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Abstract #3734

Longitudinal Registration of Knee MRI Based on Femoral and Tibial Alignment

Zhixuan Liang1, Yin Guo2, and Chun Yuan3
1Electrical Engineering, Zhejiang University, Hangzhou, China, 2Bioengineering, University of Washington, Seattle, WA, United States, 3Radiology, University of Washington, Seattle, WA, United States

This study aims to develop an automatic and robust algorithm for longitudinal registration of knee Magnetic Resonance Imaging (MRI) across the time span of eight years. We propose a technique that firstly achieves rigid registration based on femoral segmentation, and then makes evaluations based on tibial alignment. Both qualitative and quantitative results show solid performance of the proposed algorithm. This registration algorithm lays a solid foundation for serial analysis of knee images taken over a multi-year time frame.

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