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

Improvement in Transient Stability Margin using STATCOM with Super Capacitor
Improvement in Transient Stability Margin using STATCOM with Super Capacitor
Disease Networks: From Cells to Systems
Disease Networks: From Cells to Systems
Comparative quantification and bioavailability assessment of Emodin in Kasamardapatra(Cassia occidentalis L. leaf) before and after addition of buttermilk using Caco2 cell lines
Comparative quantification and bioavailability assessment of Emodin in Kasamardapatra(Cassia occidentalis L. leaf) before and after addition of buttermilk using Caco2 cell lines
Health Economics Perspective for Rural Sanitation
Health Economics Perspective for Rural Sanitation
Linear Coding Method to Improve Embedding Efficiency of Cover Image in Image Steganography
Linear Coding Method to Improve Embedding Efficiency of Cover Image in Image Steganography
Admissions Apply Now