An accurate segmentation method for volumetry of brain tumor in 3D MRI

Jiahui Wang; Qiang Li; Toshinori Hirai; Shigehiko Katsuragawa; Feng Li; Kunio Doi

doi:10.1117/12.771480

26 March 2008 An accurate segmentation method for volumetry of brain tumor in 3D MRI

Jiahui Wang, Qiang Li, Toshinori Hirai, Shigehiko Katsuragawa, Feng Li, Kunio Doi

Proceedings Volume 6914, Medical Imaging 2008: Image Processing; 69144D (2008) https://doi.org/10.1117/12.771480
Event: Medical Imaging, 2008, San Diego, California, United States

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;.

Citation Download Citation

Jiahui Wang, Qiang Li, Toshinori Hirai, Shigehiko Katsuragawa, Feng Li, and Kunio Doi "An accurate segmentation method for volumetry of brain tumor in 3D MRI", Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69144D (26 March 2008); https://doi.org/10.1117/12.771480

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