Three-Dimensional Congenital Heart Models Created With Free Software and a Desktop Printer: Assessment of Accuracy, Technical Aspects, and Clinical Use.


Journal

World journal for pediatric & congenital heart surgery
ISSN: 2150-136X
Titre abrégé: World J Pediatr Congenit Heart Surg
Pays: United States
ID NLM: 101518415

Informations de publication

Date de publication:
Nov 2020
Historique:
entrez: 9 11 2020
pubmed: 10 11 2020
medline: 16 2 2021
Statut: ppublish

Résumé

Three-dimensional printing is increasingly recognized as a valuable tool for congenital heart disease (CHD) procedural planning and education. Cost and complexity currently limit the more widespread adoption of this technology. We sought to demonstrate the accuracy of 3D printed CHD models created from contrast-enhanced magnetic resonance imaging (MRI) and computed tomography (CT) scans using free software and an inexpensive desktop fused filament fabrication (FFF) printer. Solid segmentations of the intracardiac blood pool were created with the program ITK-SNAP. Using the computer program Meshmixer, the segmentation model was hollowed to create a 0.8 mm shell with the inner surface representing endocardium. Three-dimensional models were created on an FFF printer. Four arteries and a ventricular septal defect (VSD) were 3D printed and measured for accuracy. Five models were used to assess candidacy for biventricular surgical repair and one to guide an interventional catheterization. All six patients underwent intervention planned with the 3D models. The computer model shell walls all achieved specifications within 0.05 mm of the designated 0.8 mm thickness and the original solid blood pool segmentation fit within the hollowed 3D model. The 3D printed arteries and VSD all measured accurately to within 0.5 mm of their source computer model. Accurate 3D printed models of complex, pediatric CHD may be created from volumetric MRI and CT studies using free online software and printed on an inexpensive desktop printer.

Sections du résumé

BACKGROUND BACKGROUND
Three-dimensional printing is increasingly recognized as a valuable tool for congenital heart disease (CHD) procedural planning and education. Cost and complexity currently limit the more widespread adoption of this technology. We sought to demonstrate the accuracy of 3D printed CHD models created from contrast-enhanced magnetic resonance imaging (MRI) and computed tomography (CT) scans using free software and an inexpensive desktop fused filament fabrication (FFF) printer.
METHODS METHODS
Solid segmentations of the intracardiac blood pool were created with the program ITK-SNAP. Using the computer program Meshmixer, the segmentation model was hollowed to create a 0.8 mm shell with the inner surface representing endocardium. Three-dimensional models were created on an FFF printer. Four arteries and a ventricular septal defect (VSD) were 3D printed and measured for accuracy. Five models were used to assess candidacy for biventricular surgical repair and one to guide an interventional catheterization.
RESULTS RESULTS
All six patients underwent intervention planned with the 3D models. The computer model shell walls all achieved specifications within 0.05 mm of the designated 0.8 mm thickness and the original solid blood pool segmentation fit within the hollowed 3D model. The 3D printed arteries and VSD all measured accurately to within 0.5 mm of their source computer model.
CONCLUSION CONCLUSIONS
Accurate 3D printed models of complex, pediatric CHD may be created from volumetric MRI and CT studies using free online software and printed on an inexpensive desktop printer.

Identifiants

pubmed: 33164685
doi: 10.1177/2150135120952072
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

797-801

Auteurs

Gregory Perens (G)

21785UCLA Mattel Children's Hospital, Children's Heart Center, Los Angeles, CA, USA.

Justin Chyu (J)

21785UCLA Mattel Children's Hospital, Children's Heart Center, Los Angeles, CA, USA.

Kevin McHenry (K)

21785UCLA Mattel Children's Hospital, Children's Heart Center, Los Angeles, CA, USA.

Takegawa Yoshida (T)

Diagnostic Cardiovascular Imaging Laboratory, Department of Radiology, 12222David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

J Paul Finn (JP)

Diagnostic Cardiovascular Imaging Laboratory, Department of Radiology, 12222David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

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Classifications MeSH