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A standardized protocol for manually segmenting stroke lesions on high-resolution T1-weighted MR images

Authors :
Bethany P. Lo
Miranda R. Donnelly
Giuseppe Barisano
Sook-Lei Liew
Source :
Frontiers in Neuroimaging, Vol 1 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

Although automated methods for stroke lesion segmentation exist, many researchers still rely on manual segmentation as the gold standard. Our detailed, standardized protocol for stroke lesion tracing on high-resolution 3D T1-weighted (T1w) magnetic resonance imaging (MRI) has been used to trace over 1,300 stroke MRI. In the current study, we describe the protocol, including a step-by-step method utilized for training multiple individuals to trace lesions (“tracers”) in a consistent manner and suggestions for distinguishing between lesioned and non-lesioned areas in stroke brains. Inter-rater and intra-rater reliability were calculated across six tracers trained using our protocol, resulting in an average intraclass correlation of 0.98 and 0.99, respectively, as well as a Dice similarity coefficient of 0.727 and 0.839, respectively. This protocol provides a standardized guideline for researchers performing manual lesion segmentation in stroke T1-weighted MRI, with detailed methods to promote reproducibility in stroke research.

Details

Language :
English
ISSN :
28131193
Volume :
1
Database :
Directory of Open Access Journals
Journal :
Frontiers in Neuroimaging
Publication Type :
Academic Journal
Accession number :
edsdoj.8d51f8202b1940848f61ea3b005cc80d
Document Type :
article
Full Text :
https://doi.org/10.3389/fnimg.2022.1098604