Liver segmentation for CT images using GVF snake Journal Article


Authors: Liu, F.; Zhao, B.; Kijewski, P. K.; Wang, L.; Schwartz, L. H.
Article Title: Liver segmentation for CT images using GVF snake
Abstract: Accurate liver segmentation on computed tomography (CT) images is a challenging task especially at sites where surrounding tissues (e.g., stomach, kidney) have densities similar to that of the liver and lesions reside at the liver edges. We have developed a method for semiautomatic delineation of the liver contours on contrast-enhanced CT images. The method utilizes a snake algorithm with a gradient vector flow (GVF) field as its external force. To improve the performance of the GVF snake in the segmentation of the liver contour, an edge map was obtained with a Canny edge detector, followed by modifications using a liver template and a concavity removal algorithm. With the modified edge map, for which unwanted edges inside the liver were eliminated, the GVF field was computed and an initial liver contour was formed. The snake algorithm was then applied to obtain the actual liver contour. This algorithm was extended to segment the liver volume in a slice-by-slice fashion, where the result of the preceding slice constrained the segmentation of the adjacent slice. 551 two-dimensional liver images from 20 volumetric images with colorectal metastases spreading throughout the livers were delineated using this method, and also manually by a radiologist for evaluation. The difference ratio, which is defined as the percentage ratio of mismatching volume between the computer and the radiologist's results, ranged from 2.9% to 7.6% with a median value of 5.3%. © 2005 American Association of Physicists in Medicine.
Keywords: liver neoplasms; accuracy; computer assisted tomography; statistics; tomography, x-ray computed; algorithms; automation; liver; radiologist; algorithm; evaluation; contrast enhancement; liver tumor; contrast medium; contrast media; radiography; computer program; ct; force; biophysics; image segmentation; software design; flow; edge map; gvf; liver contour; snake; liver slice
Journal Title: Medical Physics
Volume: 32
Issue: 12
ISSN: 0094-2405
Publisher: American Association of Physicists in Medicine  
Date Published: 2005-12-01
Start Page: 3699
End Page: 3706
Language: English
DOI: 10.1118/1.2132573
PROVIDER: scopus
PUBMED: 16475769
DOI/URL:
Notes: --- - "Cited By (since 1996): 58" - "Export Date: 24 October 2012" - "CODEN: MPHYA" - "Source: Scopus"
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Lawrence H Schwartz
    306 Schwartz
  2. Binsheng Zhao
    55 Zhao
  3. Fan Ying Liu
    22 Liu
  4. Liang Wang
    35 Wang