Share Email Print
cover

Proceedings Paper

Fully automatic detection of the vertebrae in 2D CT images
Author(s): Franz Graf; Hans-Peter Kriegel; Matthias Schubert; Michael Strukelj; Alexander Cavallaro
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Knowledge about the vertebrae is a valuable source of information for several annotation tasks. In recent years, the research community spent a considerable effort for detecting, segmenting and analyzing the vertebrae and the spine in various image modalities like CT or MR. Most of these methods rely on prior knowledge like the location of the vertebrae or other initial information like the manual detection of the spine. Furthermore, the majority of these methods require a complete volume scan. With the existence of use cases where only a single slice is available, there arises a demand for methods allowing the detection of the vertebrae in 2D images. In this paper, we propose a fully automatic and parameterless algorithm for detecting the vertebrae in 2D CT images. Our algorithm starts with detecting candidate locations by taking the density of bone-like structures into account. Afterwards, the candidate locations are extended into candidate regions for which certain image features are extracted. The resulting feature vectors are compared to a sample set of previously annotated and processed images in order to determine the best candidate region. In a final step, the result region is readjusted until convergence to a locally optimal position. Our new method is validated on a real world data set of more than 9 329 images of 34 patients being annotated by a clinician in order to provide a realistic ground truth.

Paper Details

Date Published: 10 March 2011
PDF: 10 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79620C (10 March 2011); doi: 10.1117/12.877668
Show Author Affiliations
Franz Graf, Ludwig-Maximilians-Univ. München (Germany)
Hans-Peter Kriegel, Ludwig-Maximilians-Univ. München (Germany)
Matthias Schubert, Ludwig-Maximilians-Univ. München (Germany)
Michael Strukelj, Ludwig-Maximilians-Univ. München (Germany)
Alexander Cavallaro, Imaging Science Institute Erlangen (Germany)


Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

© SPIE. Terms of Use
Back to Top