Segmentation and 3D Visualization of Pelvic Bone from CT Scan Images

被引：4

作者：

Chandar, K. Punnam ^{[1
]}

Satyasavithri, T. ^{[2
]}

机构：

[1] Kakatiya Univ, Dept ECE, Telangana, India

[2] Jawaharlal Nehru Technol Univ, Dept ECE, Telangana, India

来源：

2016 IEEE 6TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (IACC) | 2016年

关键词：

Segmentation; Traumatic Pelvic Bone injury; 3D Visualization; Active Contours;

D O I：

10.1109/IACC.2016.86

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Segmentation of the pelvic bone from computed tomography (CT) images is a challenging task as CT images are noisy, have wide inhomogeneities in the intensity distribution and its anatomical structure is quite complex. In this paper a framework is proposed to automatic segmentation and 3D visualization of the pelvic bone from computed tomography images to assist the physician to take medical decisions. Further, we have compared the results with the active contour based segmentation and the results are satisfactory. The CT data set used is PELVIX data set from OSIRIX. We have implemented the proposed segmentation frame work in MATLAB and the results are reported.

引用

页码：430 / 433

页数：4

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