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Proceedings Paper

Partial volume correction for volume estimation of liver metastases and lymph nodes in CT scans using spatial subdivision
Author(s): Frank Heckel; Volker Dicken; Tilman Bostel; Michael Fabel; Andreas Kiessling; Heinz-Otto Peitgen
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Paper Abstract

In oncological therapy monitoring, the estimation of tumor growth from consecutive CT scans is an important aspect in deciding whether the given treatment is adequate for the patient. This can be done by measuring and comparing the volume of a lesion in the scans based on a segmentation. However, simply counting the voxels within the segmentation mask can lead to significant differences in the volume, if the lesion has been segmented slightly differently by various readers or in different scans, due to the limited spatial resolution of CT and due to partial volume effects. We present a novel algorithm for measuring the volume of liver metastases and lymph nodes which considers partial volume effects at the surface of a lesion. Our algorithm is based on a spatial subdivision of the segmentation. We have evaluated the algorithm on a phantom and a multi-reader study. Our evaluations have shown that our algorithm allows determining the volume more accurately even for larger slice thicknesses. Moreover, it reduces inter-observer variability of volume measurements significantly. The calculation of the volume takes 2 seconds for 503 voxels on a single 2.66GHz Intel Core2 CPU.

Paper Details

Date Published: 12 March 2010
PDF: 11 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76230T (12 March 2010); doi: 10.1117/12.844200
Show Author Affiliations
Frank Heckel, Fraunhofer MEVIS (Germany)
Volker Dicken, Fraunhofer MEVIS (Germany)
Tilman Bostel, Johannes Gutenberg Univ. (Germany)
Michael Fabel, Christian-Albrechts-Univ. zu Kiel (Germany)
Andreas Kiessling, Philipps-Univ. (Germany)
Heinz-Otto Peitgen, Fraunhofer MEVIS (Germany)

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

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