Algorithm of segmentation for virtual endoscopy

Xiaofeng Liu; Hanqing Lu

doi:10.1117/12.441461

21 September 2001 Algorithm of segmentation for virtual endoscopy

Xiaofeng Liu, Hanqing Lu

Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001) https://doi.org/10.1117/12.441461
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

In this paper we present an automated region-growing algorithm designed to extract the pipe-like organs, i.e. bronchus, colon and blood vessel, from 3D CT images taken by helical CT scanner. The algorithm is called 3D scanline- filling algorithm, which is a kind of region-growing. This algorithm is very fast, and its parameters can be adjusted automatically. It can be utilized in Virtual Endoscopy system (VES), which is an important computer-aided diagnosis method. The data created after applying this algorithm can then be sent to VES for further process, be visualized and displayed on screen. The physician can observed the inner organ on the screen just like with a real endoscopy without any pain.

Citation Download Citation

Xiaofeng Liu and Hanqing Lu "Algorithm of segmentation for virtual endoscopy", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); https://doi.org/10.1117/12.441461

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