Real-time 3D echocardiographic data analysis for left ventricular volume estimation

C. Corsi*, C. Lamberti, A. Sarti, A. Travaglini, T. Shiota, J. D. Thomas

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

A new computerized semi-automatic method for left ventricular chamber segmentation is presented. Left ventricle is imaged by real-time three-dimensional echocardiography. This real-time data acquisition method allows accurate evaluation of chamber size and shape, even in case there are cavities with irregular geometry. The surface detection model is based on a partial differential equation that propagates interfaces with curvature dependent speeds. The equation is solved by applying numerical methods for conservation laws. The method consists of one step only. Initial conditions are manually established on a small subset of slices of the entire volume. The solution obtained is a surface corresponding to the surface between LV cavity and LV endocardium. This mathematical model is applied to sequences of frames of human hearts (volume range: 34-109 ml) imaged by real-time 3D echocardiography. Volume estimates show an excellent correlation with those obtained by manual tracing (r = 0.99).

Original languageEnglish (US)
Pages (from-to)107-110
Number of pages4
JournalComputers in Cardiology
StatePublished - Dec 1 2000

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

Fingerprint Dive into the research topics of 'Real-time 3D echocardiographic data analysis for left ventricular volume estimation'. Together they form a unique fingerprint.

Cite this