Open Ph D Position in Lally Lab, TCD – Machine Learning for Identification of Carotid Plaque Vulnerability
Code: 2022 TCD02
Title: Deep Learning for Magnetic Resonance Quantitative Susceptibility Mapping of Carotid Artery Plaques
Supervision Team: Caitríona Lally, TCD (Primary Supervisor); Catherine Mooney, UCD (External Secondary Supervisor); Alan Stone, St Vincent's Hospital Dublin (Additional Supervisory Team Member)
Description: Carotid artery disease is the leading cause of ischemic stroke.
The current standard‑of‑care involves removing plaques that narrow a carotid artery by more than 50%.
The degree of vessel occlusion, however, is a poor indicator of plaque rupture risk, which ultimately leads to stroke.
Plaque mechanical integrity is the critical factor determining rupture risk, governed by its composition.
Using machine learning approaches and in‑vivo imaging, particularly Quantitative Susceptibility Mapping metrics obtained from MRI, this project proposes to non‑invasively determine plaque composition and vulnerability of carotid plaques to rupture.
The collaborative project has the potential to transform diagnosis and treatment of vulnerable carotid plaques using non‑ionizing MR imaging.
Skills Required: Minimum 2.1 degree in engineering or computer science, image analysis and computer programming an advantage.
For more information please contact lallyca@tcd.ie and to apply see: https://d-real.ie/apply-to-d-real/
Seniority Level: Internship
Employment Type: Full-time
Job Function: Research, Analyst, and Information Technology
Industries: Higher Education
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