@inproceedings{1a635c72f36a4cfc8221d4db65536479,
title = "Challenges and limitations of patient specific mitral valve 3D-printing",
abstract = "Purpose: 3D-printing of patient-specific phantoms such as the mitral valve (MV) is challenging due to inability of current imaging systems to reconstruct fine moving features and 3D printing constraints. We investigated methods to 3D-print MV structures using ex-vivo micro-CT. Materials and Methods: A dissected porcine MV was imaged using micro-CT in diastole, using a special fixation holder. The holder design was based on a patient ECG gated cardiac CT scan using as reference points the papillary muscles and annulus. Next the micro-CT volume was segmented and 3D-printed in various elastic materials. We tested different postprocessing techniques for support material removal and surface coatings to preserve the MV integrity. To test the error a Cloud Comparison of the porcine valve-mesh file and the valve-mesh file from the patient ECG gated cardiac CT scan was performed. Results: Best results for the 3D-printed models were achieved using TangoPlus poly-jet material with a Objet Eden printer. The error computation yielded a 2.6mm deviation-distance between the two aligned valves indicating adequate alignment. The post-processing methods for support removal were challenging and required 24+ hours sample-emersion in slow agitating sodium hydroxide baths. Conclusions: The most challenging part for MV manufacturing is 3D volume acquisition and the post-printing methods during support cleaning. We developed methods to circumvent both, the imaging and the 3D-printing challenges and to ensure that the final phantom includes the fine chordae and valve geometry. Using these solutions, we were able to create complete MV structures which could benefit medical research and device testing.",
keywords = "3D Printing, Chordae Tendineae, CT, Micro-CT, Mitral Valve",
author = "Senko, \{Jillian L.\} and Podgorsak, \{Alexander R.\} and Allman, \{Ariana B.\} and Rava, \{Ryan A.\} and \{Shiraz Bhurwani\}, \{Mohammad Mahdi\} and Vijay Iyer and Stephen Rudin and Ionita, \{Ciprian N.\}",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications ; Conference date: 16-02-2020 Through 17-02-2020",
year = "2020",
doi = "10.1117/12.2549140",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Po-Hao Chen and Deserno, \{Thomas M.\}",
booktitle = "Medical Imaging 2020",
address = "United States",
}