Literature DB >> 9550175

A brief history of Doppler ultrasound in the diagnosis of peripheral vascular disease.

B Sigel1.   

Abstract

The history of Doppler ultrasound in peripheral vascular diagnosis is considered in terms of basic developments, clinical applications and impact on medical practice. Many early developments occurred at Osaka University in Japan and the University of Washington in the United States. Through progressive steps, Doppler ultrasound technology has provided clinical applications in blood-flow sensing, waveform analysis, localizing blood flow and two-dimensional (2-D) mapping of blood flow. An important advance was the development of duplex and color Doppler scanning. Real time velocity measurements and flow mapping have led to many clinical applications. Two important applications have been detection and grading of atherosclerotic plaques in the internal carotid artery and the diagnosis of deep venous thrombosis. Doppler ultrasound is the preferred noninvasive imaging method for each of these clinical problems. The recent reaffirmation of carotid endarterectomy as the appropriate management for certain categories of carotid atherosclerotic occlusive disease has led to guidelines for selecting patients for carotid endarterectomy. New Doppler ultrasound criteria are being developed to identify categories of stenosis that relate to these guidelines. The establishment of Doppler ultrasound has led to training programs for technologists and physicians, certification of technologists and establishment of standards and quality control measures for vascular laboratories.

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Year:  1998        PMID: 9550175     DOI: 10.1016/s0301-5629(97)00264-0

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  13 in total

1.  Determining fractal dimension of umbilical artery Doppler signals using Hurst exponent.

Authors:  Fatma Latifoğlu; Sadik Kara; Mehmet Güney
Journal:  J Med Syst       Date:  2007-12       Impact factor: 4.460

Review 2.  Secondary Stroke Prevention: Improving Diagnosis and Management with Newer Technologies.

Authors:  Yahia Z Imam; Atlantic D'Souza; Rayaz A Malik; Ashfaq Shuaib
Journal:  Transl Stroke Res       Date:  2016-09-02       Impact factor: 6.829

Review 3.  Real-time monitoring of water quality using fish and crayfish as bio-indicators: a review.

Authors:  Iryna Kuklina; Antonín Kouba; Pavel Kozák
Journal:  Environ Monit Assess       Date:  2012-10-07       Impact factor: 2.513

4.  Correlation dimension analysis of Doppler signals in children with aortic valve disorders.

Authors:  Derya Yılmaz; N Fatma Güler
Journal:  J Med Syst       Date:  2009-05-15       Impact factor: 4.460

5.  Wavelet-based neural network analysis of internal carotid arterial Doppler signals.

Authors:  Elif Derya Ubeyli; Inan Güler
Journal:  J Med Syst       Date:  2006-06       Impact factor: 4.460

6.  Comparison of short-time Fourier transform and Eigenvector MUSIC methods using discrete wavelet transform for diagnosis of atherosclerosis.

Authors:  Fatma Latifoğlu; Sadik Kara; Erkan Imal
Journal:  J Med Syst       Date:  2009-06       Impact factor: 4.460

7.  A classification system for stenosis from mitral valve Doppler signals using adaptive network based fuzzy inference system.

Authors:  Mahmut Tokmakçi
Journal:  J Med Syst       Date:  2007-10       Impact factor: 4.460

8.  Usage of a novel, similarity-based weighting method to diagnose atherosclerosis from carotid artery Doppler signals.

Authors:  Kemal Polat; Fatma Latifoğlu; Sadik Kara; Salih Güneş
Journal:  Med Biol Eng Comput       Date:  2007-10-25       Impact factor: 2.602

9.  Doppler imaging with dual-detection full-range frequency domain optical coherence tomography.

Authors:  Panomsak Meemon; Kye-Sung Lee; Jannick P Rolland
Journal:  Biomed Opt Express       Date:  2010-08-10       Impact factor: 3.732

10.  Swept-source based, single-shot, multi-detectable velocity range Doppler optical coherence tomography.

Authors:  Panomsak Meemon; Jannick P Rolland
Journal:  Biomed Opt Express       Date:  2010-09-16       Impact factor: 3.732

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