicating a distribution of the scores over one or more segments of the colon by combining the scores generated for the plurality of the informative frames and the estimated locations of the plurality of the informative frames in the colon.Type: GrantFiled: May 15, 2020Date of Patent: March 28, 2023Assignee: THE REGENTS OF THE UNIVERSITY OF MICHIGANInventors: Kayvan Najarian, Heming Yao, Sayedmohammadreza Soroushmehr, Jonathan Gryak, Ryan W. Stidham
-
Publication number: 20210022631Abstract: A method of determining a diameter of a sheath of an optic nerve includes obtaining, by a processor, scan data representative of the optic nerve sheath, analyzing, by the processor, the scan data to find a position of a globe-optic nerve interface point, segmenting, by the processor, the scan data, processing, by the processor, the segmented scan data at an offset from the position of the globe-optic nerve interface point to determine boundary positions of the optic nerve sheath, and calculating, by the processor, the diameter of the optic nerve sheath based on the determined boundary positions.Type: ApplicationFiled: August 28, 2019Publication date: January 28, 2021Inventors: Sayedmohammadreza Soroushmehr, Kayvan Najarian, Venkatakrishna Rajajee, Kevin Ward, Jonathan Gryak, Craig A. Williamson, Mohamad H. Tiba
-
Publication number: 20200364859Abstract: A system for automatically analyzing a video recording of a colonoscopy includes a processor and memory storing instructions, which when executed by the processor, cause the processor to receive the video recording of the colonoscopy performed on the colon and detect informative frames in the video recording. A frame is informative if the clarity of the frame is above a threshold or if the frame includes clinically relevant information about the colon. The instructions cause the processor to generate scores indicating severity levels of a disease for a plurality of the informative frames, estimate locations of the plurality of the informative frames in the colon, and generate an output indicating a distribution of the scores over one or more segments of the colon by combining the scores generated for the plurality of the informative frames and the estimated locations of the plurality of the informative frames in the colon.Type: ApplicationFiled: May 15, 2020Publication date: November 19, 2020Inventors: Kayvan NAJARIAN, Heming YAO, Sayedmohammadreza SOROUSHMEHR, Jonathan GRYAK, Ryan W. STIDHAM
-
Patent number: 10650667Abstract: Implementations of a system for determining the relevancy of a plurality of alarms may include: a plurality of sensors configured to be coupled to a patient, wherein the plurality of sensors is configured to gather physiological data, a medical monitoring device coupled to the plurality of sensors through a telecommunication channel, and wherein the medical monitoring device is configured to determine a physiological state of the patient using the physiological data. The medical monitoring device may be further configured to issue a plurality of alarm states, and a processing unit coupled to the medical monitoring device through a telecommunication channel, is then configured to evaluate the plurality of alarm states, determine the relevancy of each alarm state of the plurality of alarm states, and issue one or more alarms corresponding with each relevant alarm state to a computing device associated with a user.Type: GrantFiled: November 19, 2018Date of Patent: May 12, 2020Assignees: Arizona Board of Regents acting for and on behalf of Northern Arizona University, The Regents of the University of MichiganInventors: Fatemeh Afghah, Abolfazl Razi, Kayvan Najarian, Sayedmohammadreza Soroushmehr
-
Patent number: 9962124Abstract: A system analyzes angiogram image data, including video data, in order to extract vasculature information. Advanced image processing and machine learning techniques are used in pre-processing, frame selection, and vasculature segmentation to remove classes of artifacts from angiogram videos, and specifically from frames selected as having a sufficient amount of image data. From segmentation, accurate vasculature diameters are calculated, and, in some examples, stenoses and/or the extent of stenosis is automatically determined and displayed.Type: GrantFiled: November 18, 2016Date of Patent: May 8, 2018Assignee: THE REGENTS OF THE UNIVERSITY OF MICHIGANInventors: Kayvan Najarian, Sayedmohammadreza Soroushmehr, Kevin R. Ward, Brahmajee K. Nallamothu
-
Patent number: 9942468Abstract: Technologies are generally described for automatically optimizing an efficiency of camera placement, numbers, and resolution in multi-camera monitoring and surveillance applications. In some examples, a fraction of a total area may be monitored at a higher resolution than the rest. Employing techniques such as combinatorial state Viterbi technique or combinatorial state trellis technique, a minimum number of cameras that provide the coverage at the needed resolution may be selected. Similarly, a number of points may be covered with at least a predefined number of cameras. For example, a subject of interest may be tracked in a public area, where specific camera(s) may be used to image the subject's face at a higher resolution than the background.Type: GrantFiled: February 1, 2017Date of Patent: April 10, 2018Assignee: McMaster UniversityInventors: Shahram Shirani, Shadrokh Samavi, Sayedmohammadreza Soroushmehr, Hamed Sadeghi
-
Publication number: 20170148158Abstract: A system analyzes angiogram image data, including video data, in order to extract vasculature information. Advanced image processing and machine learning techniques are used in pre-processing, frame selection, and vasculature segmentation to remove classes of artifacts from angiogram videos, and specifically from frames selected as having a sufficient amount of image data. From segmentation, accurate vasculature diameters are calculated, and, in some examples, stenoses and/or the extent of stenosis is automatically determined and displayed.Type: ApplicationFiled: November 18, 2016Publication date: May 25, 2017Inventors: Kayvan Najarian, Sayedmohammadreza Soroushmehr, Kevin R. Ward, Brahmajee K. Nallamothu
-
Publication number: 20170150036Abstract: Technologies are generally described for automatically optimizing an efficiency of camera placement, numbers, and resolution in multi-camera monitoring and surveillance applications. In some examples, a fraction of a total area may be monitored at a higher resolution than the rest. Employing techniques such as combinatorial state Viterbi technique or combinatorial state trellis technique, a minimum number of cameras that provide the coverage at the needed resolution may be selected. Similarly, a number of points may be covered with at least a predefined number of cameras. For example, a subject of interest may be tracked in a public area, where specific camera(s) may be used to image the subject's face at a higher resolution than the background.Type: ApplicationFiled: February 1, 2017Publication date: May 25, 2017Applicant: McMaster UniversityInventors: Shahram Shirani, Shadrokh Samavi, Sayedmohammadreza Soroushmehr, Hamed Sadeghi
-
Patent number: 9591272Abstract: Technologies are generally described for automatically optimizing an efficiency of camera placement, numbers, and resolution in multi-camera monitoring and surveillance applications. In some examples, a fraction of a total area may be monitored at a higher resolution than the rest. Employing techniques such as combinatorial state Viterbi technique or combinatorial state trellis technique, a minimum number of cameras that provide the coverage at the needed resolution may be selected. Similarly, a number of points may be covered with at least a predefined number of cameras. For example, a subject of interest may be tracked in a public area, where specific camera(s) may be used to image the subject's face at a higher resolution than the background.Type: GrantFiled: March 28, 2013Date of Patent: March 7, 2017Assignee: McMASTER UNIVERSITYInventors: Shahram Shirani, Shadrokh Samavi, Sayedmohammadreza Soroushmehr, Hamed Sadeghi
-
Publication number: 20140055621Abstract: Technologies are generally described for automatically optimizing an efficiency of camera placement, numbers, and resolution in multi-camera monitoring and surveillance applications. In some examples, a fraction of a total area may be monitored at a higher resolution than the rest. Employing techniques such as combinatorial state Viterbi technique or combinatorial state trellis technique, a minimum number of cameras that provide the coverage at the needed resolution may be selected. Similarly, a number of points may be covered with at least a predefined number of cameras. For example, a subject of interest may be tracked in a public area, where specific camera(s) may be used to image the subject's face at a higher resolution than the background.Type: ApplicationFiled: March 28, 2013Publication date: February 27, 2014Applicant: McMaster UniversityInventors: Shahram Shirani, Shadrokh Samavi, Sayedmohammadreza Soroushmehr, Hamed Sadeghi