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Proceedings Paper

Evaluation of atlas based mouse brain segmentation
Author(s): Joohwi Lee; Julien Jomier; Stephen Aylward; Mike Tyszka; Sheryl Moy; Jean Lauder; Martin Styner
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Paper Abstract

Magentic Reasonance Imaging for mouse phenotype study is one of the important tools to understand human diseases. In this paper, we present a fully automatic pipeline for the process of morphometric mouse brain analysis. The method is based on atlas-based tissue and regional segmentation, which was originally developed for the human brain. To evaluate our method, we conduct a qualitative and quantitative validation study as well as compare of b-spline and fluid registration methods as components in the pipeline. The validation study includes visual inspection, shape and volumetric measurements and stability of the registration methods against various parameter settings in the processing pipeline. The result shows both fluid and b-spline registration methods work well in murine settings, but the fluid registration is more stable. Additionally, we evaluated our segmentation methods by comparing volume differences between Fmr1 FXS in FVB background vs C57BL/6J mouse strains.

Paper Details

Date Published: 27 March 2009
PDF: 9 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 725943 (27 March 2009); doi: 10.1117/12.812762
Show Author Affiliations
Joohwi Lee, Univ. of North Carolina, Chapel Hill (United States)
Julien Jomier, Kitware, Inc. (United States)
Stephen Aylward, Kitware, Inc. (United States)
Mike Tyszka, California Institute of Technology (United States)
Sheryl Moy, Univ. of North Carolina, Chapel Hill (United States)
Jean Lauder, School of Medicine, Univ. of North Carolina, Chapel Hill (United States)
Martin Styner, Univ. of North Carolina, Chapel Hill (United States)


Published in SPIE Proceedings Vol. 7259:
Medical Imaging 2009: Image Processing
Josien P. W. Pluim; Benoit M. Dawant, Editor(s)

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