Back close

Deep Learning based Automated ASPECT Score and Infarct Core Prediction for Stroke Patients

Start Date: Wednesday, Mar 01,2023

End Date: Monday, Mar 31,2025

Project Incharge:Dr. Vivek Menon
Funded by:ICMR
Deep Learning based Automated ASPECT Score and Infarct Core Prediction for Stroke Patients

The onset of ischemic stroke can be attributed to large vessel occlusions (LVOs), which lead to insufficient supply of oxygen to brain. Early detection and evaluation of infarct core volume plays a crucial role in the optimal treatment for brain ischemia. Leveraging state of the art Deep Learning techniques on Non-Contrast CT (NCCT) brain scans of patients affected by ischemic stroke, our goals are to 

  • automate computing of Alberta Stroke ProgramEarly CT Score (ASPECT Score)
  • automate the segmentation of the infarct core
  • generate Cerebral Blood Volume (CBV) perfusion maps.

Related Projects

Energy Management on Smart Grid using Embedded Systems
Energy Management on Smart Grid using Embedded Systems
Investigation on Effect of Space Radiations on Space Durable Polymeric Nano Composite for Future Generation Space Missions
Investigation on Effect of Space Radiations on Space Durable Polymeric Nano Composite for Future Generation Space Missions
Investigation of compatibility between portland pozzolana cement and admixtures in high performance concrete
Investigation of compatibility between portland pozzolana cement and admixtures in high performance concrete
RF Digital Twin for Wireless Maritime Communication Channel and Pathloss Modeling for fishing vessel LR WiFi networks
RF Digital Twin for Wireless Maritime Communication Channel and Pathloss Modeling for fishing vessel LR WiFi networks
IoT for Smart Farming
IoT for Smart Farming
Admissions Apply Now