Patient-Specific Mitral Valve Closure Prediction Using 3D Echocardiography

Philippe Burlina, Chad Sprouse, Ryan Mukherjee, Daniel DeMenthon, Theodore Abraham

Research output: Contribution to journalArticlepeer-review

Abstract

This article presents an approach to modeling the closure of the mitral valve using patient-specific anatomical information derived from 3D transesophageal echocardiography (TEE). Our approach uses physics-based modeling to solve for the stationary configuration of the closed valve structure from the patient-specific open valve structure, which is recovered using a user-in-the-loop, thin-tissue detector segmentation. The method uses a tensile shape-finding approach based on energy minimization. This method is employed to predict the aptitude of the mitral valve leaflets to coapt. We tested the method using 10 intraoperative 3D TEE sequences by comparing the closed valve configuration predicted from the segmented open valve with the segmented closed valve, taken as ground truth. Experiments show promising results, with prediction errors on par with 3D TEE resolution and with good potential for applications in pre-operative planning.

Original languageEnglish (US)
Pages (from-to)769-783
Number of pages15
JournalUltrasound in Medicine and Biology
Volume39
Issue number5
DOIs
StatePublished - May 2013

Keywords

  • 3D echocardiography
  • Image-based modeling and prediction
  • Mitral valve
  • Personalized medicine
  • Pre-operative planning

ASJC Scopus subject areas

  • Biophysics
  • Radiological and Ultrasound Technology
  • Acoustics and Ultrasonics

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