P3I-4 Multidimensional Segmentation of a Mouse Left Ventricle

This paper describes a method to determine three dimensional (3D) segmentation of a mouse left ventricle over time. The temporal varying 3D data consist of elevationally interpolating a temporal sequence of two dimensional (2D) short axis ultrasound slices. The gradient vector flow active surface is used to determine a 3D surface of the LV. The initial approximation of the gradient vector flow active surface is attained by temporally propagating the final surface from the previous time instance. An inherent problem with temporal propagation is that parts of two distinct surfaces in close proximity tend to converge to the same spatial location. We propose to embed a model correction method into the 4D segmentation algorithm to alleviate this problem