Automatic landmark detection and scan range delimitation for topogram images using hierarchical network

Wei Zhang; Frederic Mantlic; Shaohua Kevin Zhou

doi:10.1117/12.844559

12 March 2010 Automatic landmark detection and scan range delimitation for topogram images using hierarchical network

Wei Zhang, Frederic Mantlic, Shaohua Kevin Zhou

Proceedings Volume 7623, Medical Imaging 2010: Image Processing; 762311 (2010) https://doi.org/10.1117/12.844559
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

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.

Citation Download Citation

Wei Zhang, Frederic Mantlic, and Shaohua Kevin Zhou "Automatic landmark detection and scan range delimitation for topogram images using hierarchical network", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 762311 (12 March 2010); https://doi.org/10.1117/12.844559

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