Affiliations 

  • 1 Department of Multimedia, Faculty of Computer Science and Information Technology, University Putra Malaysia, Selangor, Malaysia. aqeel_ye@yahoo.com
  • 2 Department of Multimedia, Faculty of Computer Science and Information Technology, University Putra Malaysia, Selangor, Malaysia. rahmita@upm.edu.my
  • 3 Department of Multimedia, Faculty of Computer Science and Information Technology, University Putra Malaysia, Selangor, Malaysia. ramlan@upm.edu.my
  • 4 Department of Multimedia, Faculty of Computer Science and Information Technology, University Putra Malaysia, Selangor, Malaysia. fatimahk@upm.edu.my
  • 5 Cardiothoracic Unit, Surgical Cluster, Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia. zamrin7680@salam.uitm.edu.my
J Cardiothorac Surg, 2014;9:161.
PMID: 25274253 DOI: 10.1186/s13019-014-0161-1

Abstract

The identification and segmentation of inhomogeneous image regions is one of the most challenging issues nowadays. The surface vessels of the human heart are important for the surgeons to locate the region where to perform the surgery and to avoid surgical injuries. In addition, such identification, segmentation, and visualisation helps novice surgeons in the training phase of cardiac surgery.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.