MRI Scan Synthesis Methods Based on Clustering and Pix2Pix

Giulia Baldini, Melanie Schmidt, Charlotte Zäske, Liliana Lourenco Caldeira

Abstract: We consider a missing data problem in the context of automatic segmentation methods for Magnetic Resonance Imaging (MRI) brain scans. Usually, automated MRI scan segmentation is based on multiple scans (e.g., T1-weighted, T2-weighted, T1CE, FLAIR). However, quite often a scan is blurry, missing or otherwise unusable. We investigate the question whether a missing scan can be synthesized. We exemplify that this is in principle possible by synthesizing a T2-weighted scan from a given T1-weighted scan.