Segmentation in high dimensional space, e.g. 4D, often requires decomposition of the space and sequential data process, for instance space followed by time. In [1], the authors presented a deformable model that can be generalized into arbitrary dimensions. However, its direct implementation is computationally prohibitive. The more efficient method proposed by the same authors has significant ov...