Literature DB >> 18067386

Finite element modeling of the left atrium to facilitate the design of an endoscopic atrial retractor.

S R Jernigan1, G D Buckner, J W Eischen, D R Cormier.   

Abstract

With the worldwide prevalence of cardiovascular diseases, much attention has been focused on simulating the characteristics of the human heart to better understand and treat cardiac disorders. The purpose of this study is to build a finite element model of the left atrium (LA) that incorporates detailed anatomical features and realistic material characteristics to investigate the interaction of heart tissue and surgical instruments. This model is used to facilitate the design of an endoscopically deployable atrial retractor for use in minimally invasive, robotically assisted mitral valve repair. Magnetic resonance imaging (MRI) scans of a pressurized explanted porcine heart were taken to provide a 3D solid model of the heart geometry, while uniaxial tensile tests of porcine left atrial tissue were conducted to obtain realistic material properties for noncontractile cardiac tissue. A finite element model of the LA was constructed using ANSYS Release 9.0 software and the MRI data. The Mooney-Rivlin hyperelastic material model was chosen to characterize the passive left atrial tissue; material constants were derived from tensile test data. Finite element analysis (FEA) models of a CardioVations Port Access retractor and a prototype endoscopic retractor were constructed to simulate interaction between each instrument and the LA. These contact simulations were used to compare the quality of retraction between the two instruments and to optimize the design of the prototype retractor. Model accuracy was verified by comparing simulated cardiac wall deflections to those measured by MRI. FEA simulations revealed that peak forces of approximately 2.85 N and 2.46 N were required to retract the LA using the Port Access and prototype retractors, respectively. These forces varied nonlinearly with retractor blade displacement. Dilation of the atrial walls and rigid body motion of the chamber were approximately the same for both retractors. Finite element analysis is shown to be an effective tool for analyzing instrument/tissue interactions and for designing surgical instruments. The benefits of this approach to medical device design are significant when compared to the alternatives: constructing prototypes and evaluating them via animal or clinical trials.

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Year:  2007        PMID: 18067386     DOI: 10.1115/1.2801650

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  7 in total

Review 1.  Computational modeling of the human atrial anatomy and electrophysiology.

Authors:  Olaf Dössel; Martin W Krueger; Frank M Weber; Mathias Wilhelms; Gunnar Seemann
Journal:  Med Biol Eng Comput       Date:  2012-06-21       Impact factor: 2.602

2.  Changes in Global and Regional Mechanics Due to Atrial Fibrillation: Insights from a Coupled Finite-Element and Circulation Model.

Authors:  Christian B Moyer; Patrick T Norton; John D Ferguson; Jeffrey W Holmes
Journal:  Ann Biomed Eng       Date:  2015-01-29       Impact factor: 3.934

3.  Patient-specific cardiac phantom for clinical training and preprocedure surgical planning.

Authors:  Justin Laing; John Moore; Reid Vassallo; Daniel Bainbridge; Maria Drangova; Terry Peters
Journal:  J Med Imaging (Bellingham)       Date:  2018-03-23

4.  A Detailed Study to Discover the Trade between Left Atrial Blood Flow, Expression of Calcium-Activated Potassium Channels and Valvular Atrial Fibrillation.

Authors:  Pin Shen; Misbahul Ferdous; Xiaoqi Wang; Guojian Li; Runwei Ma; Xiangbin Pan; Hongming Zhang; Guimin Zhang; Zhiling Luo; Lakshme Kottu; Jiang Lu; Yi Song; Lin Duo; Jianming Xia; Enze Yang; Xiang Cheng; Manning Li; Shaohui Jiang; Yi Sun
Journal:  Cells       Date:  2022-04-19       Impact factor: 7.666

5.  Evaluation of a novel atrial retractor for exposure of the mitral valve in a porcine model.

Authors:  Eric Bean; Guillaume Chanoit; Shaphan Jernigan; Gil Bolotin; Jason Osborne; Gregory Buckner
Journal:  J Thorac Cardiovasc Surg       Date:  2008-12       Impact factor: 5.209

6.  Research and development of a new RF-assisted device for bloodless rapid transection of the liver: computational modeling and in vivo experiments.

Authors:  Fernando Burdío; Enrique J Berjano; Ana Navarro; José M Burdío; Luis Grande; Ana Gonzalez; Ignacio Cruz; Antonio Güemes; Ramón Sousa; Jorge Subirá; Tomás Castiella; Ignasi Poves; Juan L Lequerica
Journal:  Biomed Eng Online       Date:  2009-03-18       Impact factor: 2.819

7.  Personalized computational modeling of left atrial geometry and transmural myofiber architecture.

Authors:  Thomas E Fastl; Catalina Tobon-Gomez; Andrew Crozier; John Whitaker; Ronak Rajani; Karen P McCarthy; Damian Sanchez-Quintana; Siew Y Ho; Mark D O'Neill; Gernot Plank; Martin J Bishop; Steven A Niederer
Journal:  Med Image Anal       Date:  2018-04-05       Impact factor: 8.545

  7 in total

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