A novel active contour model using, local and global statistics for vessel extraction

被引:0
|
作者
Sum, K. W. [1 ]
Cheung, Paul Y. S. [1 ]
机构
[1] Univ Hong Kong, Dept Elect & Elect Engn, Pokfulam, Hong Kong, Peoples R China
关键词
active contours; level set method; narrow-band; vessel extraction; medical image analysis;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Vessel extraction is one of the critical tasks in clinical practice. Most of the deformable models used in these applications are based on either image gradient or global statistics of the intensity as their curve evolution and stopping criteria. However, the models using global statistic alone are not adaptive to the uneven intensity distribution since they do not take local variations in the area of interest into consideration. In this paper, we propose a novel level set based active contour model which combines a simple local function with the global statistical information for better vessel extraction results.
引用
收藏
页码:3797 / +
页数:2
相关论文
共 50 条
  • [21] A Vessel Active Contour Model for Vascular Segmentation
    Tian, Yun
    Chen, Qingli
    Wang, Wei
    Peng, Yu
    Wang, Qingjun
    Duan, Fuqing
    Wu, Zhongke
    Zhou, Mingquan
    BIOMED RESEARCH INTERNATIONAL, 2014, 2014
  • [22] Multiscale active contour model for vessel segmentation
    School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China
    J. Med. Eng. Technol., 2008, 1 (1-9):
  • [23] Automatic Building Extraction Using a Fuzzy Active Contour Model
    Kabolizade, Mostafa
    Ebadi, Hamid
    Mokhtarzade, Mehdi
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2014, 80 (11): : 1061 - 1068
  • [24] An object extraction method using sampled active contour model
    Hashimoto, M
    Sakai, Y
    Kinoshita, H
    SYSTEMS AND COMPUTERS IN JAPAN, 1995, 26 (13) : 66 - 74
  • [25] Automated contour extraction of mammographic mass shadow using an improved active contour model
    Nakagawa, T
    Hara, T
    Fujita, H
    Iwase, T
    Endo, T
    Horita, K
    CARS 2004: COMPUTER ASSISTED RADIOLOGY AND SURGERY, PROCEEDINGS, 2004, 1268 : 882 - 885
  • [26] Improved Algorithm for Gradient Vector Flow Based Active Contour Model Using Global and Local Information
    Zhao, Jianhui
    Chen, Bingyu
    Sun, Mingui
    Jia, Wenyan
    Yuan, Zhiyong
    SCIENTIFIC WORLD JOURNAL, 2013,
  • [27] Medical image segmentation by combing the local, global enhancement, and active contour model
    Voronin, V.
    Semenishchev, E.
    Pismenskova, M.
    Balabaeva, O.
    Agaian, S.
    ANOMALY DETECTION AND IMAGING WITH X-RAYS (ADIX) IV, 2019, 10999
  • [28] A Fast Active Contour Model Driven by Global-local Statistical Energy
    Lin, Ying
    Yang, Yun
    Wang, Xiaofang
    2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL III, PROCEEDINGS, 2008, : 407 - +
  • [29] Active Contour Model via Local and Global Intensity Information for Image Segmentation
    Yuan, Shuai
    Monkam, Patrice
    Li, Siqi
    Song, Haolin
    Zhang, Feng
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 5618 - 5623
  • [30] A global and local active contour model based on dual algorithm for image segmentation
    Xu, Haiyong
    Jiang, Gangyi
    Yu, Mei
    Luo, Ting
    COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2017, 74 (06) : 1471 - 1488