Partial rigid diffeomorphism for measuring temporal change of pancreatic cancer tumor
Yuki Tamura, Tatsuya Yokota, Maurício Kugler, Valentin Triquet, Tomonari Sei, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume, Hidekata Hontani · International Workshop on Advanced Image Technology (IWAIT) 2019 · 2019
The goal of our research is to describe the growth of a tumor region captured in a temporal series of MRI images. The tumor growth description requires registration of the given images in order to compensate the body deformation. It should be noted that one can apply an existing non-rigid registration technique for the compensation but it would deform the tumor region in a source image and the resultant description of the tumor growth would be inaccurate. We hence developed a Large Deformation Diffeomorphic Mapping (LDDMM) method that can non-rigidly registers given images while keeping the shape of the tumor region in a source image. The proposed method was applied to a series of MRI images of a KPC mouse and the results showed our method could successfully described the tumor growth.