2005
DOI: 10.1143/jjap.44.4593
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Construction of Reference Data for Tissue Characterization of Arterial Wall Based on Elasticity Images

Abstract: Previously, we developed the phased tracking method [H. Kanai et al.: IEEE Trans. Ultrason. Ferroelectr. Freq. Control 43 (1996) 791] for measuring the minute change in thickness during one heartbeat and the elasticity of the arterial wall. By comparing pathological images with elasticity images measured with ultrasound, elasticity distributions for respective tissues in the arterial wall were determined. We have already measured the elasticity distributions for lipids and fibrous tissues (mixtures of smooth-m… Show more

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Cited by 24 publications
(24 citation statements)
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“…4). In in vitro experiments, as reported previously, the main components of tissue have their own elasticities 16) . By referring to the elasticity library, we can speculate as to the tissue type whose elastic modulus is close to that of each pixel.…”
Section: Discussionmentioning
confidence: 58%
See 3 more Smart Citations
“…4). In in vitro experiments, as reported previously, the main components of tissue have their own elasticities 16) . By referring to the elasticity library, we can speculate as to the tissue type whose elastic modulus is close to that of each pixel.…”
Section: Discussionmentioning
confidence: 58%
“…Plaques consist of various tissue components, and we previously reported the comparison of the elastic modulus with histologically corresponding tissues, such as lipids, blood clots and calcification 16) . In that report, the distributions of lipids and blood clots were relatively narrow and pure; however, those of collagen, smooth muscle and calcification were wide and rather scattered.…”
Section: Discussionmentioning
confidence: 99%
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“…26 However, it is difficult to discriminate some tissues, such as lipids and blood clots, because of the small differences in their elasticity. 27 Therefore, we are attempting to measure other mechanical properties.…”
Section: Introductionmentioning
confidence: 99%