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Proceedings Paper

Automatic detection of endplates and pedicles in spine x-ray images
Author(s): Guo-Qing Wei; JianZhong Qian; Helmut F. Schramm
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Paper Abstract

Endplates and pedicles are important anatomies for deformity analysis of spines in radiographs. The first part of the paper presents an evidence-reasoning approach to endplate detection. Multiple pieces of local visual evidence about the presence of an endplate at an image point are first computed. They are then combined with some prior knowledge about vertebra shape to arrive at a consistent and robust detection. In the second part, the paper presents a learning-based method for pedicle detection. Variations in pedicle shapes are learned automatically. Data compression techniques are used to both reduce the data dimension for a fast training and detection, and to enable a multi-scale search without multi-scale training. 15

Paper Details

Date Published: 3 July 2001
PDF: 8 pages
Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.431048
Show Author Affiliations
Guo-Qing Wei, Siemens Corporate Research, Inc. (United States)
JianZhong Qian, Siemens Corporate Research, Inc. (United States)
Helmut F. Schramm, Siemens AG (Germany)

Published in SPIE Proceedings Vol. 4322:
Medical Imaging 2001: Image Processing
Milan Sonka; Kenneth M. Hanson, Editor(s)

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