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Due to the complexity of patient-specific characteristics, only limited information on flow patterns in dissected aortas has been reported in the literature. Leveraging the medical imaging data for patient-specific in vitro modeling can complement the hemodynamic understanding of aortic dissections. We propose a new approach toward fully automated patient-specific type B aortic dissection model fabrication. Our framework uses a novel deep-learning-based segmentation for negative mold manufacturing. Deep-learning architectures were trained on a dataset of 15 unique computed tomography scans of dissection subjects and were blind-tested on 4 sets of scans, which were targeted for fabrication. Following segmentation, the three-dimensional models were created and printed using polyvinyl alcohol. These models were then coated with latex to create compliant patient-specific phantom models. The magnetic resonance imaging (MRI) structural images demonstrate the ability of the introduced manufacturing technique for creating intimal septum walls and tears based on patient-specific anatomy. The in vitro experiments show the fabricated phantoms generate physiologically-accurate pressure results. The deep-learning models also show high similarity metrics between manual segmentation and autosegmentation where Dice metric is as high as 0.86. The proposed deep-learning-based negative mold manufacturing method facilitates an inexpensive, reproducible, and physiologically-accurate patient-specific phantom model fabrication suitable for aortic dissection flow modeling.<\/jats:p>","DOI":"10.1115\/1.4062539","type":"journal-article","created":{"date-parts":[[2023,5,17]],"date-time":"2023-05-17T15:23:46Z","timestamp":1684337026000},"update-policy":"https:\/\/doi.org\/10.1115\/crossmarkpolicy-asme","source":"Crossref","is-referenced-by-count":17,"title":["Framework Development for Patient-Specific Compliant Aortic Dissection Phantom Model Fabrication: Magnetic Resonance Imaging Validation and Deep-Learning Segmentation"],"prefix":"10.1115","volume":"145","author":[{"given":"Arian","family":"Aghilinejad","sequence":"first","affiliation":[{"name":"Department of Aerospace and Mechanical Engineering, University of Southern California , Los Angeles, CA 90089"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heng","family":"Wei","sequence":"additional","affiliation":[{"name":"Department of Aerospace and Mechanical Engineering, University of Southern California , Los Angeles, CA 90089"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Coskun","family":"Bilgi","sequence":"additional","affiliation":[{"name":"Department of Aerospace and Mechanical Engineering, University of Southern California , Los Angeles, CA 90089"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alberto","family":"Paredes","sequence":"additional","affiliation":[{"name":"Department of Aerospace and Mechanical Engineering, University of Southern California , Los Angeles, CA 90089"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"DiBartolomeo","sequence":"additional","affiliation":[{"name":"Division of Vascular Surgery and Endovascular Therapy, Department of Surgery, University of Southern California , Los Angeles, CA 90089"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gregory A.","family":"Magee","sequence":"additional","affiliation":[{"name":"Division of Vascular Surgery and Endovascular Therapy, Department of Surgery, University of Southern California , Los Angeles, CA 90089"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Niema M.","family":"Pahlevan","sequence":"additional","affiliation":[{"name":"Department of Aerospace and Mechanical Engineering, University of Southern California , Los Angeles, CA 90089 ; , Los Angeles, CA 90089"},{"name":"Division of Cardiovascular Medicine, Department of Medicine, University of Southern California , Los Angeles, CA 90089 ; , Los Angeles, CA 90089"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"33","published-online":{"date-parts":[[2023,6,13]]},"reference":[{"issue":"11_suppl_1","key":"2023061316041556200_bib1","first-page":"II-237","article-title":"Differences in Clinical Presentation, Management, and Outcomes of Acute Type a Aortic Dissection in Patients With and Without Previous Cardiac Surgery","volume":"110","year":"2004","journal-title":"Circulation"},{"issue":"4","key":"2023061316041556200_bib2","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1016\/j.jacc.2003.08.054","article-title":"Characterizing the Young Patient With Aortic Dissection: Results From the International Registry of Aortic Dissection (IRAD)","volume":"43","year":"2004","journal-title":"J. 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