Increasing temporal resolution of 3D transesophageal ultrasound by rigid body registration of sequential, temporally offset sequences

  • Authors:

  • Francisco Contijoch;Laura Fernandez-de-Manuez;Tri Ngo;Joshua Stearns;Kelly L. Grogan;MaryBeth Brady;Philippe M. Burlina;Andres Santos;David D. Yuh;Daniel A. Herzka;Maria J. Ledesma-Carbayo;Elliot R. McVeigh

  • Affiliations:

  • Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD;Biomedical Image Technologies Laboratory, Universidad Politécnica de Madrid, Spain;Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD;Department of Anesthesiology and Critical Medicine, Johns Hopkins University, Baltimore, MD;Department of Anesthesiology and Critical Medicine, Johns Hopkins University, Baltimore, MD;Department of Anesthesiology and Critical Medicine, Johns Hopkins University, Baltimore, MD;Applied Physics Laboratory, Johns Hopkins University, Baltimore, MD;Biomedical Image Technologies Laboratory, Universidad Politécnica de Madrid, Spain;Department of Cardiac Surgery, Johns Hopkins University, Baltimore, MD;Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD;Biomedical Image Technologies Laboratory, Universidad Politécnica de Madrid, Spain;Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD and Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD

  • Venue:
  • ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
  • Year:
  • 2010

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Abstract

A description of mitral valve function requires both an accurate anatomical description of the three-dimensional (3D) structure as well as a description of the leaflets' rapid motion. Current two-dimensional (2D) ultrasound imaging is unable to capture the 3D anatomy and 3D imaging suffers from severely reduced temporal resolution. We present a method to utilize two sequential 3D transesophageal echocardiographic (TEE) ultrasound acquisitions with a temporal delay to create a dataset that captures the 3D anatomical description of the valve and has a higher temporal resolution. The enhanced dataset should provide better information for modeling the motion of the mitral vale.