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Proceedings Paper

Automatic landmark detection and scan range delimitation for topogram images using hierarchical network
Author(s): Wei Zhang; Frederic Mantlic; Shaohua Kevin Zhou
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Paper Abstract

The topogram is a 2D projection image of human body formed using a Computed Tomography (CT) scanner. It could be used to delimitate the desired scan range for further precise 3D CT scan. In this paper, we present a robust and efficient system for automatically determining scan ranges and their associated anatomical landmarks for topogram images. The system could handle the cases when only about 50% of the desired regions are visible. The robustness of our system can be attributed to three key ingredients: 1. The detection is based on a hierarchical network; 2. Network optimization is based on sequentially optimizing a set of subnetworks; 3. The detection probability is further refined based on the detection context. Extensive experiments (including external testing) on over 1000 topogram images show that our approach works robustly and efficiently even on very challenging data.

Paper Details

Date Published: 13 March 2010
PDF: 8 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 762311 (13 March 2010); doi: 10.1117/12.844559
Show Author Affiliations
Wei Zhang, Siemens Corp. Research (United States)
SET Corp. (United States)
Frederic Mantlic, Siemens Corp. Research (United States)
Shaohua Kevin Zhou, Siemens Corp. Research (United States)


Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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