Literature DB >> 34021458

Design of heart phantoms for ultrasound imaging of ventricular septal defects.

Gerardo Tibamoso-Pedraza1, Iñaki Navarro2, Patrice Dion3, Marie-Josée Raboisson2, Chantale Lapierre2, Joaquim Miró2, Sylvie Ratté3, Luc Duong3.   

Abstract

PURPOSE: Ventricular septal defects (VSDs) are common congenital heart malformations. Echocardiography used during VSD hybrid cardiac procedures requires extensive training for image acquisition and interpretation. Cardiac surgery simulators with heart phantoms have shown usefulness for such training, but they are limited in visualization and characterization of complex VSD. This study explores a new method to build patient-specific heart phantoms with VSD, with proper tissue echogenicity for ultrasound imaging.
METHODS: Heart phantoms were designed from preoperative imaging of three patients with complex VSDs. Each whole heart phantom, including atrial and ventricular septums, was obtained by manual segmentation and by surface reconstruction, then by molding and by casting in different materials. Heart phantoms in silicone and polyvinyl alcohol cryogel (PVA-C) were considered, and they were reconstructed in 3-D using 2-D freehand ultrasound imaging.
RESULTS: An electromagnetic measurement system was used to measure the mean VSD diameters from the heart phantoms. Errors were evaluated below 1.0 mm for mean VSD diameters between 6.2 and 7.5 mm.
CONCLUSION: Patient-specific heart phantoms promise for representing complex heart malformations such as VSDs. PVA-C showed better tissue echogenicity than silicone for VSDs visualization and characterization.
© 2021. CARS.

Entities:  

Keywords:  3-D printing; Echocardiography; Heart phantoms; Ventricular septal defects

Mesh:

Year:  2021        PMID: 34021458     DOI: 10.1007/s11548-021-02406-0

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  7 in total

1.  Intraoperative closure of muscular ventricular septal defect in a canine model and application of the technique in a baby.

Authors:  Z Amin; J M Berry; J E Foker; A P Rocchini; J L Bass
Journal:  J Thorac Cardiovasc Surg       Date:  1998-06       Impact factor: 5.209

Review 2.  Simulation-based training for cardiology procedures: Are we any further forward in evidencing real-world benefits?

Authors:  Christopher M Harrison; Jivendra N Gosai
Journal:  Trends Cardiovasc Med       Date:  2016-09-01       Impact factor: 6.677

3.  Optimizing the tensile properties of polyvinyl alcohol hydrogel for the construction of a bioprosthetic heart valve stent.

Authors:  W K Wan; G Campbell; Z F Zhang; A J Hui; D R Boughner
Journal:  J Biomed Mater Res       Date:  2002

4.  Poly(vinyl alcohol) cryogel phantoms for use in ultrasound and MR imaging.

Authors:  K J M Surry; H J B Austin; A Fenster; T M Peters
Journal:  Phys Med Biol       Date:  2004-12-21       Impact factor: 3.609

5.  Semi-supervised generative adversarial networks for the segmentation of the left ventricle in pediatric MRI.

Authors:  Colin Decourt; Luc Duong
Journal:  Comput Biol Med       Date:  2020-06-29       Impact factor: 4.589

6.  Cardiac Tissue-Mimicking Ballistic Gel Phantom for Ultrasound Imaging in Clinical and Research Applications.

Authors:  Natasha Alves; Angela Kim; Jeremy Tan; Germain Hwang; Talha Javed; Bogdan Neagu; Brian K Courtney
Journal:  Ultrasound Med Biol       Date:  2020-05-16       Impact factor: 2.998

7.  PLUS: open-source toolkit for ultrasound-guided intervention systems.

Authors:  Andras Lasso; Tamas Heffter; Adam Rankin; Csaba Pinter; Tamas Ungi; Gabor Fichtinger
Journal:  IEEE Trans Biomed Eng       Date:  2014-05-09       Impact factor: 4.538

  7 in total
  1 in total

1.  Navigation guidance for ventricular septal defect closure in heart phantoms.

Authors:  Gerardo Tibamoso-Pedraza; Sarah Amouri; Victor Molina; Iñaki Navarro; Marie-Josée Raboisson; Joaquim Miró; Chantale Lapierre; Sylvie Ratté; Luc Duong
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-07-07       Impact factor: 3.421

  1 in total

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