Lymph node segmentation from CT images using fast marching method Journal Article


Authors: Yan, J.; Zhuang, T. G.; Zhao, B.; Schwartz, L. H.
Article Title: Lymph node segmentation from CT images using fast marching method
Abstract: Accurate lymph node size analysis is important medically. This paper presents an improved fast marching method to perform semi-automatic segmentation for lymph node from CT images. In this work, we have incorporated the gray scale information of the target region into the fast marching speed term and have given a hard constraint for the stop criteria, instead of only using the spatial image gradient, to remedy the 'boundary leaking' problem of the traditional fast marching method. Various experimental results are provided to demonstrate the effectiveness of the proposed method. © 2004 Elsevier Ltd. All rights reserved.
Keywords: lymph nodes; diagnostic accuracy; computer assisted tomography; image analysis; analytic method; tomography, x-ray computed; automation; diagnostic value; computerized tomography; medical imaging; lymph node; image processing, computer-assisted; biological organs; image segmentation; ct images; humans; priority journal; article; fast marching; fast marching method
Journal Title: Computerized Medical Imaging and Graphics
Volume: 28
Issue: 1-2
ISSN: 0895-6111
Publisher: Elsevier Inc.  
Date Published: 2004-01-01
Start Page: 33
End Page: 38
Language: English
DOI: 10.1016/j.compmedimag.2003.09.003
PROVIDER: scopus
PUBMED: 15127747
DOI/URL:
Notes: Comput. Med. Imaging Graph. -- Cited By (since 1996):42 -- Export Date: 16 June 2014 -- CODEN: CMIGE -- Source: Scopus
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  1. Lawrence H Schwartz
    306 Schwartz
  2. Binsheng Zhao
    55 Zhao