An Improved Algorithm for Automated Detection of Ventricular Contours from Cardiac Magnetic Resonance Images

• Tsai Du-Yih

  Gifu National College of Technology

• Mizuno Takafumi

  Gifu National College of Technology

• Kojima Katsuyuki

  Tokoha-gakuen Hamamatsu University

Bibliographic Information

Other Title

• Improved Algorithm for Automated Detect

Abstract

We previously reported a method for automated detection of ventricular contours in cardiac magnetic resonance (MR) image. However, in the case that the gray-level difference between the ventricles and surrounding tissues is extremely obscure, this technique may not work well. To overcome the shortcomings, in this paper we present an improved algorithm to enable us to extract the contours of ventricles from cardiac MR images having extremely low contrast. The technique is based on our previously reported algorithm by incorporating a 2-step preprocessing procedure. Namely, we first automatically determine the gray value of the boundary between ventricles and surrounding tissues, and then enhance the location of edges to make the boundary clearer. Experimental results confirmed the superiority of our improved method over the previous technique and other commonly used methods.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 117 (6), 708-712, 1997

  The Institute of Electrical Engineers of Japan

Keywords

• Medical image processing
• MR images
• Boundary extraction
• Segmentation

Details

• CRID: 1390282679584763904
• NII Article ID: 130006843803
• NII Article ID: 10002810443
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss1987.117.6_708
• ISSN: 13488155
• ISSN: 03854221
• NDL BIB ID: 4216196
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I4216196
• Web Site: https://www.jstage.jst.go.jp/article/ieejeiss1987/117/6/117_6_708/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed