"A visualization platform for high-throughput, follow-up, co-registered multi-contrast MRI rat brain data"

A. Khmelinskii, L. Mengler, P. Kitslaar, M. Staring, M. Hoehn and B.P.F. Lelieveldt


Multi-contrast MRI is a frequently used imaging technique in preclinical brain imaging. In longitudinal cross-sectional studies exploiting and browsing through this high-throughput, heterogeneous data can become a very demanding task. The goal of this work was to build an intuitive and easy to use, dedicated visualization and side-by-side exploration tool for heterogeneous, co-registered multi-contrast, follow-up cross-sectional MRI data. The registration by-products were used: the deformation field was used to automatically link the same voxel in the displayed datasets of interest. Its determinant of the Jacobian (detJac) was used for a faster and more accurate visual assessment and comparison of brain deformation between the follow-up scans. This was combined with an efficient data management scheme. We investigated the functionality and the utility of our tool in the neuroimaging research field by means of a case study evaluation with three experienced domain scientists, using longitudinal, cross-sectional multi-contrast MRI rat brain data. Based on the performed case study evaluation we can conclude that the proposed tool improves the visual assessment of high-throughput cross-sectional, multi-contrast, follow-up data and can further assist in guiding quantitative studies.



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Copyright © 2013 by the authors. Published version © 2013 by SPIE. Personal use of this material is permitted. However, permission to reprint or republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the copyright holder.


BibTeX entry

author = "{A. Khmelinskii and L. Mengler and P. Kitslaar and M. Staring and M. Hoehn and B.P.F. Lelieveldt}",
title = "{A visualization platform for high-throughput, follow-up, co-registered multi-contrast MRI rat brain data}",
booktitle = "{SPIE Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging}",
editor = "{J.B. Weaver and R.C. Molthen}",
address = "{Orlando, Florida, USA}",
series = "{Proceedings of SPIE}",
volume = "{8672}",
pages = "{86721W}",
month = "{February}",
year = "{2013}",

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