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

Hong Shen; Bernhard Goebel; Benjamin L. Odry

doi:10.1117/12.535679

12 May 2004 A new algorithm for local surface smoothing with application to chest wall nodule segmentation in lung CT data

Hong Shen, Bernhard Goebel, Benjamin L. Odry

Author Affiliations +

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.535679
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

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 VOI, 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.

Citation Download Citation

Hong Shen, Bernhard Goebel, and Benjamin L. Odry "A new algorithm for local surface smoothing with application to chest wall nodule segmentation in lung CT data", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.535679

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