In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
See More
Technology of Graphic & Image
|
App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 11
3499-3503

Plaque segmentation of HRMR image based on saliency location and dynamic adaptive region growing

Yan Jing1a
Liu Qiyu2
Zhou Ying2
Zhang Shunyuan2
Liu Zhigui1b
1. a. College of Computer Science & Technology, b. College of Information Engineering, Southwest University of Science & Technology, Mianyang Sichuan 621010, China
2. Dept. of Radiology, Mianyang Central Hospital, Mianyang Sichuan 621000, China
DOI: 10.19734/j.issn.1001-3695.2018.08.0597

Abstract

In order to solve the problem of segmentation difficulty caused by the fuzzy boundary of plaque and intensity inhomogeneity of HRMR image, this paper proposed a plaque segmentation method combining saliency localization and improved dynamic adaptive region growing. This method used non-local mean filtering algorithm and smooth gradient map to achieve image denoising and plaque blur edge enhancement. It used morphological reconstruction to the saliency detection image obtained by saliency detection to obtain plaque localization image. It employed improved dynamics adaptive region growing algorithm to achieve accurate segmentation of intracranial plaques. The experimental subjects were the HRMR images of 34 patients with cerebral vascular stenosis. The average segmentation accuracy of plaques reached 90.16% by comparison with expert manual segmental results. The results show that the method can not only improve the segmentation accuracy of plaque, and completely preserve the weak edge information of the intracranial plaque, but also avoid the subjective difference caused by manual segmentation by different doctors. This algorithm may be used to assist the clinical diagnosis and treatment of patients with cerebral vascular stenosis.

Foundation Support

四川省科技计划资助项目(18ZDYF3046)
西南科技大学研究生创新基金资助项目(18YCX005)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.08.0597
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Technology of Graphic & Image
Pages: 3499-3503
Serial Number: 1001-3695(2019)11-068-3499-05

Publish History

[2019-11-05] Printed Article

Cite This Article

严静, 刘启榆, 周莹, 等. 基于显著性定位和动态自适应区域生长的HRMR图像斑块分割 [J]. 计算机应用研究, 2019, 36 (11): 3499-3503. (Yan Jing, Liu Qiyu, Zhou Ying, et al. Plaque segmentation of HRMR image based on saliency location and dynamic adaptive region growing [J]. Application Research of Computers, 2019, 36 (11): 3499-3503. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)