Construction of a 3D Volumetric Probabilistic Model of the Mouse Kidney from MRI

Abstract

Abstract. We present the results of constructing a probabilistic volumetric model of 3D MR kidney images. The ultimate goal of this work is the mouse kidney segmentation based on a probabilistic volumetric model. The kidneys were aligned into the base shape using an extended robust point matching algorithm. The registration step consists of the global linear transformation and the local B-spline based free form deformation. Shape modeling is performed with globally aligned shape and template volumetric image is generated with locally aligned images. We are currently working on developing a segmentation algorithm using our model.

Volumetric analysis of MRI data monitoring the treatment of polycystic kidney disease in a mouse model

“…The split and merge algorithm [15], level sets [16], and graph cuts [17] have also been used for the analysis of DCE-MRI images of human kidneys. Most of these segmentation methods have been combined with shape priors for improved performance [13,14,[16][17][18][19]. Such shape prior has also been used more extensively for biomedical anatomic segmentation.…”