Endocardial Surface Delineation in 3-D Transesophageal Echocardiography

Ryan Mukherjee, Saurabh Vyas, Radford Juang, Chad Sprouse, Philippe Burlina

Research output: Contribution to journalArticlepeer-review

Abstract

We describe and compare several methods for recovering endocardial walls from 3-D transesophageal echocardiography (3-D TEE), which can help with diagnostics or providing input into biomechanical models. We employ a segmentation method based on 3-D level sets that maximizes enclosed volume while minimizing surface area and uses a growth inhibition function that includes 3-D gradient magnitude (to locate the endocardial walls) and a thin tissue detector (for the mitral valve leaflets). We also study delineation using a graph cut method that performs automated seeding by leveraging a fast radial symmetry transform to determine a central axis along which the 3-D volume is warped into a cylindrical coordinate space. Finally, a random walker approach is also used for automated delineation. The methods are used to estimate clinically relevant cardiovascular volumetric parameters such as stroke volume and left ventricular ejection fraction. Experiments are performed on clinical data collected from patients undergoing cardiothoracic surgery. Performance evaluation includes comparisons of the automated delineations against expert-defined ground truth using a number of error metrics, as well as errors between automatically computed and expert-derived physiologic parameters.

Original languageEnglish (US)
Pages (from-to)2447-2462
Number of pages16
JournalUltrasound in Medicine and Biology
Volume39
Issue number12
DOIs
StatePublished - Dec 2013

Keywords

  • 3-D Transesophageal echocardiography
  • Endocardial wall segmentation
  • Graph Cuts
  • Level Sets
  • Random Walker

ASJC Scopus subject areas

  • Biophysics
  • Radiological and Ultrasound Technology
  • Acoustics and Ultrasonics

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