NDLI: Segmentation of contrast enhanced CT images for attenuation correction of PET/CT data

Content Provider	IEEE Xplore Digital Library
Author	Fen Qiao Tong Yue Pan, T. Clark, J.W. Mawlawi, O.
Copyright Year	2004
Description	Author affiliation: Rice Univ., Houston, TX (Fen Qiao; Tong Yue)
Abstract	The use of contrast media in PET/CT imaging has been suggested to cause PET artifacts during the CT-based attenuation correction process. In this paper, we evaluate three algorithms that segment intravenous (IV) contrast-enhanced tissue from chest CT images to minimize possible artifacts. The algorithms that were evaluated are template matching, 3D region growing, and snake-based technique. These methods were tested using 5 patient studies. The segmentation result of each method was compared to its corresponding manually segmented images on a voxel-wise basis, and a squared difference between the two segmentation results was calculated. The averaged squared differences of all 5 patients for the template matching, region growing, and snake-based method were 19.0%plusmn7.1%, 65.2%plusmn51.5%, and 13.5%plusmn6.5% respectively. We concluded that the snake model is most suitable for efficiently segmenting the contrast-enhanced CT images among the three methods
Starting Page	2686
Ending Page	2689
File Size	558391
Page Count	4
File Format	PDF
ISBN	0780387007
ISSN	10823654
e-ISBN	0780387015
DOI	10.1109/NSSMIC.2004.1462821
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-16
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computed tomography Image segmentation Attenuation Positron emission tomography Bones Telephony Biological tissues Cancer Physics Skeleton
Content Type	Text
Resource Type	Article

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