Abstract #2082

Novel Strategy for Quantitative Analysis of IVIM Diffusion MRI in Ewing’s Sarcoma Family of Tumours

Esha Baidya Kayal¹, Devasenathipathy K², Kedar Khare³, Jayendra Tiru Alampally², Sameer Bakhshi⁴, Raju Sharma², and Amit Mehndiratta^1,5

¹Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, ²Department of Radiology, All India Institute of Medical Sciences, New Delhi, India, ³Department of Physics, Indian Institute of Technology Delhi, New Delhi, India, ⁴BRA IRCH, All India Institute of Medical Sciences, New Delhi, India, ⁵Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India

Quantitative analysis of IVIM effect revels both diffusion and perfusion component of tissue. As widely used bi-exponential model is not very reliable, we propose two penalty function: a) Total Variation and b) Huber Penalty function with bi-exponential model for IVIM parametric analysis of soft tissue tumours. Results show better fit to IVIM dataset by our two methods compared to standard BE model and freeware Osirix. IVIM analysis using Total Variation Reduction methodology showed qualitatively and quantitatively better estimation of both perfusion and diffusion component in soft tissue tumours.

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