Printing 3D Heart Models From CT Scans Using Materialize: A Congenital Heart Disease Program at the American University of Beirut (AUB)

Author(s):  
Ramsey F. Hamade ◽  
Mohammad Karim Elham ◽  
Issam El Rassi ◽  
Lamya Atweh ◽  
Ziad Bulbul ◽  
...  

Presented in this work is a detailed methodology of how to properly print 3-dimensional (3D) heart models starting from computed tomography (CT) scan and using the Mimics Innovation Suite (Mimics and 3-matic) software package (from Materialize, Leuven, Belgium). The methodology starts by segmenting the clinical DICOM files to retain masks of gray value range of interest. Specifically, retained is the blood volume contained in the heart. Using Mimics, this is accomplished by creating mask and then editing and refining the relevant mask in order to isolate the blood within a certain range of Hounsfield Units (HU). A second mask is created using different gray value ranges to isolate the tissues of the heart. Both 3D models are transferred to 3-matic where integrated Boolean operations are executed to subtract the geometric entities thus retaining the 3D geometry of the heart (including myocardium, cavities, and arteries) of interest. The retained model geometry consists of the muscle surface of the heart and enclosing the hollowed cavities inside that represent the blood volume. Following further processing in 3-matic, the 3D model is now ready for 3D printing. At the American University of Beirut (AUB), a ProJet 3510 SD (3D Systems) is employed to print the heart models (both sectioned and whole). Printed 3D models are employed within the Program for Congenital Heart Disease at AUB that represents a model for clinical applications, education, and research as the first such initiative in Lebanon and the Middle East region.

2019 ◽  
Vol 10 (5) ◽  
pp. 533-538 ◽  
Author(s):  
Frank Han ◽  
Jennifer Co-Vu ◽  
Dalia Lopez-Colon ◽  
John Forder ◽  
Mark Bleiweis ◽  
...  

Planning corrective and palliative surgery for patients who have complex congenital heart disease often relies on the assessment of cardiac anatomy using two-dimensional noninvasive cardiac imaging modalities (echocardiography, cardiac magnetic resonance imaging, and computed tomography scan). Advances in cardiac noninvasive imaging now include the use of three-dimensional (3D) reconstruction tools that produce 3D images and 3D printouts. There is scant evidence available in the literature as to what effect the availability of 3D printouts of complex congenital heart defects has on surgical outcomes. Surgical outcomes of study subjects with a 3D cardiac printout available and their paired control subject without a 3D cardiac printout available were compared. We found a trend toward shorter surgical times in the study group who had the benefit of 3D models, but no statistical significance was found for bypass time, cross-clamp time, total time, length of stay, or respiratory support. These preliminary results support the proposal that 3D modeling be made readily available to congenital cardiac surgery teams, for use in patients with the most complex congenital heart disease.


2014 ◽  
Vol 16 (S1) ◽  
Author(s):  
Rajesh Krishnamurthy ◽  
Ramkumar Krishnamurthy ◽  
Elijah Bolin ◽  
LaDonna Malone ◽  
Myriam E Almeida-Jones ◽  
...  

2000 ◽  
Vol 13 (3) ◽  
pp. 171-176 ◽  
Author(s):  
Lorena Balestrini ◽  
Craig Fleishman ◽  
Laura Lanzoni ◽  
Joseph Kisslo ◽  
A.Resai Bengur ◽  
...  

1947 ◽  
Vol 26 (5) ◽  
pp. 860-868 ◽  
Author(s):  
Woodrow Nelson ◽  
H. S. Mayerson ◽  
John H. Clark ◽  
Champ Lyons

2017 ◽  
Vol 22 (1) ◽  
pp. 81-90 ◽  
Author(s):  
Ali Subat ◽  
Andrew Goldberg ◽  
Samuel Demaria ◽  
Daniel Katz

Significant advancements have been made in the diagnosis and management of congenital heart disease (CHD). As a result, a higher percentage of these patients are surviving to adulthood. Despite this improvement in management, these patients remain at higher risk of morbidity and mortality, particularly in the perioperative setting. One new area of interest in these patients is the implementation of simulation-based medical education. Simulation has demonstrated various benefits across high-acuity scenarios encountered in the hospital. In CHD, simulation has been used in the training of pediatrics residents, assessment of intraoperative complications, echocardiography, and anatomic modeling with 3-dimensional printing. Here, we describe the current state of simulation in CHD, its role in training care providers for the management of this population, and future directions of CHD simulation.


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