Ka-Loh Li

Dr. Ka-Loh Li is an Honorary Research Associate at the Division of Informatics, Imaging & Data Sciences, University of Manchester. Her research focuses on advancing MRI techniques to improve therapy monitoring for brain tumors, particularly through low-dose gadolinium contrast studies to reduce long-term health risks. She has pioneered novel methods like dual-temporal resolution DCE-MRI and high-spatial resolution imaging for tumor characterization.

• Education: PhD in Chemistry/NMR from Clark University (USA), postdoctoral training at City University of New York and Harvard Medical School.
• Research Interests: Gadolinium toxicity mitigation, DCE-MRI parameter optimization, neuro-oncology imaging.

Her work addresses critical challenges in neuroimaging, including accurate microvascular parameter estimation and minimizing patient exposure to contrast agents. Collaborations include Prof. Timothy Cootes, Dr. Daniel Lewis, and Dr. Xiaoping Zhu, focusing on vascular input function modeling and antiangiogenic therapy monitoring in neurofibromatosis patients.

• Key Projects: Low-dose Gd DCE-MRI for vestibular schwannoma, tumor habitat delineation via ΔR1 mapping.
• Labs/Teams: Active in Manchester's Digital Futures and Christabel Pankhurst Institute initiatives.