NDLI: Liver Tumor Volume Estimation By Semi-Automatic Segmentation Method

Content Provider	IEEE Xplore Digital Library
Author	Rui Lu Marziliano, P. Choon Hua Thng
Copyright Year	2005
Description	Author affiliation: Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ. (Rui Lu; Marziliano, P.)
Abstract	Liver cancer is one of the most popular cancer diseases and causes a large amount of death every year. In order to make decisions such as liver resections, doctors will need to know the tumor volume, and further, the functional liver volume. Thus, an important task in radiology is the determination of tumor volume. Accurate segmentation of liver tumor from an abdominal image is one of the most important steps in 3D representation for liver volume measurement, liver transplant, and treatment planning. Since manual segmentation is inconvenient, time consuming and depends on the individual operator to a large extent, automatic segmentation is much more preferred. In this paper, an active contour model is used to segment tumors from CT abdominal images. Initial boundary is manually placed by operators outside the tumor region. The snake deforms to the tumor boundary with the minimization of energy function. We then calculate the tumor volume using the series of segmented tumor slices. Results show that this method is quite efficient in tumor volume estimation compared with the WHO criteria, which measures the tumor by multiplying the longest perpendicular diameters
Starting Page	3296
Ending Page	3299
File Size	260493
Page Count	4
File Format	PDF
ISBN	0780387414
DOI	10.1109/IEMBS.2005.1617181
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Liver neoplasms Image segmentation Cancer Deformable models Shape Abdomen Volume measurement Active contours Liver diseases Radiology
Content Type	Text
Resource Type	Article

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