Assessment of reliability of multi-site neuroimaging via traveling phantom study

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Publication Type pre-print
School or College <blank>
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Creator Gerig, Guido
Other Author Gouttard, Sylvain; Styner, Martin; Prastawa, Marcel; Piven, Joseph
Title Assessment of reliability of multi-site neuroimaging via traveling phantom study
Date 2008-01-01
Description This paper describes a framework for quantitative analysis of neuroimaging data of traveling human phantoms used for cross-site validation. We focus on the analysis of magnetic resonance image data including intra- and intersite comparison. Locations and magnitude of geometric deformation is studied via unbiased atlas building and metrics on deformation fields. Variability of tissue segmentation is analyzed by comparison of volumes, overlap of tissue maps, and a new Kullback-Leibler divergence on tissue probabilities, with emphasis on comparing probabilistic rather than binary segmentations. We show that results from this information theoretic measure are highly correlated with overlap. Reproducibility of automatic, atlas-based segmentation of subcortical structures is examined by comparison of volumes, shape overlap and surface distances. Variability among scanners of the same type but also differences to a different scanner type are discussed. The results demonstrate excellent reliability across multiple sites that can be achieved by the use of the today's scanner generation and powerful automatic analysis software. Knowledge about such variability is crucial for study design and power analysis in new multi-site clinical studies. Keywords: Multi-site neuroimaging study, validation, traveling phantom, automatic segmentation, cross-site validation.
Type Text
Publisher Springer
Volume 5242
First Page 263
Last Page 270
Language eng
Bibliographic Citation Gouttard, S., Styner, M., Prastawa, M., Piven, J., Gerig, G. (2008). Assessment of reliability of multi-site neuroimaging via traveling phantom study. Proceedings of Medical Image Computing and Computer Assisted Intervention 2008, Lecture Notes in Computer Science LNCS, 5242, 263-70.
Rights Management (c) Springer (The original publication is available at The final publication is available at Springer via
Format Medium application/pdf
Format Extent 1,540,080 bytes
Identifier uspace,19233
ARK ark:/87278/s65f2204
Setname ir_uspace
Date Created 2015-03-06
Date Modified 2021-05-06
ID 712857
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