A new algorithm for local surface smoothing with application to chest wall nodule segmentation in lung CT data

被引：9

作者：

Shen, H ^{[1
]}

Goebel, B ^{[1
]}

Odry, B ^{[1
]}

机构：

[1] Siemens Corp Res Inc, Intelligent Vis & Reasoning, Princeton, NJ 08540 USA

来源：

MEDICAL IMAGING 2004: IMAGE PROCESSING, PTS 1-3 | 2004年 / 5370卷

关键词：

nodule; polyp; surface smoothing; segmentation; lung cancer; colon cancer; CT volume data; computer aided diagnosis(CAD);

D O I：

10.1117/12.535679

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

We present an algorithm for local Surface smoothing in a defined Volume of Interest (VOI) cropped from 3D volume data. such as lung CT data. There is generally a smooth and piecewise linear surface in the VOL with one or more bumps on the surface. In lung CT data. such bumps can be nodules that are grown from the chest wall, which represent a possibility of lung cancer. Through surface smoothing, the nodules are segmented from the chest wall and its size can be measured as diagnostic evidence. The algorithm has the advantage of high consistency and robustness, and is useful in a segmentation module of a Compute Aided Diagnosis (CAD) system.

引用

页码：1519 / 1526

页数：8

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