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
1Electrical Engineering, Zhejiang University, Hangzhou, China, 2Bioengineering, University of Washington, Seattle, WA, United States, 3Radiology, University of Washington, Seattle, WA, United States
In this work we developed an automatic and robust algorithm for longitudinal registration of knee MRI across a long time span, which firstly achieves rigid registration based on femoral segmentation, and then makes evaluations with tibial alignment.
Fig 2. The sagittal view of rigid registration results based on femoral masks at following time points. The original MR images at following time points are shown in first row. The results of rigid registration and the blend of result and mask are shown in second and third rows. The mask shown is the femoral mask of baseline.
Fig 3. The transverse view of rigid registration results based on femoral masks at following time points. We also draw the popliteal artery mask of baseline on the registration results to confirm that as long as the longitudinal registration is good, there is only a small deviation of the vessel centerline.