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 Surface-Modified Carbon Steel by employing Advanced Surface Engineering Technique
Development of Surface-Modified Carbon Steel by employing Advanced Surface Engineering Technique
Impact of Irrigation Systems on Farming Outcomes
Impact of Irrigation Systems on Farming Outcomes
Characterization of the Bacteriophages Binding with Human Matrix Proteins
Characterization of the Bacteriophages Binding with Human Matrix Proteins
An Affordable System for Early Detection of Breast Cancer using Novel Infrared Imaging and Real Time Diagnosis
An Affordable System for Early Detection of Breast Cancer using Novel Infrared Imaging and Real Time Diagnosis
Synthesis, characterization and liquid Crystalline Studies of Azo and Schiff Base Containing Porphyrin Complex
Synthesis, characterization and liquid Crystalline Studies of Azo and Schiff Base Containing Porphyrin Complex
Admissions Apply Now