Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation
Abstract
Registration is a core component of many imaging pipelines. In case of clinical scans, with lower resolution and sometimes substantial motion artifacts, registration can produce poor results. Visual assessment of registration quality in large clinical datasets is inefficient. In this work, we propose to automatically assess the quality of registration to an atlas in clinical FLAIR MRI scans of the brain. The method consists of automatically...
Paper Details
Title
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation
Published Date
Jul 1, 2020
Journal
Volume
63
Pages
101698 - 101698
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