Home Publications Research Grants Inventions & Patents Awards Additional Research Activities Faculties & Institutions Research Areas

Estimating the body portion of CT volumes by matching histograms of visual words

Feulner J, Zhou SK, Seifert S, Hornegger J, Comaniciu D, Cavallaro AJ (2009)

---

Publication Type: Conference contribution, Conference Contribution

Publication year: 2009

Journal

Original Authors: Feulner J., Zhou S., Seifert S., Cavallaro A., Hornegger J., Comaniciu D.

Book Volume: 7259

Pages Range: -

Event location: Lake Buena Vista, FL

Journal Issue: null

DOI: 10.1117/12.810240

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. © 2009 Copyright SPIE - The International Society for Optical Engineering.

Authors with CRIS profile

Involved external institutions

How to cite

APA:

Feulner, J., Zhou, S.K., Seifert, S., Hornegger, J., Comaniciu, D., & Cavallaro, A.J. (2009). Estimating the body portion of CT volumes by matching histograms of visual words. In Proceedings of the Medical Imaging 2009 - Image Processing (pp. -). Lake Buena Vista, FL.

MLA:

Feulner, Johannes, et al. "Estimating the body portion of CT volumes by matching histograms of visual words." Proceedings of the Medical Imaging 2009 - Image Processing, Lake Buena Vista, FL 2009. -.

BibTeX: Download