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2005
Springer

A Novel Multi-stage 3D Medical Image Segmentation: Methodology and Validation

10 years 10 months ago
A Novel Multi-stage 3D Medical Image Segmentation: Methodology and Validation
Abstract. In this paper, we present a novel multi-stage algorithm for 3D medical image segmentation that is inspired by an improved Fast Marching method and a morphological reconstruction algorithm. The segmentation procedure consists of three steps: Connectivity Reduction, Hybrid segmentation, and Region recovery. The approach is tested on CT cardiac and MRI brain images, to demonstrate the effectiveness and accuracy of the technique. In order to validate this segmentation algorithm, a novel Radial Distance Based Validation (RDBV) method is proposed that provides a global accuracy (GA) measure. GA is calculated based on Local Radial Distance Errors (LRDE), where measured errors are along radii emitted from points along the skeleton of the object rather than the centroid, in order to accommodate more complicated organ structures. Using this GA measure, our results demonstrate that this multi-stage segmentation is fast and accurate, achieving approximately the same segmentation result a...
Jianfeng Xu, Lixu Gu, Xiahai Zhuang, Terry M. Pete
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where CIS
Authors Jianfeng Xu, Lixu Gu, Xiahai Zhuang, Terry M. Peters
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