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Yalman A, Jafari A, Léger É, Mastroianni M, Teimouri K, Savoji H, Collins DL, Kadem L, Xiao Y. Design, manufacturing, and multi-modal imaging of stereolithography 3D printed flexible intracranial aneurysm phantoms. Med Phys 2025; 52:742-749. [PMID: 39546636 PMCID: PMC11788251 DOI: 10.1002/mp.17518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 09/20/2024] [Accepted: 10/27/2024] [Indexed: 11/17/2024] Open
Abstract
BACKGROUND Physical vascular phantoms are instrumental in studying intracranial aneurysms and testing relevant imaging tools and training systems to provide improved clinical care. Current vascular phantom production methods have major limitations in capturing the biophysical and morphological characteristics of intracranial aneurysms with good fidelity and multi-modal imaging capacity. With stereolithography (SLA) 3D printing technology becoming more accessible, newer flexible and transparent printing materials with higher precision controls open the door for improving the efficiency and quality of producing anthropomorphic vascular phantoms but have rarely been explored for the application. PURPOSE This technical note intends to report the feasibility of using SLA 3D printing technology to manufacture flexible intracranial aneurysm phantoms with similar scales to the real anatomy, as well as their capacity for multi-modal flow imaging and analysis, including ultrasound flow imaging, high-speed filming, and particle image velocimetry analysis. METHODS We designed and 3D-printed two intracranial aneurysm phantoms with an SLA 3D printer using Formlabs Elastic 50A resin. By using a micropump to introduce cyclical flows in the phantoms, we first employed conventional Doppler and vector flow ultrasonography to observe and measure different fluidic properties. Then, a high-speed camera was used to record particles flowing within the phantom, and we further conducted a particle image velocimetry analysis, including the distribution of mean 2D velocity vectors, average velocity magnitudes, and the mean vorticity fields in the phantom for the high-speed imaging data. RESULTS We successfully 3D-printed flexible intracranial aneurysm phantoms with similar dimensions to the real anatomy. Additionally, we validated the phantoms' ability to allow visualization, measurement, and analysis of flow dynamics based on both real-time ultrasound and optical imaging. CONCLUSIONS Our proof-of-concept study illustrates that SLA 3D printing using commercial elastic resins can significantly contribute towards facilitating the fabrication of flexible intracranial aneurysms phantoms for training, research, and preoperative planning.
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Affiliation(s)
- Alain Yalman
- Department of BiologyConcordia UniversityMontréalQuébecCanada
| | - Arman Jafari
- Institute of Biomedical EngineeringDepartment of Pharmacology and PhysiologyFaculty of MedicineUniversity of MontrealMontréalQuébecCanada
- Research CentreSainte‐Justine University HospitalMontréalQuébecCanada
- Montréal TransMedTech InstituteMontréalQuébecCanada
| | - Étienne Léger
- McConnell Brain Imaging CenterMontréal Neurological InstituteMcGill UniversityMontréalQuébecCanada
| | | | - Kowsar Teimouri
- Department of MechanicalIndustrial and Aerospace EngineeringConcordia UniversityMontréalQuébecCanada
| | - Houman Savoji
- Institute of Biomedical EngineeringDepartment of Pharmacology and PhysiologyFaculty of MedicineUniversity of MontrealMontréalQuébecCanada
- Research CentreSainte‐Justine University HospitalMontréalQuébecCanada
- Montréal TransMedTech InstituteMontréalQuébecCanada
| | - D. Louis Collins
- McConnell Brain Imaging CenterMontréal Neurological InstituteMcGill UniversityMontréalQuébecCanada
| | - Lyes Kadem
- Department of MechanicalIndustrial and Aerospace EngineeringConcordia UniversityMontréalQuébecCanada
| | - Yiming Xiao
- Department of Computer Science and Software EngineeringConcordia UniversityMontréalQuébecCanada
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Shiravand A, Richter K, Willmann P, Eulzer P, Lawonn K, Hundertmark A, Cattaneo G. Fabrication, characterization and numerical validation of a novel thin-wall hydrogel vessel model for cardiovascular research based on a patient-specific stenotic carotid artery bifurcation. Sci Rep 2024; 14:16301. [PMID: 39009618 PMCID: PMC11251049 DOI: 10.1038/s41598-024-66777-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 07/03/2024] [Indexed: 07/17/2024] Open
Abstract
In vitro vascular models, primarily made of silicone, have been utilized for decades for studying hemodynamics and supporting the development of implants for catheter-based treatments of diseases such as stenoses and aneurysms. Hydrogels have emerged as prominent materials in tissue-engineering applications, offering distinct advantages over silicone models for fabricating vascular models owing to their viscoelasticity, low friction, and tunable mechanical properties. Our study evaluated the feasibility of fabricating thin-wall, anatomical vessel models made of polyvinyl alcohol hydrogel (PVA-H) based on a patient-specific carotid artery bifurcation using a combination of 3D printing and molding technologies. The model's geometry, elastic modulus, volumetric compliance, and diameter distensibility were characterized experimentally and numerically simulated. Moreover, a comparison with silicone models with the same anatomy was performed. A PVA-H vessel model was integrated into a mock circulatory loop for a preliminary ultrasound-based assessment of fluid dynamics. The vascular model's geometry was successfully replicated, and the elastic moduli amounted to 0.31 ± 0.007 MPa and 0.29 ± 0.007 MPa for PVA-H and silicone, respectively. Both materials exhibited nearly identical volumetric compliance (0.346 and 0.342% mmHg-1), which was higher compared to numerical simulation (0.248 and 0.290% mmHg-1). The diameter distensibility ranged from 0.09 to 0.20% mmHg-1 in the experiments and between 0.10 and 0.18% mmHg-1 in the numerical model at different positions along the vessel model, highlighting the influence of vessel geometry on local deformation. In conclusion, our study presents a method and provides insights into the manufacturing and mechanical characterization of hydrogel-based thin-wall vessel models, potentially allowing for a combination of fluid dynamics and tissue engineering studies in future cardio- and neurovascular research.
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Affiliation(s)
- Ashkan Shiravand
- Institute of Biomedical Engineering, University of Stuttgart, Stuttgart, Germany.
| | - Kevin Richter
- Faculty of Natural and Environmental Sciences, University of Kaiserslautern-Landau, Landau, Germany
| | - Pia Willmann
- Institute of Biomedical Engineering, University of Stuttgart, Stuttgart, Germany
| | - Pepe Eulzer
- Faculty of Mathematics and Computer Science, University of Jena, Jena, Germany
| | - Kai Lawonn
- Faculty of Mathematics and Computer Science, University of Jena, Jena, Germany
| | - Anna Hundertmark
- Faculty of Natural and Environmental Sciences, University of Kaiserslautern-Landau, Landau, Germany
| | - Giorgio Cattaneo
- Institute of Biomedical Engineering, University of Stuttgart, Stuttgart, Germany
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Jeong JH, Lee B, Hong J, Yang TH, Park YH. Reproduction of human blood pressure waveform using physiology-based cardiovascular simulator. Sci Rep 2023; 13:7856. [PMID: 37188872 DOI: 10.1038/s41598-023-35055-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 05/11/2023] [Indexed: 05/17/2023] Open
Abstract
This study presents a cardiovascular simulator that mimics the human cardiovascular system's physiological structure and properties to reproduce the human blood pressure waveform. Systolic, diastolic blood pressures, and its waveform are key indicators of cardiovascular health. The blood pressure waveform is closely related to the pulse wave velocity and the overlap of the forward and reflected pressure waves. The presented cardiovascular simulator includes an artificial aorta made of biomimetic silicone. The artificial aorta has the same shape and stiffness as the human standard and is encased with a compliance chamber. The compliance chamber prevents distortion of the blood pressure waveform from strain-softening by applying extravascular pressure. The blood pressure waveform reproduced by the simulator has a pressure range of 80-120 mmHg, a pulse wave velocity of 6.58 m/s, and an augmentation index of 13.3%. These values are in the middle of the human standard range, and the reproduced blood pressure waveform is similar to that of humans. The errors from the human standard values are less than 1 mmHg for blood pressure, 0.05 m/s for pulse wave velocity, and 3% for augmentation index. The changes in blood pressure waveform according to cardiovascular parameters, including heart rate, stroke volume, and peripheral resistance, were evaluated. The same pressure ranges and trends as in humans were observed for systolic and diastolic blood pressures according to cardiovascular parameters.
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Affiliation(s)
- Jae-Hak Jeong
- Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea
| | - Bomi Lee
- Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea
| | - Junki Hong
- Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea
| | - Tae-Heon Yang
- Department of Electronic Engineering, Korea National University of Transportation, Chungju-si, Republic of Korea
| | - Yong-Hwa Park
- Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.
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Bisighini B, Di Giovanni P, Scerrati A, Trovalusci F, Vesco S. Fabrication of Compliant and Transparent Hollow Cerebral Vascular Phantoms for In Vitro Studies Using 3D Printing and Spin-Dip Coating. MATERIALS (BASEL, SWITZERLAND) 2022; 16:166. [PMID: 36614505 PMCID: PMC9821401 DOI: 10.3390/ma16010166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 12/12/2022] [Accepted: 12/20/2022] [Indexed: 06/17/2023]
Abstract
Endovascular surgery through flow diverters and coils is increasingly used for the minimally invasive treatment of intracranial aneurysms. To study the effectiveness of these devices, in vitro tests are performed in which synthetic vascular phantoms are typically used to reproduce in vivo conditions. In this paper, we propose a manufacturing process to obtain compliant and transparent hollow vessel replicas to assess the mechanical behaviour of endovascular devices and perform flow measurements. The vessel models were obtained in three main steps. First, a mould was 3D-printed in a water-soluble material; two techniques, fusion deposition modelling and stereolithography, were compared for this purpose. Then, the mould was covered with a thin layer of silicone through spin-dip coating, and finally, when the silicone layer solidified, it was dissolved in a hot water bath. The final models were tested in terms of the quality of the final results, the mechanical properties of the silicone, thickness uniformity, and transparency properties. The proposed approach makes it possible to produce models of different sizes and complexity whose transparency and mechanical properties are suitable for in vitro experiments. Its applicability is demonstrated through idealised and patient-specific cases.
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Affiliation(s)
- Beatrice Bisighini
- Mines Saint-Etienne, Université Lyon, Université Jean Monnet, Etablissement Français du Sang, INSERM, U1059 Sainbiose, Centre CIS, F-42023 Saint-Etienne, France
- Department of Enterprise Engineering, University Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy
- Predisurge, 10 Rue Marius Patinaud, Grande Usine Creative 2, 42000 Saint-Etienne, France
| | | | - Alba Scerrati
- Department of Translational Medicine, University of Ferrara, Via Luigi Borsari 46, 44121 Ferrara, Italy
| | - Federica Trovalusci
- Department of Enterprise Engineering, University Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy
| | - Silvia Vesco
- Department of Enterprise Engineering, University Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy
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Tous C, Li N, Dimov IP, Kadoury S, Tang A, Häfeli UO, Nosrati Z, Saatchi K, Moran G, Couch MJ, Martel S, Lessard S, Soulez G. Navigation of Microrobots by MRI: Impact of Gravitational, Friction and Thrust Forces on Steering Success. Ann Biomed Eng 2021; 49:3724-3736. [PMID: 34622313 DOI: 10.1007/s10439-021-02865-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 09/07/2021] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Magnetic resonance navigation (MRN) uses MRI gradients to steer magnetic drug-eluting beads (MDEBs) across vascular bifurcations. We aim to experimentally verify our theoretical forces balance model (gravitational, thrust, friction, buoyant and gradient steering forces) to improve the MRN targeted success rate. METHOD A single-bifurcation phantom (3 mm inner diameter) made of poly-vinyl alcohol was connected to a cardiac pump at 0.8 mL/s, 60 beats/minutes with a glycerol solution to reproduce the viscosity of blood. MDEB aggregates (25 ± 6 particles, 200 [Formula: see text]) were released into the main branch through a 5F catheter. The phantom was tilted horizontally from - 10° to +25° to evaluate the MRN performance. RESULTS The gravitational force was equivalent to 71.85 mT/m in a 3T MRI. The gradient duration and amplitude had a power relationship (amplitude=78.717 [Formula: see text]). It was possible, in 15° elevated vascular branches, to steer 87% of injected aggregates if two MRI gradients are simultaneously activated ([Formula: see text] = +26.5 mT/m, [Formula: see text]= +18 mT/m for 57% duty cycle), the flow velocity was minimized to 8 cm/s and a residual pulsatile flow to minimize the force of friction. CONCLUSION Our experimental model can determine the maximum elevation angle MRN can perform in a single-bifurcation phantom simulating in vivo conditions.
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Affiliation(s)
- Cyril Tous
- Centre de recherche du Centre hospitalier de l, Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montreal, QC, H2X 0A9, Canada.,Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada
| | - Ning Li
- Centre de recherche du Centre hospitalier de l, Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montreal, QC, H2X 0A9, Canada.,Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada
| | - Ivan P Dimov
- Centre de recherche du Centre hospitalier de l, Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montreal, QC, H2X 0A9, Canada
| | - Samuel Kadoury
- Polytechnique Montréal, 2500 Chemin de Polytechnique, 28, Montreal, QC, H3T 1J4, Canada
| | - An Tang
- Centre de recherche du Centre hospitalier de l, Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montreal, QC, H2X 0A9, Canada.,Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada
| | - Urs O Häfeli
- University of British Columbia, 2405 Westbrook Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Zeynab Nosrati
- University of British Columbia, 2405 Westbrook Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Katayoun Saatchi
- University of British Columbia, 2405 Westbrook Mall, Vancouver, BC, V6T 1Z3, Canada
| | | | | | - Sylvain Martel
- Polytechnique Montréal, 2500 Chemin de Polytechnique, 28, Montreal, QC, H3T 1J4, Canada
| | - Simon Lessard
- Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada.,École de Technologie Supérieur, 1100 Rue Notre-Dame O, Montreal, QC, H3C 1K3, Canada
| | - Gilles Soulez
- Centre de recherche du Centre hospitalier de l, Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montreal, QC, H2X 0A9, Canada. .,Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada.
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6
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A Brush-Spin-Coating Method for Fabricating In Vitro Patient-Specific Vascular Models by Coupling 3D-Printing. Cardiovasc Eng Technol 2020; 12:200-214. [PMID: 33263929 DOI: 10.1007/s13239-020-00504-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 11/18/2020] [Indexed: 12/31/2022]
Abstract
PURPOSE In vitro patient-specific flexible vascular models are helpful for understanding the haemodynamic changes before and after endovascular treatment and for effective training of neuroendovascular interventionalists. However, it is difficult to fabricate models of overall unified or controllable thickness using existing manufacturing methods. In this study, we developed an improved and easily implemented method by combining 3D printing and brush-spin-coating processes to produce a transparent silicone model of uniform or varied thickness. METHODS First, a water-soluble inner-skeleton model, based on clinical data, was printed on a 3D printer. The skeleton model was subsequently fixed in a single-axis-rotation machine to enable continuous coating of silicone, the thickness of which was manually controlled by adsorption and removal of excess silicone in a brush-spinning operation. After the silicone layer was solidified, the inner skeleton was further dissolved in a hot water bath, affording a transparent vascular model with real geometry. To verify the controllability of the coating thickness by using this method, a straight tube, an idealised aneurysm model, a patient-specific aortic arch model, and an abdominal aortic aneurysm model were manufactured. RESULTS The different thicknesses of the manufactured tubes could be well controlled, with the relative standard deviations being 5.6 and 8.1% for the straight and aneurysm tubes, respectively. Despite of the diameter changing from 33 to 20 mm in the patient-specific aorta, the thickness of the fabricated aortic model remains almost the same along the longitudinal direction with a lower standard deviation of 3.1%. In the more complex patient-specific abdominal aneurysm model, varied thicknesses were realized to mimic the measured data from the CT images, where the middle of the aneurysm was with 2 mm and abdominal aorta as well as the iliac arteries had the normal thickness of 2.3 mm. CONCLUSION Through the brush-spin-coating method, models of different sizes and complexity with prescribed thickness can be manufactured, which will be helpful for developing surgical treatment strategies or training neuroendovascular interventionalists.
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Ho WH, Tshimanga IJ, Ngoepe MN, Jermy MC, Geoghegan PH. Evaluation of a Desktop 3D Printed Rigid Refractive-Indexed-Matched Flow Phantom for PIV Measurements on Cerebral Aneurysms. Cardiovasc Eng Technol 2019; 11:14-23. [PMID: 31820351 PMCID: PMC7002330 DOI: 10.1007/s13239-019-00444-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Accepted: 11/20/2019] [Indexed: 12/24/2022]
Abstract
PURPOSE Fabrication of a suitable flow model or phantom is critical to the study of biomedical fluid dynamics using optical flow visualization and measurement methods. The main difficulties arise from the optical properties of the model material, accuracy of the geometry and ease of fabrication. METHODS Conventionally an investment casting method has been used, but recently advancements in additive manufacturing techniques such as 3D printing have allowed the flow model to be printed directly with minimal post-processing steps. This study presents results of an investigation into the feasibility of fabrication of such models suitable for particle image velocimetry (PIV) using a common 3D printing Stereolithography process and photopolymer resin. RESULTS An idealised geometry of a cerebral aneurysm was printed to demonstrate its applicability for PIV experimentation. The material was shown to have a refractive index of 1.51, which can be refractive matched with a mixture of de-ionised water with ammonium thiocyanate (NH4SCN). The images were of a quality that after applying common PIV pre-processing techniques and a PIV cross-correlation algorithm, the results produced were consistent within the aneurysm when compared to previous studies. CONCLUSIONS This study presents an alternative low-cost option for 3D printing of a flow phantom suitable for flow visualization simulations. The use of 3D printed flow phantoms reduces the complexity, time and effort required compared to conventional investment casting methods by removing the necessity of a multi-part process required with investment casting techniques.
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Affiliation(s)
- W H Ho
- Department of Mechanical and Industrial Engineering, University of South Africa, Johannesburg, South Africa.,School of Mechanical Aerospace and Industrial Engineering, University of the Witwatersrand, Johannesburg, South Africa
| | - I J Tshimanga
- Department of Mechanical and Industrial Engineering, University of South Africa, Johannesburg, South Africa
| | - M N Ngoepe
- Department of Mechanical Engineering, University of Cape Town, Cape Town, South Africa
| | - M C Jermy
- Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
| | - P H Geoghegan
- Department of Mechanical and Industrial Engineering, University of South Africa, Johannesburg, South Africa. .,Biomedical Engineering, School of Life and Health Sciences, Aston University, Birmingham, England.
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Falk KL, Medero R, Roldán-Alzate A. Fabrication of Low-Cost Patient-Specific Vascular Models for Particle Image Velocimetry. Cardiovasc Eng Technol 2019; 10:500-507. [PMID: 31098919 PMCID: PMC7877060 DOI: 10.1007/s13239-019-00417-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 05/06/2019] [Indexed: 11/24/2022]
Abstract
PURPOSE Particle image velocimetry (PIV), an in vitro experimentation technique that optically measures velocity components to analyze fluid velocity fields, has become increasingly popular to study flow dynamics in various vascular territories. However, it can be difficult and expensive to create patient-specific clear models for PIV due to the importance of refractive index matching of the model and the fluid. We aim to implement and test the use of poly-vinyl alcohol (PVA) in a lost-core casting technique to create low-cost, patient-specific models for PIV. METHODS Anonymized patient vascular anatomies were segmented and processed in Mimics/3Matic to create patient-specific cores from 3D digital subtraction angiographies. The cores were 3D-printed with PVA and post-processed with a 80:20 water:glue mixture to smooth the surface. Two silicones, Sylgard 184 and Solaris, were used to encapsulate the model and the PVA core was dissolved using warm water. Computed tomography scans were used to evaluate geometric accuracy using circumferences and surface differences in the model. RESULTS Mean geometric differences in circumference along the inlet centerline and the mean surface difference in the aneurysm between the final Silicone Model and the desired STL Print geometry were statistically insignificant (0.6 mm, 95% CI [- 1.4, 2.8] and 0.3 mm 95% CI [- 0.1, 0.7], respectively). Particle illumination within each model was successful. The cost of one 10 cm × 10 cm × 5 cm model was $69. CONCLUSION This technique was successful to implement and test the use of PVA in a lost-core casting technique to create low-cost, patient-specific in vitro models for PIV experimentation.
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Affiliation(s)
- Katrina L Falk
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
- Department of Radiology, WIMR, University of Wisconsin-Madison, 2476, 1111 Highland Ave, Madison, WI, 53705, USA
| | - Rafael Medero
- Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA
- Department of Radiology, WIMR, University of Wisconsin-Madison, 2476, 1111 Highland Ave, Madison, WI, 53705, USA
| | - Alejandro Roldán-Alzate
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
- Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
- Department of Radiology, WIMR, University of Wisconsin-Madison, 2476, 1111 Highland Ave, Madison, WI, 53705, USA.
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Chepelev L, Wake N, Ryan J, Althobaity W, Gupta A, Arribas E, Santiago L, Ballard DH, Wang KC, Weadock W, Ionita CN, Mitsouras D, Morris J, Matsumoto J, Christensen A, Liacouras P, Rybicki FJ, Sheikh A. Radiological Society of North America (RSNA) 3D printing Special Interest Group (SIG): guidelines for medical 3D printing and appropriateness for clinical scenarios. 3D Print Med 2018; 4:11. [PMID: 30649688 PMCID: PMC6251945 DOI: 10.1186/s41205-018-0030-y] [Citation(s) in RCA: 144] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 09/19/2018] [Indexed: 02/08/2023] Open
Abstract
Medical three-dimensional (3D) printing has expanded dramatically over the past three decades with growth in both facility adoption and the variety of medical applications. Consideration for each step required to create accurate 3D printed models from medical imaging data impacts patient care and management. In this paper, a writing group representing the Radiological Society of North America Special Interest Group on 3D Printing (SIG) provides recommendations that have been vetted and voted on by the SIG active membership. This body of work includes appropriate clinical use of anatomic models 3D printed for diagnostic use in the care of patients with specific medical conditions. The recommendations provide guidance for approaches and tools in medical 3D printing, from image acquisition, segmentation of the desired anatomy intended for 3D printing, creation of a 3D-printable model, and post-processing of 3D printed anatomic models for patient care.
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Affiliation(s)
- Leonid Chepelev
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Nicole Wake
- Center for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY USA
- Sackler Institute of Graduate Biomedical Sciences, NYU School of Medicine, New York, NY USA
| | | | - Waleed Althobaity
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Ashish Gupta
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Elsa Arribas
- Department of Diagnostic Radiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Lumarie Santiago
- Department of Diagnostic Radiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - David H Ballard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO USA
| | - Kenneth C Wang
- Baltimore VA Medical Center, University of Maryland Medical Center, Baltimore, MD USA
| | - William Weadock
- Department of Radiology and Frankel Cardiovascular Center, University of Michigan, Ann Arbor, MI USA
| | - Ciprian N Ionita
- Department of Neurosurgery, State University of New York Buffalo, Buffalo, NY USA
| | - Dimitrios Mitsouras
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | | | | | - Andy Christensen
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Peter Liacouras
- 3D Medical Applications Center, Walter Reed National Military Medical Center, Washington, DC, USA
| | - Frank J Rybicki
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Adnan Sheikh
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
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Hodgdon T, Danrad R, Patel MJ, Smith SE, Richardson ML, Ballard DH, Ali S, Trace AP, DeBenedectis CM, Zygmont ME, Lenchik L, Decker SJ. Logistics of Three-dimensional Printing: Primer for Radiologists. Acad Radiol 2018; 25:40-51. [PMID: 29030283 DOI: 10.1016/j.acra.2017.08.003] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Revised: 08/31/2017] [Accepted: 08/31/2017] [Indexed: 02/07/2023]
Abstract
The Association of University Radiologists Radiology Research Alliance Task Force on three-dimensional (3D) printing presents a review of the logistic considerations for establishing a clinical service using this new technology, specifically focused on implications for radiology. Specific topics include printer selection for 3D printing, software selection, creating a 3D model for printing, providing a 3D printing service, research directions, and opportunities for radiologists to be involved in 3D printing. A thorough understanding of the technology and its capabilities is necessary as the field of 3D printing continues to grow. Radiologists are in the unique position to guide this emerging technology and its use in the clinical arena.
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Mitsouras D, Liacouras P, Imanzadeh A, Giannopoulos AA, Cai T, Kumamaru KK, George E, Wake N, Caterson EJ, Pomahac B, Ho VB, Grant GT, Rybicki FJ. Medical 3D Printing for the Radiologist. Radiographics 2016; 35:1965-88. [PMID: 26562233 DOI: 10.1148/rg.2015140320] [Citation(s) in RCA: 377] [Impact Index Per Article: 41.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
While use of advanced visualization in radiology is instrumental in diagnosis and communication with referring clinicians, there is an unmet need to render Digital Imaging and Communications in Medicine (DICOM) images as three-dimensional (3D) printed models capable of providing both tactile feedback and tangible depth information about anatomic and pathologic states. Three-dimensional printed models, already entrenched in the nonmedical sciences, are rapidly being embraced in medicine as well as in the lay community. Incorporating 3D printing from images generated and interpreted by radiologists presents particular challenges, including training, materials and equipment, and guidelines. The overall costs of a 3D printing laboratory must be balanced by the clinical benefits. It is expected that the number of 3D-printed models generated from DICOM images for planning interventions and fabricating implants will grow exponentially. Radiologists should at a minimum be familiar with 3D printing as it relates to their field, including types of 3D printing technologies and materials used to create 3D-printed anatomic models, published applications of models to date, and clinical benefits in radiology. Online supplemental material is available for this article.
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Affiliation(s)
- Dimitris Mitsouras
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Peter Liacouras
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Amir Imanzadeh
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Andreas A Giannopoulos
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Tianrun Cai
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Kanako K Kumamaru
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Elizabeth George
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Nicole Wake
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Edward J Caterson
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Bohdan Pomahac
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Vincent B Ho
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Gerald T Grant
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
| | - Frank J Rybicki
- From the Applied Imaging Science Laboratory, Department of Radiology (D.M., A.I., A.A.G., T.C., K.K.K., E.G., F.J.R.), and Division of Plastic Surgery, Department of Surgery (E.J.C., B.P.), Brigham and Women's Hospital, Boston, Mass; 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (P.L., V.B.H., G.T.G.); Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, NY (N.W.); and Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY (N.W.)
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