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Proceedings Paper

Quantitative CT for volumetric analysis of medical images: initial results for liver tumors
Author(s): Alexander S. Behnaz; James Snider; Eneh Chibuzor; Giuseppe Esposito; Emmanuel Wilson; Ziv Yaniv; Emil Cohen; Kevin Cleary
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Paper Abstract

Quantitative CT for volumetric analysis of medical images is increasingly being proposed for monitoring patient response during chemotherapy trials. An integrated MATLAB GUI has been developed for an oncology trial at Georgetown University Hospital. This GUI allows for the calculation and visualization of the volume of a lesion. The GUI provides an estimate of the volume of the tumor using a semi-automatic segmentation technique. This software package features a fixed parameter adaptive filter from the ITK toolkit and a tumor segmentation algorithm to reduce inter-user variability and to facilitate rapid volume measurements. The system also displays a 3D rendering of the segmented tumor, allowing the end user to have not only a quantitative measure of the tumor volume, but a qualitative view as well. As an initial validation test, several clinical cases were hand-segmented, and then compared against the results from the tool, showing good agreement.

Paper Details

Date Published: 13 March 2010
PDF: 6 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76233U (13 March 2010); doi: 10.1117/12.844344
Show Author Affiliations
Alexander S. Behnaz, Georgetown Univ. (United States)
George Mason Univ. (United States)
James Snider, Georgetown Univ. (United States)
Eneh Chibuzor, Georgetown Univ. (United States)
Giuseppe Esposito, Georgetown Univ. (United States)
Emmanuel Wilson, Georgetown Univ. (United States)
Ziv Yaniv, Georgetown Univ. (United States)
Emil Cohen, Georgetown Univ. (United States)
Kevin Cleary, Georgetown Univ. (United States)


Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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