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

Conductive Polymer Binders for CdS/CdTe Devices
Conductive Polymer Binders for CdS/CdTe Devices
Marine Algae – An Important Source for Lectins
Marine Algae – An Important Source for Lectins
New and Efficient Photosensitizers for Nanocrystalline TiO2 Based Dye Sensitized Solar Cells
New and Efficient Photosensitizers for Nanocrystalline TiO2 Based Dye Sensitized Solar Cells
VLSI Development of Finite Field Arithmetic
VLSI Development of Finite Field Arithmetic
Design and development of a scalable laboratory model of a decentralized  Battery Pack Management System
Design and development of a scalable laboratory model of a decentralized  Battery Pack Management System
Admissions Apply Now