Characterisation of structural changes in the arterial elastic matrix by a new fractal feature : directional fractal curve
A new fractal feature, the Directional Fractal Curve (DFC), defined over an arc of 180 and composed of 90 fractal dimensions determined at intervals of arc of 2, is developed to account for the anisotropic property of a fractal texture. The DFC algorithm is first applied to two images with different...
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| Veröffentlicht in: | Medical & biological engineering & computing 1997-05, Vol.35 (3), p.246-252 |
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| creator | JIANG, C. F AVOLIO, A. P |
| description | A new fractal feature, the Directional Fractal Curve (DFC), defined over an arc of 180 and composed of 90 fractal dimensions determined at intervals of arc of 2, is developed to account for the anisotropic property of a fractal texture. The DFC algorithm is first applied to two images with different textural patterns, one without directional preference and one with a well-organised texture. The DFC of these images shows different patterns. The technique is then applied to quantify the structure of the elastic texture in the arterial wall where the elastic network was imaged by scanning electron microscopy following selective tissue digestion. The results suggest: (i) that images of the elastin matrix of the arterial wall exhibit fractal properties with directional preference, (ii) the DFC gives quantitative parameters which allow characterisation of structural changes in the elastin matrix of the arterial wall in terms of disorganisation and fragmentation of elastin fibres-conditions which are associated with medial degeneration due to normal ageing or presence of arterial disease. |
| doi_str_mv | 10.1007/BF02530045 |
| format | Article |
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F ; AVOLIO, A. P</creator><creatorcontrib>JIANG, C. F ; AVOLIO, A. P</creatorcontrib><description>A new fractal feature, the Directional Fractal Curve (DFC), defined over an arc of 180 and composed of 90 fractal dimensions determined at intervals of arc of 2, is developed to account for the anisotropic property of a fractal texture. The DFC algorithm is first applied to two images with different textural patterns, one without directional preference and one with a well-organised texture. The DFC of these images shows different patterns. The technique is then applied to quantify the structure of the elastic texture in the arterial wall where the elastic network was imaged by scanning electron microscopy following selective tissue digestion. The results suggest: (i) that images of the elastin matrix of the arterial wall exhibit fractal properties with directional preference, (ii) the DFC gives quantitative parameters which allow characterisation of structural changes in the elastin matrix of the arterial wall in terms of disorganisation and fragmentation of elastin fibres-conditions which are associated with medial degeneration due to normal ageing or presence of arterial disease.</description><identifier>ISSN: 0140-0118</identifier><identifier>EISSN: 1741-0444</identifier><identifier>DOI: 10.1007/BF02530045</identifier><identifier>PMID: 9246859</identifier><language>eng</language><publisher>Heidelberg: Springer</publisher><subject>Algorithms ; Arteries - physiology ; Arteries - ultrastructure ; Biological and medical sciences ; Blood vessels and receptors ; Elastin - physiology ; Fractals ; Fundamental and applied biological sciences. 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The results suggest: (i) that images of the elastin matrix of the arterial wall exhibit fractal properties with directional preference, (ii) the DFC gives quantitative parameters which allow characterisation of structural changes in the elastin matrix of the arterial wall in terms of disorganisation and fragmentation of elastin fibres-conditions which are associated with medial degeneration due to normal ageing or presence of arterial disease.</description><subject>Algorithms</subject><subject>Arteries - physiology</subject><subject>Arteries - ultrastructure</subject><subject>Biological and medical sciences</subject><subject>Blood vessels and receptors</subject><subject>Elastin - physiology</subject><subject>Fractals</subject><subject>Fundamental and applied biological sciences. 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F</au><au>AVOLIO, A. P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterisation of structural changes in the arterial elastic matrix by a new fractal feature : directional fractal curve</atitle><jtitle>Medical & biological engineering & computing</jtitle><addtitle>Med Biol Eng Comput</addtitle><date>1997-05-01</date><risdate>1997</risdate><volume>35</volume><issue>3</issue><spage>246</spage><epage>252</epage><pages>246-252</pages><issn>0140-0118</issn><eissn>1741-0444</eissn><abstract>A new fractal feature, the Directional Fractal Curve (DFC), defined over an arc of 180 and composed of 90 fractal dimensions determined at intervals of arc of 2, is developed to account for the anisotropic property of a fractal texture. The DFC algorithm is first applied to two images with different textural patterns, one without directional preference and one with a well-organised texture. The DFC of these images shows different patterns. The technique is then applied to quantify the structure of the elastic texture in the arterial wall where the elastic network was imaged by scanning electron microscopy following selective tissue digestion. The results suggest: (i) that images of the elastin matrix of the arterial wall exhibit fractal properties with directional preference, (ii) the DFC gives quantitative parameters which allow characterisation of structural changes in the elastin matrix of the arterial wall in terms of disorganisation and fragmentation of elastin fibres-conditions which are associated with medial degeneration due to normal ageing or presence of arterial disease.</abstract><cop>Heidelberg</cop><pub>Springer</pub><pmid>9246859</pmid><doi>10.1007/BF02530045</doi><tpages>7</tpages></addata></record> |
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| identifier | ISSN: 0140-0118 |
| ispartof | Medical & biological engineering & computing, 1997-05, Vol.35 (3), p.246-252 |
| issn | 0140-0118 1741-0444 |
| language | eng |
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| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Algorithms Arteries - physiology Arteries - ultrastructure Biological and medical sciences Blood vessels and receptors Elastin - physiology Fractals Fundamental and applied biological sciences. Psychology Humans Microscopy, Electron, Scanning Scanning electron microscopy Signal Processing, Computer-Assisted Vertebrates: cardiovascular system |
| title | Characterisation of structural changes in the arterial elastic matrix by a new fractal feature : directional fractal curve |
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