Construction of a 3D volumetric probabilistic model of the mouse kidney from MRI

被引：0
|
作者：
Okuda, H [4 ]
Shkarin, P
Behar, K
Duncan, JS
Papademetris, X
机构：
[1] Yale Univ, Dept Psychiat, New Haven, CT 06520 USA
[2] Yale Univ, Dept Biomed Engn, New Haven, CT 06520 USA
[3] Yale Univ, Dept Diagnost Radiol, New Haven, CT 06520 USA
[4] Hitachi Ltd, Prod Engn & Res Lab, Kanagawa, Japan
来源：
MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2004, PT 2, PROCEEDINGS | 2004年 / 3217卷
关键词：
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：1052 / 1054
页数：3
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