An image warping technique for rodent brain MRI-histology registration based on thin-plate splines with landmark optimization

Yutong Liu; Mariano Uberti; Huanyu Dou; R. Lee Mosley; Howard E. Gendelman; Michael D. Boska

doi:10.1117/12.812045

27 March 2009 An image warping technique for rodent brain MRI-histology registration based on thin-plate splines with landmark optimization

Yutong Liu, Mariano Uberti, Huanyu Dou, R. Lee Mosley, Howard E. Gendelman, Michael D. Boska

Author Affiliations +

Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 72592K (2009) https://doi.org/10.1117/12.812045
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

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.

Citation Download Citation

Yutong Liu, Mariano Uberti, Huanyu Dou, R. Lee Mosley, Howard E. Gendelman, and Michael D. Boska "An image warping technique for rodent brain MRI-histology registration based on thin-plate splines with landmark optimization", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72592K (27 March 2009); https://doi.org/10.1117/12.812045

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