Abstract #2124

Visualizing uterine fibroid perfusion after MR-HIFU ablations using T2-corrected IVIM and deep learning-based fitting – an explorative study.

Derk J. Slotman^1,2, Lambertus W. Bartels², Ingrid M. Nijholt¹, Edwin Heijman^3,4, Martijn Froeling², and Martijn F. Boomsma¹

¹Radiology, Isala Zwolle, Zwolle, Netherlands, ²Image Sciences Institute, Imaging & Oncology Division, University Medical Center Utrecht, Utrecht, Netherlands, ³Faculty of Medicine and University Hospital of Cologne, Institute of Diagnostic and Interventional Radiology, University of Cologne, Cologne, Germany, ⁴High Tech Campus, Philips Research Eindhoven, Eindhoven, Netherlands

Synopsis

Blood volume fraction maps derived from diffusion weighted imaging using intravoxel incoherent motion (IVIM) modeling may be an alternative to contrast-enhanced imaging for visualization of local uterine fibroid perfusion, during magnetic resonance-guided high intensity focused ultrasound (MR-HIFU) ablation procedures. In this study, blood volume fraction maps calculated with a T2-corrected IVIM model were compared to T2-uncorrected parameter maps using two fitting techniques. Based on general inspection, T2-corrected parameter maps from deep learning-based fitting were visually the most appealing. A preliminary evaluation showed a linear association between NPVs delineated on blood volume fraction maps and gadolinium contrast-enhanced T1w scans.

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