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Proceedings Paper

Estimating the body portion of CT volumes by matching histograms of visual words
Author(s): Johannes Feulner; S. Kevin Zhou; Sascha Seifert; Alexander Cavallaro; Joachim Hornegger; Dorin Comaniciu
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Paper Abstract

Being able to automatically determine which portion of the human body is shown by a CT volume image offers various possibilities like automatic labeling of images or initializing subsequent image analysis algorithms. This paper presents a method that takes a CT volume as input and outputs the vertical body coordinates of its top and bottom slice in a normalized coordinate system whose origin and unit length are determined by anatomical landmarks. Each slice of a volume is described by a histogram of visual words: Feature vectors consisting of an intensity histogram and a SURF descriptor are first computed on a regular grid and then classified into the closest visual words to form a histogram. The vocabulary of visual words is a quantization of the feature space by offline clustering a large number of feature vectors from prototype volumes into visual words (or cluster centers) via the K-Means algorithm. For a set of prototype volumes whose body coordinates are known the slice descriptions are computed in advance. The body coordinates of a test volume are computed by a 1D rigid registration of the test volume with the prototype volumes in axial direction. The similarity of two slices is measured by comparing their histograms of visual words. Cross validation on a dataset of 44 volumes proved the robustness of the results. Even for test volumes of ca. 20cm height, the average error was 15.8mm.

Paper Details

Date Published: 27 March 2009
PDF: 8 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72591V (27 March 2009); doi: 10.1117/12.810240
Show Author Affiliations
Johannes Feulner, Univ. Erlangen-Nuremberg (Germany)
S. Kevin Zhou, Siemens Corporate Research, Inc. (United States)
Sascha Seifert, Siemens Corporate Technology (Germany)
Alexander Cavallaro, Imaging Science Institute Erlangen (Germany)
Joachim Hornegger, Univ. Erlangen-Nuremberg (Germany)
Dorin Comaniciu, Siemens Corporate Research, Inc. (United States)


Published in SPIE Proceedings Vol. 7259:
Medical Imaging 2009: Image Processing
Josien P. W. Pluim; Benoit M. Dawant, Editor(s)

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