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Proceedings Paper

An image warping technique for rodent brain MRI-histology registration based on thin-plate splines with landmark optimization
Author(s): Yutong Liu; Mariano Uberti; Huanyu Dou; R. Lee Mosley; Howard E. Gendelman; Michael D. Boska
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Paper Abstract

Coregistration of in vivo magnetic resonance imaging (MRI) with histology provides validation of disease biomarker and pathobiology studies. Although thin-plate splines are widely used in such image registration, point landmark selection is error prone and often time-consuming. We present a technique to optimize landmark selection for thin-plate splines and demonstrate its usefulness in warping rodent brain MRI to histological sections. In this technique, contours are drawn on the corresponding MRI slices and images of histological sections. The landmarks are extracted from the contours by equal spacing then optimized by minimizing a cost function consisting of the landmark displacement and contour curvature. The technique was validated using simulation data and brain MRI-histology coregistration in a murine model of HIV-1 encephalitis. Registration error was quantified by calculating target registration error (TRE). The TRE of approximately 8 pixels for 20-80 landmarks without optimization was stable at different landmark numbers. The optimized results were more accurate at low landmark numbers (TRE of approximately 2 pixels for 50 landmarks), while the accuracy decreased (TRE approximately 8 pixels for larger numbers of landmarks (70- 80). The results demonstrated that registration accuracy decreases with the increasing landmark numbers offering more confidence in MRI-histology registration using thin-plate splines.

Paper Details

Date Published: 27 March 2009
PDF: 7 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72592K (27 March 2009); doi: 10.1117/12.812045
Show Author Affiliations
Yutong Liu, Univ. of Nebraska Medical Ctr. (United States)
Mariano Uberti, Univ. of Nebraska Medical Ctr. (United States)
Huanyu Dou, Univ. of Nebraska Medical Ctr. (United States)
R. Lee Mosley, Univ. of Nebraska Medical Ctr. (United States)
Howard E. Gendelman, Univ. of Nebraska Medical Ctr. (United States)
Michael D. Boska, Univ. of Nebraska Medical Ctr. (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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