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

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 locat...

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Vydáno v:International journal of biomedical and clinical engineering Ročník 1; číslo 1; s. 49 - 58
Hlavní autoři: Neelakanta, Perambur S, Pappusetty, Deepti, Bertot, Edward M
Médium: Journal Article
Jazyk:angličtina
Vydáno: Hershey IGI Global 01.01.2012
Témata:
Algorithms
Bioinformatics
Biomedical materials
Diagnostic imaging
Digital imaging
Format
Gene sequencing
Image analysis
Image processing
Medical imaging
Medical imaging equipment
Nucleotide sequence
Similarity
Symmetry
Two dimensional analysis
ISSN:2161-1610, 2161-1629
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Shrnutí: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.
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ISSN:2161-1610
2161-1629
DOI:10.4018/ijbce.2012010104