Literature DB >> 12408306

Theoretical and experimental quantification of carotid plaque volume measurements made by three-dimensional ultrasound using test phantoms.

Anthony Landry1, Aaron Fenster.   

Abstract

An accurate technique that exhibits low variability has practical importance for the quantification of carotid plaque volume. Such a technique is necessary to monitor plaque progression or regression that may result in response to nonsurgical therapy. In this study, we investigate the accuracy and variability of plaque volume measurement by three-dimensional ultrasound using vascular plaque phantoms over a range of 68.2 mm3 to 285.5 mm3. The agar plaques maintained a consistent cylindrical geometry with variations in the height, length, and echogenicity. The volume of each plaque was determined by water displacement. The three-dimensional (3D) ultrasound (US) images were acquired with a mechanical scanning system which creates a 3D US Cartesian volume, that was manipulated and viewed in any orientation, from a collection of conventional parallel two-dimensional (2D) US images. The plaque volumes were measured by serial 2D manual planimtery. The mean accuracy in plaque volume measurement was 3.1+/-0.9%. Variability in plaque volume measurement was calculated to be 4.0+/-1.0% and 5.1+/-1.4% for intraobserver and interobserver measurements, respectively. We have also developed a theoretical description for the variance in measurement of plaque volume using manual planimetry. Root-mean-square difference between experimentally and theoretically determined values of plaque volume fractional variance was 9%.

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Year:  2002        PMID: 12408306     DOI: 10.1118/1.1510130

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  6 in total

1.  Three-dimensional ultrasound scanning.

Authors:  Aaron Fenster; Grace Parraga; Jeff Bax
Journal:  Interface Focus       Date:  2011-06-01       Impact factor: 3.906

2.  Object-Specific Four-Path Network for Stroke Risk Stratification of Carotid Arteries in Ultrasound Images.

Authors:  Wei Ma; Yujiao Xia; Xiaoyan Wu; Zheng Yue; Xinyao Cheng; Aaron Fenster; Mingyue Ding
Journal:  Comput Math Methods Med       Date:  2022-04-25       Impact factor: 2.809

3.  Three-dimensional ultrasound measurements of carotid vessel wall and plaque thickness and their relationship with pulmonary abnormalities in ex-smokers without airflow limitation.

Authors:  Jieyu Cheng; Damien Pike; Tommy W S Chow; Miranda Kirby; Grace Parraga; Bernard Chiu
Journal:  Int J Cardiovasc Imaging       Date:  2016-06-24       Impact factor: 2.357

4.  Carotid ultrasound phenotypes in vulnerable populations.

Authors:  Silvia A Riccio; Andrew A House; J David Spence; Aaron Fenster; Grace Parraga
Journal:  Cardiovasc Ultrasound       Date:  2006-11-13       Impact factor: 2.062

5.  Association of carotid artery parameters of atherosclerosis in coronary artery disease.

Authors:  Hyun Soo Kim; Kyoung Im Cho
Journal:  J Cardiovasc Ultrasound       Date:  2013-06-26

6.  Deep learning-based carotid media-adventitia and lumen-intima boundary segmentation from three-dimensional ultrasound images.

Authors:  Ran Zhou; Aaron Fenster; Yujiao Xia; J David Spence; Mingyue Ding
Journal:  Med Phys       Date:  2019-06-11       Impact factor: 4.071

  6 in total

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