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Proceedings Paper

An accurate segmentation method for volumetry of brain tumor in 3D MRI
Author(s): Jiahui Wang; Qiang Li; Toshinori Hirai; Shigehiko Katsuragawa; Feng Li; Kunio Doi
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Paper Abstract

Accurate volumetry of brain tumors in magnetic resonance imaging (MRI) is important for evaluating the interval changes in tumor volumes during and after treatment, and also for planning of radiation therapy. In this study, an automated volumetry method for brain tumors in MRI was developed by use of a new three-dimensional (3-D) image segmentation technique. First, the central location of a tumor was identified by a radiologist, and then a volume of interest (VOI) was determined automatically. To substantially simplify tumor segmentation, we transformed the 3-D image of the tumor into a two-dimensional (2-D) image by use of a "spiral-scanning" technique, in which a radial line originating from the center of the tumor scanned the 3-D image spirally from the "north pole" to the "south pole". The voxels scanned by the radial line provided a transformed 2-D image. We employed dynamic programming to delineate an "optimal" outline of the tumor in the transformed 2-D image. We then transformed the optimal outline back into 3-D image space to determine the volume of the tumor. The volumetry method was trained and evaluated by use of 16 cases with 35 brain tumors. The agreement between tumor volumes provided by computer and a radiologist was employed as a performance metric. Our method provided relatively accurate results with a mean agreement value of 88&percent;.

Paper Details

Date Published: 26 March 2008
PDF: 8 pages
Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69144D (26 March 2008); doi: 10.1117/12.771480
Show Author Affiliations
Jiahui Wang, Duke Univ. (United States)
Qiang Li, Duke Univ. (United States)
Toshinori Hirai, Kumamoto Univ. Hospital (Japan)
Shigehiko Katsuragawa, Kumamoto Univ. Hospital (Japan)
Feng Li, The Univ. of Chicago (United States)
Kunio Doi, The Univ. of Chicago (United States)

Published in SPIE Proceedings Vol. 6914:
Medical Imaging 2008: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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