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Abstract #1740

IVIM analysis using Total Variation Penalty Regularization Based Model for Brain Tumor Analysis

Mridula Vij1, Archana Vadiraj Malagi1, Esha Badiya Kayal1, Jitender Saini2, and Amit Mehndiratta1
1Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2Department of Neuroimaging & Interventional Radiology, National Institute of Mental Health and Neuro Sciences, Bengaluru, India

The occurrence of brain tumor is increasing; it is believed that early detection will prove to be beneficial for its treatment. IVIM has proved to provide valuable information and has been explored for brain tumor in prior studies. In the following study, IVIM analysis for brain tumor detection was performed using a novel Biexponential model with Total Variation regularization function (BE+TV model), and a comparison with established Biexponential model was performed. Improvement in coefficient of variation by 16.5 to 43.4% was observed across IVIM parameter. Perfusion faction was estimated to be reliably with this novel methodology.

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