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Proceedings Paper

A method for extracting multi-organ from four-phase contrasted CT images based on CT value distribution estimation using EM-algorithm
Author(s): Makiko Sakashita; Takayuki Kitasaka; Kensaku Mori; Yasuhito Suenaga; Shigeru Nawano
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Paper Abstract

This paper presents a method for extracting multi-organs from four-phase contrasted CT images taken at different contrast timings (non-contrast, early, portal, and late phases). First, we apply a median filter to each CT image and align four-phase CT images by performing non-rigid volumetric image registration. Then, a three-dimensional joint histogram of CT values is computed from three-phase (early-, portal-, and late-) CT images. We assume that this histogram is a mixture of normal distributions corresponding to the liver, spleen, kidney, vein, artery, muscle, and bone regions. The EM algorithm is employed to estimate each normal distribution. Organ labels are assigned to each voxel using the mahalanobis distance measure. Connected component analysis is applied to correct the shape of each organ region. After that, the pancreas region is extracted from non-contrasted CT images in which other extracted organs and vessel regions are excluded. The EM algorithm is also employed for estimating the distribution of CT values inside the pancreas. We applied this method to seven cases of four-phase CT images. Extraction results show that the proposed method extracted multi-organs satisfactorily.

Paper Details

Date Published: 29 March 2007
PDF: 12 pages
Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65141C (29 March 2007); doi: 10.1117/12.709232
Show Author Affiliations
Makiko Sakashita, Nagoya Univ. (Japan)
Takayuki Kitasaka, Nagoya Univ. (Japan)
Kensaku Mori, Nagoya Univ. (Japan)
Yasuhito Suenaga, Nagoya Univ. (Japan)
Shigeru Nawano, National Cancer Ctr. Hospital East (Japan)


Published in SPIE Proceedings Vol. 6514:
Medical Imaging 2007: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

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