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

Clinical Research Training Center and Clinical Trials
Clinical Research Training Center and Clinical Trials
Macrocyclic and Carbocyclic Constructions by SET Oxidations of Styrenes, Allenes and Cyclopropanes
Macrocyclic and Carbocyclic Constructions by SET Oxidations of Styrenes, Allenes and Cyclopropanes
Production, Purification and Application of Naringinase from Aspergillus sp. Sec.Nigri
Production, Purification and Application of Naringinase from Aspergillus sp. Sec.Nigri
Sustainable Architecture Solutions – Compressed Earth Block Technology for Rural Housing
Sustainable Architecture Solutions – Compressed Earth Block Technology for Rural Housing
Modular Water Distribution System – Rajasthan
Modular Water Distribution System – Rajasthan
Admissions Apply Now