The Non-Invasive Functional Tissue Characterization for Arteriosclerosis by Artery Wall Motion Analysis with Time Series High-Speed Echo Images and Continuous Spygmo-Manometer

Abstract

The evaluation method of arteriosclerosis has been established, but most of them are invasive way in late years, non-invasive diagnostic method for arteriosclerosis can be done by the diagnosis with high resolution echography. However even this new diagnostic method can not diagnose until beginning the morphologic changes of the arteries by stenosis. There is little value even if it could be detected the arteriosclerosis after the stenosis of the arteries have progressed And we thought that it should be non-invasive method for evaluating the arteriosclerosis. We introduced a idea of rheological dynamics into analysis. For example the cross-section area of young elastic artery may expand quick and wide and old one dose narrow and slow expansion by blood pressure. We call it functional tissue characterization, and investigated common carotid artery of about 160 persons. In this way we diagnosed the arteriosclerosis by aging quantitatively by some parameters by the nonlinear pressure and area of common carotid artery curve. Furthermore, we were able to separate hypertension group and a physically normal group quantitatively as a result of having evaluated the arteriosclerosis from various vascular disease.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410404

Entities

People

  • Koji Masuda
  • Shinya Kosuge
  • Toshiaki Nagakura
  • Yosuke Ooe
  • Youko Hase

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Arteries
  • Blood
  • Blood Vessels
  • Cardiovascular Diseases
  • Cardiovascular Physiological Phenomena
  • Clinical Laboratories
  • Data Acquisition
  • Diseases And Disorders
  • Elastic Properties
  • Factor Analysis
  • Health Services
  • Image Processing
  • Measurement
  • Regression Analysis
  • Scientific Research
  • Statistical Analysis
  • Ultrasounds

Fields of Study

  • Medicine

Readers

  • Cardiovascular Physiology
  • Computer Vision.
  • Oncology and Biomarker-Based Cancer Detection.