BACKGROUND: Real-time three-dimensional (3D) echocardiography has the ability to construct quantitative models of the mitral valve (MV). Imaging and modeling algorithms rely on operator interpretation of raw images and may be subject to observer-dependent variability. We describe a comprehensive analysis technique to generate high-resolution 3D MV models and examine interoperator and intraoperator repeatability in humans. METHODS: Patients with normal MVs were imaged using intraoperative transesophageal real-time 3D echocardiography. The annulus and leaflets were manually segmented using a TomTec Echo-View workstation. The resultant annular and leaflet point cloud was used to generate fully quantitative 3D MV models using custom Matlab algorithms. Eight images were subjected to analysis by two independent observers. Two sequential images were acquired for 6 patients and analyzed by the same observer. Each pair of annular tracings was compared with respect to conventional variables and by calculating the mean absolute distance between paired renderings. To compare leaflets, MV models were aligned so as to minimize their sum of squares difference, and their mean absolute difference was measured. RESULTS: Mean absolute annular and leaflet distance was 2.4±0.8 and 0.6±0.2 mm for the interobserver and 1.5±0.6 and 0.5±0.2 mm for the intraobserver comparisons, respectively. There was less than 10% variation in annular variables between comparisons. CONCLUSIONS: These techniques generate high-resolution, quantitative 3D models of the MV and can be used consistently to image the human MV with very small interoperator and intraoperator variability. These data lay the framework for reliable and comprehensive noninvasive modeling of the normal and diseased MV.
BACKGROUND: Real-time three-dimensional (3D) echocardiography has the ability to construct quantitative models of the mitral valve (MV). Imaging and modeling algorithms rely on operator interpretation of raw images and may be subject to observer-dependent variability. We describe a comprehensive analysis technique to generate high-resolution 3D MV models and examine interoperator and intraoperator repeatability in humans. METHODS:Patients with normal MVs were imaged using intraoperative transesophageal real-time 3D echocardiography. The annulus and leaflets were manually segmented using a TomTec Echo-View workstation. The resultant annular and leaflet point cloud was used to generate fully quantitative 3D MV models using custom Matlab algorithms. Eight images were subjected to analysis by two independent observers. Two sequential images were acquired for 6 patients and analyzed by the same observer. Each pair of annular tracings was compared with respect to conventional variables and by calculating the mean absolute distance between paired renderings. To compare leaflets, MV models were aligned so as to minimize their sum of squares difference, and their mean absolute difference was measured. RESULTS: Mean absolute annular and leaflet distance was 2.4±0.8 and 0.6±0.2 mm for the interobserver and 1.5±0.6 and 0.5±0.2 mm for the intraobserver comparisons, respectively. There was less than 10% variation in annular variables between comparisons. CONCLUSIONS: These techniques generate high-resolution, quantitative 3D models of the MV and can be used consistently to image the human MV with very small interoperator and intraoperator variability. These data lay the framework for reliable and comprehensive noninvasive modeling of the normal and diseased MV.
Authors: Joseph H Gorman; Robert C Gorman; Benjamin M Jackson; Yoshiharu Enomoto; Martin G St John-Sutton; L Henry Edmunds Journal: Ann Thorac Surg Date: 2003-11 Impact factor: 4.330
Authors: Liam P Ryan; Benjamin M Jackson; Yoshiharu Enomoto; Landi Parish; Theodore J Plappert; Martin G St John-Sutton; Robert C Gorman; Joseph H Gorman Journal: J Thorac Cardiovasc Surg Date: 2007-09 Impact factor: 5.209
Authors: Ivan S Salgo; Joseph H Gorman; Robert C Gorman; Benjamin M Jackson; Frank W Bowen; Theodore Plappert; Martin G St John Sutton; L Henry Edmunds Journal: Circulation Date: 2002-08-06 Impact factor: 29.690
Authors: Liam P Ryan; Benjamin M Jackson; Hirotsuga Hamamoto; Thomas J Eperjesi; Theodore J Plappert; Martin St John-Sutton; Robert C Gorman; Joseph H Gorman Journal: Ann Thorac Surg Date: 2008-09 Impact factor: 4.330
Authors: Alison M Pouch; Paul A Yushkevich; Benjamin M Jackson; Arminder S Jassar; Mathieu Vergnat; Joseph H Gorman; Robert C Gorman; Chandra M Sehgal Journal: Med Phys Date: 2012-02 Impact factor: 4.071
Authors: Alison M Pouch; Chun Xu; Paul A Yushkevich; Arminder S Jassar; Mathieu Vergnat; Joseph H Gorman; Robert C Gorman; Chandra M Sehgal; Benjamin M Jackson Journal: J Biomech Date: 2012-01-26 Impact factor: 2.712
Authors: Jennifer M Richards; Emily J Farrar; Bruce G Kornreich; N Sydney Moїse; Jonathan T Butcher Journal: J Vet Cardiol Date: 2012-02-25 Impact factor: 1.701
Authors: Alison M Pouch; Benjamin M Jackson; Eric Lai; Manabu Takebe; Sijie Tian; Albert T Cheung; Y Joseph Woo; Prakash A Patel; Hongzhi Wang; Paul A Yushkevich; Robert C Gorman; Joseph H Gorman Journal: Ann Thorac Surg Date: 2016-08-01 Impact factor: 4.330
Authors: Chun Xu; Arminder S Jassar; Derek P Nathan; Thomas J Eperjesi; Clayton J Brinster; Melissa M Levack; Mathieu Vergnat; Robert C Gorman; Joseph H Gorman; Benjamin M Jackson Journal: Ann Thorac Surg Date: 2012-03-06 Impact factor: 4.330
Authors: Wobbe Bouma; Chikashi Aoki; Mathieu Vergnat; Alison M Pouch; Shanna R Sprinkle; Matthew J Gillespie; Massimo A Mariani; Benjamin M Jackson; Robert C Gorman; Joseph H Gorman Journal: Ann Thorac Surg Date: 2015-07-14 Impact factor: 4.330