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Proceedings Paper

Model-based motion correction of reduced field of view diffusion MRI data
Author(s): Jan Hering; Ivo Wolf; Hans-Peter Meinzer; Klaus H. Maier-Hein
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Paper Abstract

In clinical settings, application of the most recent modelling techniques is usually unfeasible due to the limited acquisition time. Localised acquisitions enclosing only the object of interest by reducing the field-of-view (FOV) counteract the time limitation but pose new challenges to the subsequent processing steps like motion correction. We use datasets from the Human Connectome Project (HCP) to simulate head motion distorted reduced FOV acquisitions and present an evaluation of head motion correction approaches: the commonly used affine regis- tration onto an unweighted reference image guided by the mutual information (MI) metric and a model-based approach, which uses reference images computed from approximated tensor data to improve the performance of the MI metric. While the standard approach using the MI metric yields up to 15% outliers (error>5 mm) and a mean spatial error above 1.5 mm, the model-based approach reduces the number of outliers (1%) and the spatial error significantly (p<;0.01). The behavior is also reflected by the visual analysis of the MI metric. The evaluation shows that the MI metric is of very limited use for reduced FOV data post-processing. The model-based approach has proven more suitable in this context.

Paper Details

Date Published: 13 March 2014
PDF: 6 pages
Proc. SPIE 9038, Medical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging, 90381L (13 March 2014); doi: 10.1117/12.2043711
Show Author Affiliations
Jan Hering, German Cancer Research Ctr. (Germany)
Mannheim Univ. of Applied Sciences (Germany)
Ivo Wolf, Mannheim Univ. of Applied Sciences (Germany)
German Cancer Research Ctr. (Germany)
Hans-Peter Meinzer, German Cancer Research Ctr. (Germany)
Klaus H. Maier-Hein, German Cancer Research Ctr. (Germany)
Manheim Univ. of Applied Sciences (Germany)

Published in SPIE Proceedings Vol. 9038:
Medical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging
Robert C. Molthen; John B. Weaver, Editor(s)

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