Manufacturing of Ultrasound- and MRI-Compatible Aortic Valves Using 3D Printing for Analysis and Simulation

TY - CHAP

T1 - Manufacturing of Ultrasound- and MRI-Compatible Aortic Valves Using 3D Printing for Analysis and Simulation

AU - Wang, Shu

AU - Gill, Harminder

AU - Wan, Weifeng

AU - Tricker, Helen

AU - Fernandes, Joao Filipe

AU - Noh, Yohan

AU - Uribe, Sergio

AU - Urbina, Jesus

AU - Sotelo, Julio

AU - Rajani, Ronak

AU - Lamata, Pablo

AU - Rhode, Kawal

PY - 2020/1/1

Y1 - 2020/1/1

N2 - Valve-related heart disease affects 27 million patients worldwide and is associated with inflammation, fibrosis and calcification which progressively lead to organ structure change. Aortic stenosis is the most common valve pathology with controversies regarding its optimal management, such as the timing of valve replacement. Therefore, there is emerging demand for analysis and simulation of valves to help researchers and companies to test novel approaches. This paper describes how to build ultrasound- and MRI-compatible aortic valves compliant phantoms with a two-part mold technique using 3D printing. The choice of the molding material, PVA, was based on its material properties and experimentally tested dissolving time. Different diseased valves were then manufactured with ecoflex silicone, a commonly used tissue-mimicking material. The valves were mounted with an external support and tested in physiological flow conditions. Flow images were obtained with both ultrasound and MRI, showing physiologically plausible anatomy and function of the valves. The simplicity of the manufacturing process and low cost of materials should enable an easy adoption of proposed methodology. Future research will focus on the extension of the method to cover a larger anatomical area (e.g. aortic arch) and the use of this phantom to validate the non-invasive assessment of blood pressure differences.

AB - Valve-related heart disease affects 27 million patients worldwide and is associated with inflammation, fibrosis and calcification which progressively lead to organ structure change. Aortic stenosis is the most common valve pathology with controversies regarding its optimal management, such as the timing of valve replacement. Therefore, there is emerging demand for analysis and simulation of valves to help researchers and companies to test novel approaches. This paper describes how to build ultrasound- and MRI-compatible aortic valves compliant phantoms with a two-part mold technique using 3D printing. The choice of the molding material, PVA, was based on its material properties and experimentally tested dissolving time. Different diseased valves were then manufactured with ecoflex silicone, a commonly used tissue-mimicking material. The valves were mounted with an external support and tested in physiological flow conditions. Flow images were obtained with both ultrasound and MRI, showing physiologically plausible anatomy and function of the valves. The simplicity of the manufacturing process and low cost of materials should enable an easy adoption of proposed methodology. Future research will focus on the extension of the method to cover a larger anatomical area (e.g. aortic arch) and the use of this phantom to validate the non-invasive assessment of blood pressure differences.

KW - 3D printing

KW - Aortic stenosis

KW - US-MRI compatible

KW - Valve fabrication

UR - http://www.scopus.com/inward/record.url?scp=85081911361&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-39074-7_2

DO - 10.1007/978-3-030-39074-7_2

M3 - Conference paper

AN - SCOPUS:85081911361

SN - 9783030390730

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 12

EP - 21

BT - Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Revised Selected Papers

A2 - Pop, Mihaela

A2 - Sermesant, Maxime

A2 - Camara, Oscar

A2 - Zhuang, Xiahai

A2 - Li, Shuo

A2 - Young, Alistair

A2 - Mansi, Tommaso

A2 - Suinesiaputra, Avan

PB - SPRINGER

T2 - 10th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2019, held in conjunction with the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2019

Y2 - 13 October 2019 through 13 October 2019

ER -