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

Development of Light Weight Bullet Proof Material
Development of Light Weight Bullet Proof Material
Development of New Tools to Reverse Antibiotic Resistance in Pathogens Like Pseudomonas Aeruginosa
Development of New Tools to Reverse Antibiotic Resistance in Pathogens Like Pseudomonas Aeruginosa
Immunization Coverage
Immunization Coverage
An Investigation on the corrosion behavior of cast spinodal Bronze (Cu-Sn-Ni) alloys
An Investigation on the corrosion behavior of cast spinodal Bronze (Cu-Sn-Ni) alloys
ACIST : Amrita Content based Indexing and Searching Tool
ACIST : Amrita Content based Indexing and Searching Tool
Admissions Apply Now