Literature DB >> 22003738

Regurgitation quantification using 3D PISA in volume echocardiography.

Leo Grady1, Saurabh Datta, Oliver Kutter, Christophe Duong, Wolfgang Wein, Stephen H Little, Stephen R Igo, Shizhen Liu, Mani Vannan.   

Abstract

We present the first system for measurement of proximal isovelocity surface area (PISA) on a 3D ultrasound acquisition using modified ultrasound hardware, volumetric image segmentation and a simple efficient workflow. Accurate measurement of the PISA in 3D flow through a valve is an emerging method for quantitatively assessing cardiac valve regurgitation and function. Current state of the art protocols for assessing regurgitant flow require laborious and time consuming user interaction with the data, where a precise execution is crucial for an accurate diagnosis. We propose a new improved 3D PISA workflow that is initialized interactively with two points, followed by fully automatic segmentation of the valve annulus and isovelocity surface area computation. Our system is first validated against several in vitro phantoms to verify the calculations of surface area, orifice area and regurgitant flow. Finally, we use our system to compare orifice area calculations obtained from in vivo patient imaging measurements to an independent measurement and then use our system to successfully classify patients into mild-moderate regurgitation and moderate-severe regurgitation categories.

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Year:  2011        PMID: 22003738     DOI: 10.1007/978-3-642-23626-6_63

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  6 in total

1.  Usefulness of 3D-PISA as compared to guideline endorsed parameters for mitral regurgitation quantification.

Authors:  Frank P Schmidt; Theresa Gniewosz; Alexander Jabs; Thomas Münzel; Ulrich Hink; Patrizio Lancellotti; Ralph-Stephan von Bardeleben
Journal:  Int J Cardiovasc Imaging       Date:  2014-07-19       Impact factor: 2.357

Review 2.  What Does 3D Echocardiography Add to 2D Echocardiography in the Assessment of Mitral Regurgitation?

Authors:  Tadafumi Sugimoto; Raluca Dulgheru; Stella Marchetta; Federica Ilardi; Laura Contu; Yun Yun Go; Patrizio Lancellotti
Journal:  Curr Cardiol Rep       Date:  2017-08-24       Impact factor: 2.931

3.  Artificial intelligence and automation in valvular heart diseases.

Authors:  Qiang Long; Xiaofeng Ye; Qiang Zhao
Journal:  Cardiol J       Date:  2020-06-22       Impact factor: 2.737

Review 4.  [Real-time 3D echocardiography for estimation of severity in valvular heart disease : Impact on current guidelines].

Authors:  T Buck; L Bösche; B Plicht
Journal:  Herz       Date:  2017-05       Impact factor: 1.443

Review 5.  Real-Time Three-Dimensional Echocardiographic Assessment of Severity of Mitral Regurgitation Using Proximal Isovelocity Surface Area and Vena Contracta Area Method. Lessons We Learned and Clinical Implications.

Authors:  Thomas Buck; Björn Plicht
Journal:  Curr Cardiovasc Imaging Rep       Date:  2015

6.  Quantification of regurgitation in mitral valve prolapse with automated real time echocardiographic 3D proximal isovelocity surface area: multimodality consistency and role of eccentricity index.

Authors:  Ricardo A Spampinato; Frank Lindemann; Cosima Jahnke; Ingo Paetsch; Florian Fahr; Franz Sieg; Maximilian von Roeder; Thilo Noack; Sebastian Hilbert; Susanne Löbe; Elfriede Strotdrees; Gerhard Hindricks; Michael A Borger
Journal:  Int J Cardiovasc Imaging       Date:  2021-02-22       Impact factor: 2.357

  6 in total

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