An automatic method for measurements of arterial intima-media thickness using ultrasonic B-mode data

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Abstract

We have previously developed algorithms that use B-mode cineloops for simultaneous measurements of arterial diameter change and longitudinal movement of the arterial wall. In this study the lumen diameter algorithm was extended to also measure arterial intima-media thickness of the far wall. To optimize the algorithm the influence of the lateral width of the region-of-interest (1 pixel, 0.1 mm, 0.5 mm, 1 mm, 2.5 mm and 5 mm) was evaluated. The algorithm estimated intima-media thickness at diastole automatically by measuring the distance between the two positions where the laterally averaged B-mode intensity envelope crosses a threshold value relative to the maximum amplitudes of the intimal and adventitial echoes, respectively. The sub-pixel resolution is achieved by solving the equation of a straight line between the two samples on either side of the threshold value. The measurements were performed on 20 healthy normotensive volunteers (age 25–57 years) on the common carotid artery 2–3 cm proximal to the bifurcation. For the 2.5-mm width, which was considered the best, the intima-media thickness was mean 646 μm (SD 66) for men and 613 μm (SD 68) for women. The systematic difference was −5 μm and the random difference was 31 μm. The CV was 4.9%. The study indicates that the reproducibility is sufficient for in vivo studies when the width of the region-of-interest is 1.0 mm or wider.
Original languageEnglish
Title of host publicationAcoustical Imaging
PublisherSpringer
Pages115–122
Number of pages8
Volume31
ISBN (Electronic)978-94-007-2619-2
ISBN (Print)978-94-007-2618-5
DOIs
Publication statusPublished - 2012
Event31st International Symposium on Acoustical Imaging - Warsaw, Poland
Duration: 2011 Apr 102011 Apr 13

Conference

Conference31st International Symposium on Acoustical Imaging
Country/TerritoryPoland
CityWarsaw
Period2011/04/102011/04/13

Subject classification (UKÄ)

  • Medical Image Processing

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