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

Optimising Temporal Segmentation of Multi-Modal Non-EEGSignals for Human Stress Analysis
Optimising Temporal Segmentation of Multi-Modal Non-EEGSignals for Human Stress Analysis
Evaluation and Promotion of Rational Drug Use in Primary Health Care Centres in Gassim Region
Evaluation and Promotion of Rational Drug Use in Primary Health Care Centres in Gassim Region
The Discovery of MicroRNAs (miRNAs) that Regulate the Expression of Gelatinase A (Matrix metalloproteinase-2/MMP-2) and B (Matrix metalloproteinase-9/MMP-9) in Colon Cancer Cells
The Discovery of MicroRNAs (miRNAs) that Regulate the Expression of Gelatinase A (Matrix metalloproteinase-2/MMP-2) and B (Matrix metalloproteinase-9/MMP-9) in Colon Cancer Cells
Pre and Post-test study of the analgesic activity of Formulation Femme in the management of dysmenorrhoea
Pre and Post-test study of the analgesic activity of Formulation Femme in the management of dysmenorrhoea
Design and Analysis of 6 DOF Manipulator
Design and Analysis of 6 DOF Manipulator
Admissions Apply Now