公开(公告)号：US11967079B1

公开(公告)日：2024-04-23

申请号：US18379194

申请日：2023-10-12

Applicant: Qure.ai Technologies Private Limited

Inventor： Shubham Kumar ,  Arjun Agarwal ,  Satish Kumar Golla ,  Swetha Tanamala ,  Preetham Putha ,  Sasank Chilamkurthy ,  Prashant Warier

IPC: G06T7/00 ,  G06T5/50 ,  G06T7/11 ,  G06V10/25 ,  G06V10/764

CPC classification number: G06T7/0012 ,  G06T5/50 ,  G06T7/11 ,  G06V10/25 ,  G06V10/764 ,  G06T2207/10081 ,  G06T2207/20084 ,  G06T2207/20221 ,  G06T2207/30016 ,  G06T2207/30101

Abstract: The present subject matter discloses a system and method for detecting Large Vessel Occlusion (LVO) on a Computational Tomography Angiogram (CTA) automatically. the system comprises a vascular-territory-segmentation module, an ICV segmentation module, MCA-LVO classifier and ICA-LVO classifier. The vascular territory segmentation module is configured to receive a set of CTA images and to mark a territory of vascular segments in the ICV region for each slice of the ROI. The ICV segmentation module is configured to process each slice of the ROI. The processed slices of the ROI are combined to develop a CTA image after application of MIP and the developed CTA image is segmented into a Middle Cerebral Artery (MCA) region and an Internal Cerebral Artery (ICA) region. The MCA-LVO and ICA-LVO classifiers determine presence of the LVO on the received MCA and ICA region using Deep Learning techniques and accordingly the presence of the LVO is reported.

公开(公告)号：US11636596B1

公开(公告)日：2023-04-25

申请号：US17986066

申请日：2022-11-14

Applicant: Qure.ai Technologies Private Limited

Inventor： Preetham Putha ,  Sasank Chilamkurthy ,  Satish Kumar Golla ,  Swetha Tanamala ,  Ujjwal Upadhyay

IPC: G06T7/00 ,  G06T3/40 ,  G06T5/10 ,  G06T7/11 ,  G16H50/20 ,  G06V10/25

Abstract: A system and a method for monitoring a brain CT scan image using ASPECTS score. The method includes receiving the brain CT scan image of a patient. Further, a basal ganglia region and a corona radiata level are identified in a plurality of slices in the brain CT scan image. Furthermore, a plurality of anatomical regions, a plurality of infarcts and a plurality of black regions are segmented using deep learning. Subsequently, an overlapping region across the plurality of slices is determined based on the plurality of anatomical regions, the plurality of infarcts, and the plurality of black regions. The overlapping region and a predefined threshold are used to compute an ASPECTS score. The ASPECTS score is further used to recommend a course of action to the patient.

公开(公告)号：US11501437B1

公开(公告)日：2022-11-15

申请号：US17858191

申请日：2022-07-06

Applicant: Qure.ai Technologies Private Limited

Inventor： Ujjwal Upadhyay ,  Satish Kumar Golla ,  Swetha Tanamala ,  Sasank Chilamkurthy ,  Preetham Putha

IPC: G06T7/00 ,  G16H30/40 ,  G16H50/20 ,  G06T7/11

Abstract: A system and a method for monitoring a brain CT scan image using ASPECTS score. The method includes receiving the brain CT scan image of a patient. Further, a basal ganglia region and a corona radiata level are identified in a plurality of slices in the brain CT scan image. Furthermore, a plurality of anatomical regions and a plurality of infarcts are segmented using deep learning. Subsequently, an overlapping region across the plurality of slices is determined based on the plurality of anatomical regions and the plurality of infarcts. The overlapping region and a predefined threshold are used to compute an ASPECTS score. The ASPECTS score is further used to recommend a course of action to the patient.