Copyright © 2005, The European Society of Cardiology
Semi-automatic boundary detection to improve reporting of regional left ventricular function
aDepartment of Cardiology, The John Radcliffe Hospital, Headington, Oxford OX3 9DU, UK
bMirada Solutions Ltd., Oxford, UK
Received 14 January 2005; received in revised form 15 May 2005; accepted after revision 1 June 2005.
* Corresponding author. Tel.: +44 1865 741166; fax: +44 1865 220585. jon.timperley{at}orh.nhs.uk
| Abstract |
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Aims The reporting of regional left ventricular function is based on subjective assessment of endocardial motion and thickening and has a significant learning curve. We hypothesized that the use of an semi-automatic boundary detection system generating images with superimposed moving endocardial borders and a fixed end-diastolic reference border could improve the reporting of regional function.
Methods We obtained 58 resting contrast images of 15 patients and using a new boundary detection system (Quamus®), generated images with superimposed endocardial borders. The contrast images, images with additional Quamus borders and Quamus borders alone were assessed by two level 1 and two level 2 echocardiographers. They scored regional function and results were compared to two level 3 experienced stress echocardiography readers.
Results The addition of borders improved the agreement of level 1 echocardiographers (weighted Kappa increased from 0.55 to 0.64) but did not change for level 2 echocardiographers (0.63 to 0.64) and has the potential to be a useful training tool.
Keywords: Automatic boundary detection; Left ventricular function; Contrast echocardiography