NDLI: Automatic liver segmentation from abdominal CT scans

Content Provider	IEEE Xplore Digital Library
Author	Campadelli, P. Casiraghi, E. Lombardi, G.
Copyright Year	2007
Description	Author affiliation: Univ. degli Studi di Milano, Milan (Campadelli, P.; Casiraghi, E.; Lombardi, G.)
Abstract	Abdominal CT images have been widely studied in the recent years as they are becoming an invaluable mean for abdominal organ investigation. In the field of medical image processing, some of the current interests are the automatic diagnosis of liver pathologies and its 3D volume rendering. The first and fundamental step in all these studies is the automatic liver segmentation, that is still an open problem. In this paper we describe two automatic methods to segment the liver from abdominal CT data. They have been evaluated on the data of 40 patients, by comparing the automatically detected liver volumes to the liver boundaries manually traced by three experts. The best performing method achieves a symmetric volume difference of 95%, which is comparable to the inter and intra-personal variability of the manual segmentation produced by experts.
Starting Page	731
Ending Page	736
File Size	404680
Page Count	6
File Format	PDF
ISBN	9780769528779
DOI	10.1109/ICIAP.2007.4362863
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-10
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Liver Abdomen Computed tomography Image segmentation Magnetic resonance imaging Cancer Pathology Rendering (computer graphics) Positron emission tomography Computer science
Content Type	Text
Resource Type	Article

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