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

Large Magnetoresistance Electrodeposited Bismuth Films for Low Magnetic Field Sensing
Large Magnetoresistance Electrodeposited Bismuth Films for Low Magnetic Field Sensing
Screening for reading Difficulty 
Screening for reading Difficulty 
Women Empowerment through Skill Development & Income Generation
Women Empowerment through Skill Development & Income Generation
Software test case repository maintenance automation using AI
Software test case repository maintenance automation using AI
Enhancing QoS in Long-Range Ocean Wireless Communication Networks: A Performance Evaluation
Enhancing QoS in Long-Range Ocean Wireless Communication Networks: A Performance Evaluation
Admissions Apply Now