Presentation 1997/9/27
Computerized Quantitative Method for Measuring Coronary Artery Stenosis using Morphology Processing.
Tomoyuki Tanaka, Hideo Makino, Masaru Yamazoe, Ikuo Ishii, Makoto Nakashizuka,
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Abstract(in English) It is important to evaluate the severity of coronary atherosclerosis in patients with coronary artery disease. A computerized quantitative method for measuring coronary artery stenosis has been developed not only as an objective index of coronary disease evaluation but also as a decision making factor for selecting therapeutic method and aftercare of patients. In this study, a new quantitative method for coronary stenosis from cineangio-graphic images using pattern filter processing is described. In this method, it is assumed that inside wall surface of coronary artery image with stenosis as a combination of convex and concave patterns with various shape and size. In detail, those patterns on the surface were divided into several structure elements using morphology processing, and the elements were used to get stenosis index to evaluate the severity of disease. In experiments, we defined the formula to calculate stenosis index from pattern spectrum series of the elements, and we confirmed the effectiveness of this method in blood vessel model images with and without stenosis. Furthermore, we applied this method to several coronary angiographic images.
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Keyword(in English) coronary artery stenosis / morphology processing / pattern spectrum
Paper # MBE97-84
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Conference Information
Committee MBE
Conference Date 1997/9/27(1days)
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Paper Information
Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Computerized Quantitative Method for Measuring Coronary Artery Stenosis using Morphology Processing.
Sub Title (in English)
Keyword(1) coronary artery stenosis
Keyword(2) morphology processing
Keyword(3) pattern spectrum
1st Author's Name Tomoyuki Tanaka
1st Author's Affiliation Graduate School of Science and Technology, Niigata University.()
2nd Author's Name Hideo Makino
2nd Author's Affiliation Faculty of Engineering, Niigata University.
3rd Author's Name Masaru Yamazoe
3rd Author's Affiliation Health Administration Center, Niigata University.
4th Author's Name Ikuo Ishii
4th Author's Affiliation Graduate School of Science and Technology, Niigata University.
5th Author's Name Makoto Nakashizuka
5th Author's Affiliation Graduate School of Bio-applications and Systems Engineering.
Date 1997/9/27
Paper # MBE97-84
Volume (vol) vol.97
Number (no) 292
Page pp.pp.-
#Pages 8
Date of Issue