Medical Image Registration and Visualization on Tumor Growth with Time Series

Data registration is a common process in medical image analysis. The goal of data registration is to solve the transformation problem with multiple images’ alignment. Conventionally, diagnosing the tumors periodically requires understanding the growth and spread of tumor which is performed by doctors by visual inspections of multiple MRI scans taken over different stages in time series. Due to the misalignment of patient’s posture, comparison of these multiple MRI scans is tedious. This problem is addressed often using image registration of non-rigid body. However, this can be slow and hard to implement. On the other hand, rigid body registration is sometimes faster and easier to implement. The downside is that rigid body registration doesn’t usually take deformation into consideration. In this paper, two rigid body registration methods were explored, which are the BFP method and the PA method. Those results are later compared with the ICP method.