Semi-Supervised Learning in Medical MRI Segmentation: Brain Tissue with White Matter Hyperintensity Segmentation Using FLAIR MRI

White-matter hyperintensity (WMH) is a primary biomarker for small-vessel cerebrovascular disease, Alzheimer’s disease (AD), and others. The association of WMH with brain structural changes has also recently been reported. Although fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) provide valuable information about WMH, FLAIR does not other normal tissue information. multi-modal analysis T1-weighted (T1w) MRI thus desirable WMH-related aging studies. In clinical settings, however, often the only available modality. this study, we propose semi-supervised learning method full segmentation using FLAIR. results our proposed were compared reference labels, which obtained by FreeSurfer on T1w MRI. relative volume difference between two sets shows that high reliability. We further evaluated comparing Dice similarity coefficients method. believe great potential use sequences will encourage others to perform modalities than T1w.