Welcome to the InfoSci Platform
Bioinformatics-Inspired Algorithms for 2D-Image Analysis­­—Application to Medical Images Part II: Images in Circular Format

Bioinformatics-Inspired Algorithms for 2D-Image Analysis­­—Application to Medical Images Part II: Images in Circular Format

Perambur S. Neelakanta, Edward M. Bertot, Deepti Pappusetty
Copyright: © 2012 |Volume: 1 |Issue: 1 |Pages: 10
ISSN: 2161-1610|EISSN: 2161-1629|EISBN13: 9781466615335|DOI: 10.4018/ijbce.2012010104
Cite Article Cite Article

MLA

Neelakanta, Perambur S., et al. "Bioinformatics-Inspired Algorithms for 2D-Image Analysis­­—Application to Medical Images Part II: Images in Circular Format." IJBCE vol.1, no.1 2012: pp.49-58. http://doi.org/10.4018/ijbce.2012010104

APA

Neelakanta, P. S., Bertot, E. M., & Pappusetty, D. (2012). Bioinformatics-Inspired Algorithms for 2D-Image Analysis­­—Application to Medical Images Part II: Images in Circular Format. International Journal of Biomedical and Clinical Engineering (IJBCE), 1(1), 49-58. http://doi.org/10.4018/ijbce.2012010104

Chicago

Neelakanta, Perambur S., Edward M. Bertot, and Deepti Pappusetty. "Bioinformatics-Inspired Algorithms for 2D-Image Analysis­­—Application to Medical Images Part II: Images in Circular Format," International Journal of Biomedical and Clinical Engineering (IJBCE) 1, no.1: 49-58. http://doi.org/10.4018/ijbce.2012010104

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

This paper describes a new method of comparing images of circular/near-circular symmetry so as to elucidate the similarity details between them. If one such image is a test-entity and the other is a reference template, the comparison in question will lead to find the unique features (and their locations) in the test-image vis-à-vis the template. The method of comparison and similarity assessment indicated thereof is to use the so-called Needleman-Wunsch (NW) and Smith-Waterman (SW) algorithms commonly adopted in bioinformatic contexts of comparing two linear sequences (like DNA chains). Relevant procedure is extended in this study to address 2D-patterns. It involves first transforming the test-image (of circular symmetry) from polar-plane to a rectangular format. Next, the transformed test-image is digitised and compared against a template (also in digital rectangular format) on row-to-row and column-to-column basis. The resulting alignment of pixel bits in the test-image versus the template leads to an optimal score-of-similarity on the comparisons made. Biomedical applications of the proposed strategy are explored with reference to typical and circular/quasi-circular MRI images, and the associated image recognition, interpretation, and locating of the artefacts are discussed.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.