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MRI Scan Synthesis Methods based on Clustering and Pix2Pix
May 6, 2024, 4:43 a.m. | Giulia Baldini, Melanie Schmidt, Charlotte Z\"aske, Liliana L. Caldeira
cs.LG updates on arXiv.org arxiv.org
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. …
abstract arxiv automated brain clustering context cs.cv cs.lg data eess.iv flair however imaging mri multiple pix2pix scans segmentation synthesis type
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