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

Quorum Sensing and Biofilm Formation in Microbial Pathogenesis
Quorum Sensing and Biofilm Formation in Microbial Pathogenesis
Low-Cost Food Formulations Rich in Iron, Folic Acid, Calcium & Antioxidants for Rural Adolescent & Pregnant Women
Low-Cost Food Formulations Rich in Iron, Folic Acid, Calcium & Antioxidants for Rural Adolescent & Pregnant Women
Experimental and Numerical Investigation of flame stabilization in porous media burner for hydrocarbon-hydrogen fuels
Experimental and Numerical Investigation of flame stabilization in porous media burner for hydrocarbon-hydrogen fuels
GURU an MPEG-4 Based Distance Learning Environment for Users with Disabilities
GURU an MPEG-4 Based Distance Learning Environment for Users with Disabilities
An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products (Phase-4)
An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products (Phase-4)
Admissions Apply Now