Journal article
Improving multiple sclerosis plaque detection using a semiautomated assistive approach
J Van Heerden, D Rawlinson, AM Zhang, XR Chakravorty, MA Tacey, PM Desmond, F Gaillard
American Journal of Neuroradiology | Published : 2015
DOI: 10.3174/ajnr.A4375
Open access
Abstract
BACKGROUND AND PURPOSE: Treating MS with disease-modifying drugs relies on accurate MR imaging follow-up to determine the treatment effect. We aimed to develop and validate a semiautomated software platform to facilitate detection of new lesions and improved lesions. MATERIALS AND METHODS: We developed VisTarsier to assist manual comparison of volumetric FLAIR sequences by using interstudy registration, resectioning, and color-map overlays that highlight new lesions and improved lesions. Using the software, 2 neuroradiologists retrospectively assessedMRimaging MS comparison study pairs acquired between 2009 and 2011 (161 comparison study pairs met the study inclusion criteria). Lesion detect..
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Funding Acknowledgements
The authors acknowledge Andy Le, Suria Barelds, Irene Ngui, and Alex Stern for their assistance with data gathering and integration. The National Information and Communications Technology of Australia Research Centre of Excellence (NICTA) contribution to this work was supported by the Australian Research Council and by the NICTA Victorian Research Laboratory.