Automatic detection of endplates and pedicles in spine x-ray images

Guo-Qing Wei; JianZhong Qian; Helmut F. Schramm

doi:10.1117/12.431048

3 July 2001 Automatic detection of endplates and pedicles in spine x-ray images

Guo-Qing Wei, JianZhong Qian, Helmut F. Schramm

Proceedings Volume 4322, Medical Imaging 2001: Image Processing; (2001) https://doi.org/10.1117/12.431048
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

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

Citation Download Citation

Guo-Qing Wei, JianZhong Qian, and Helmut F. Schramm "Automatic detection of endplates and pedicles in spine x-ray images", Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); https://doi.org/10.1117/12.431048

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