2001
DOI: 10.1006/nimg.2001.0845
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Spatial Normalization of Brain Images with Focal Lesions Using Cost Function Masking

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Cited by 825 publications
(613 citation statements)
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“…The DCT may be insufficient to model large focal warping to normalize enlarged ventricles from obstructive hydrocephalus associated with the tumors, and the SSD similarity measure could be biased by surgical cavities. Lesion masking improves DCT-derived spatial normalization (Brett et al, 2001); however, we have found this approach to be inadequate for the post-operative patient group.…”
Section: Introductionmentioning
confidence: 76%
“…The DCT may be insufficient to model large focal warping to normalize enlarged ventricles from obstructive hydrocephalus associated with the tumors, and the SSD similarity measure could be biased by surgical cavities. Lesion masking improves DCT-derived spatial normalization (Brett et al, 2001); however, we have found this approach to be inadequate for the post-operative patient group.…”
Section: Introductionmentioning
confidence: 76%
“…T1 images from FIS patients and controls were segmented, and each lesion mask was used for cost-function masking for normalization to the MNI template. This procedure prevents lesions from biasing the transformations applied [61].…”
Section: (Iii) Lesion Mapping Analysismentioning
confidence: 99%
“…Lesions were traced onto each structural scan using MRIcro v1.34 (Rorden & Brett, 2000) to create a 3D lesion volume, and normalised to the SPM 96 (Statistical Parametric Mapping; Wellcome Department of Cognitive Neurology, London, UK) average T1 structural scan from 152 healthy subjects, using cost function masking (Brett, Leff, Rorden, & Ashburner, 2001) to exclude the lesion from the calculation of normalisation parameters. Lesion overlaps are displayed in Fig.…”
Section: Lesion Characteristicsmentioning
confidence: 99%