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Proceedings Paper

3D printed cardiac phantom for procedural planning of a transcatheter native mitral valve replacement
Author(s): Richard L. Izzo; Ryan P. O'Hara; Vijay Iyer; Rose Hansen; Karen M. Meess; S.V. Setlur Nagesh; Stephen Rudin; Adnan H. Siddiqui; Michael Springer; Ciprian N. Ionita
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Paper Abstract

3D printing an anatomically accurate, functional flow loop phantom of a patient’s cardiac vasculature was used to assist in the surgical planning of one of the first native transcatheter mitral valve replacement (TMVR) procedures. CTA scans were acquired from a patient about to undergo the first minimally-invasive native TMVR procedure at the Gates Vascular Institute in Buffalo, NY. A python scripting library, the Vascular Modeling Toolkit (VMTK), was used to segment the 3D geometry of the patient’s cardiac chambers and mitral valve with severe stenosis, calcific in nature. A stereolithographic (STL) mesh was generated and AutoDesk Meshmixer was used to transform the vascular surface into a functioning closed flow loop. A Stratasys Objet 500 Connex3 multi-material printer was used to fabricate the phantom with distinguishable material features of the vasculature and calcified valve. The interventional team performed a mock procedure on the phantom, embedding valve cages in the model and imaging the phantom with a Toshiba Infinix INFX-8000V 5-axis Carm bi-Plane angiography system. Results: After performing the mock-procedure on the cardiac phantom, the cardiologists optimized their transapical surgical approach. The mitral valve stenosis and calcification were clearly visible. The phantom was used to inform the sizing of the valve to be implanted. Conclusion: With advances in image processing and 3D printing technology, it is possible to create realistic patientspecific phantoms which can act as a guide for the interventional team. Using 3D printed phantoms as a valve sizing method shows potential as a more informative technique than typical CTA reconstruction alone.

Paper Details

Date Published: 5 April 2016
PDF: 16 pages
Proc. SPIE 9789, Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations, 978908 (5 April 2016); doi: 10.1117/12.2216952
Show Author Affiliations
Richard L. Izzo, The Jacobs Institute (United States)
Univ. at Buffalo (United States)
Ryan P. O'Hara, The Jacobs Institute (United States)
Univ. at Buffalo (United States)
Vijay Iyer, The Jacobs Institute (United States)
Univ. at Buffalo (United States)
Rose Hansen, Univ. at Buffalo (United States)
Karen M. Meess, The Jacobs Institute (United States)
Univ. at Buffalo (United States)
S.V. Setlur Nagesh, Toshiba Stroke and Vascular Research Ctr. (United States)
Stephen Rudin, Toshiba Stroke and Vascular Research Ctr. (United States)
Adnan H. Siddiqui, The Jacobs Institute (United States)
Univ. at Buffalo Neurosurgery (United States)
Michael Springer, The Jacobs Institute (United States)
Ciprian N. Ionita, Univ. at Buffalo (United States)
Toshiba Stroke and Vascular Research Ctr. (United States)


Published in SPIE Proceedings Vol. 9789:
Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations
Jianguo Zhang; Tessa S. Cook, Editor(s)

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