Figure 2 from: Ito K, Anglin J, Kim H, Liew S (2017) Semi-automated Robust Quantification of Lesions (SRQL) Toolbox. Research Ideas and Outcomes 3: e13395. https://doi.org/10.3897/rio.3.e13395
| Main Authors: | Ito, Kaori L, Anglin, Julia, Kim, Hosung, Liew, Sook-Lei |
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| Format: | info Image |
| Terbitan: |
, 2017
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/1139818 |
Daftar Isi:
- Figure 2 - Testing of SRQL toolbox on a single lesion mask. A. The stroke subject's T1 anatomical scan; B. The original lesion mask in red; C. the overlayed purple mask is the lesion segmentation after white matter intensity correction. As shown here, voxels considered to be in the healthy range have been removed by the SRQL toolbox.