Abstract #5199

Combining MR Fingerprinting with Voxel-based Morphometric MRI Analysis to Reduce False Positives for Focal Cortical Dysplasia Detection

Zheng Ding^1,2, Siyuan Hu², Ting-Yu Su^1,2, Joon Yul Choi¹, Xiaofeng Wang³, Ken Sakaie⁴, Hiroatsu Murakami¹, Hans-Juergen Huppertz⁵, Ingmar Blumcke^1,6, Stephen Jones⁴, Imad Najm¹, Dan Ma², and Zhong Irene Wang¹

¹Epilepsy Center, Cleveland Clinic, Cleveland, OH, United States, ²Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, ³Quantitative Health Science, Cleveland Clinic, Cleveland, OH, United States, ⁴Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, ⁵Swiss Epilepsy Clinic - Klinik Lengg AG, Zurich, Switzerland, ⁶University of Erlangen-Nuremberg, Erlangen, Germany

Synopsis

Keywords: Epilepsy, MR FingerprintingWe sought to improve focal cortical dysplasia (FCD) lesion detection by combining MR fingerprinting (MRF) with voxel-based morphometric MRI analysis. We acquired high-resolution MRF and T1w MPRAGE data from 29 patients and 47 age-and-gender-matched healthy controls. FCD probability maps were generated using the morphometric analysis program (MAP18). MRF T1 and T2 values in white matter were significantly higher in true-positive clusters than false-positive clusters. Using normalized MRF T1, T2, and cluster size as input, an SVM model was able to predict whether each cluster represents a true positive with high accuracy, demonstrating its potential contribution to clinical FCD detection workflow.

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