Using Virtual Reality to Improve Performance and User Experience in Manual Correction of MRI Segmentation Errors by Non-experts.
Segmentation of MRI scans is a critical part of the workflow process before we can further analyze neuroimaging data. Although there are several automatic tools for segmentation, no segmentation software is perfectly accurate, and manual correction by visually inspecting the segmentation errors is required. The process of correcting these errors is tedious and time-consuming, so we present a novel method of performing this task in a head-mounted virtual reality interactive system with a new software, Virtual Brain Segmenter (VBS). We provide the results of user testing on 30 volunteers to show the benefits of our tool as a more efficient, intuitive, and engaging alternative compared with the current method of correcting segmentation errors.
['Duncan|Dominique|D|0000-0002-6154-9262', 'Garner|Rachael|R|', 'Zrantchev|Ivan|I|', 'Ard|Tyler|T|', 'Newman|Bradley|B|', 'Saslow|Adam|A|', 'Wanserski|Emily|E|', 'Toga|Arthur W|AW|']
D001921:Brain D001931:Brain Mapping D002983:Clinical Competence D003951:Diagnostic Errors D006801:Humans D007091:Image Processing, Computer-Assisted D021621:Imaging, Three-Dimensional D008279:Magnetic Resonance Imaging D059906:Neuroimaging D000076142:Virtual Reality
Virtual reality MRI Segmentation Imaging Quality control