Semi-automated assessment of left ventricular volume through 2D echocardiographic images using a tissue-mimicking phantom

K. Wang, D. Zheng, A. J. Sims, A. Murray

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

Left ventricular (LV) volume is an important index for a wide range of cardiovascular diseases. In clinical assessment, echocardiography is one of the most frequently used imaging modalities. The aim of this study was to investigate the accuracy of the LV volume quantification through echo images based on a laboratory phantom with known volume. A tissue-mimicking phantom with the same ultrasound property as human blood and soft tissue was developed. It is considered to be a good reference for evaluating the accuracy of a semi-automated technique for LV volume measurement through 2D echo images. The volume measured by the semi-automated technique was compared with the theoretical volume and manual measured volume. The results showed a significant underestimation of the phantom volume when compared with the known volume: bias with known volume: -2.77ml (P=0.03); bias with manual measurement: -2.87ml (P=0.03).

Original languageEnglish
Title of host publicationComputing in Cardiology 2011, CinC 2011
PublisherIEEE
Pages317-320
Number of pages4
ISBN (Print)9781457706127
Publication statusPublished - 1 Dec 2011
Externally publishedYes
EventComputing in Cardiology 2011, CinC 2011 - Hangzhou, China
Duration: 18 Sep 201121 Sep 2011

Publication series

NameComputing in Cardiology
Volume38
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

ConferenceComputing in Cardiology 2011, CinC 2011
CountryChina
CityHangzhou
Period18/09/1121/09/11

ASJC Scopus subject areas

  • Computer Science(all)
  • Cardiology and Cardiovascular Medicine

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  • Cite this

    Wang, K., Zheng, D., Sims, A. J., & Murray, A. (2011). Semi-automated assessment of left ventricular volume through 2D echocardiographic images using a tissue-mimicking phantom. In Computing in Cardiology 2011, CinC 2011 (pp. 317-320). [6164566] (Computing in Cardiology; Vol. 38). IEEE.