Transformation Models for Four-Dimensional Image Registration: A Survey

摘要

Four-Dimensional (4D) image has broadened 3D image information by embedding temporal information, which makes it possible to investigate the dynamic anatomy and pathology of patients. This paper aims to provide an overview of the transformation models for 4D image registration. We classify 4D image transformations into the spatial and spatio-temporal categories according to whether temporal information is included in the transformation. A spatial transformation estimates the full displacement field for each image in the 3D image sequence using only isolated 3D volumes, which is applicable to estimate motion model of organs using one sequence for a patient.