Using Virtual Reality to Improve Performance and User Experience in Manual Correction of MRI Segmentation Errors by Non-experts.
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ABSTRACT:
SUBMITTER: Duncan D
PROVIDER: S-EPMC6382628 | biostudies-literature | 2019 Feb
REPOSITORIES: biostudies-literature
Publications
Using Virtual Reality to Improve Performance and User Experience in Manual Correction of MRI Segmentation Errors by Non-experts.
Duncan Dominique D Garner Rachael R Zrantchev Ivan I Ard Tyler T Newman Bradley B Saslow Adam A Wanserski Emily E Toga Arthur W AW
Journal of digital imaging 20190201 1
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 soft ...[more]
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