Rouzbeh R Ahmadian1, Austin P Boyd2, Jeremy D Collins1, James C Carr1, Alex J Barker1, and Michael Markl3
1Radiology, Northwestern University, Chicago, IL, United States, 2Northwestern University, Chicago, IL, United States, 3Radiology & Biomedical Engineering, Northwestern University, Chicago, IL, United States
Synopsis
The advent of 3D printing has opened exciting possibilities for biomedical applications. One of the most intriguing of these possibilities is the ability to use images obtained from radiology scanners (CT or MR) to create 3D models of patient anatomy followed by 3D printing. These models will have all the same geometries of patient anatomy to very high detail. In order to have practical applications, however, these 3D models need to behave similarly to human tissue under standard conditions. Our research utilizes patient-specific 3D printed models in an in vitro fluid dynamic circuit to compare 4D Flow MRI data to that of the patient (in vivo). This direct comparison will allow for validation of the 3D printed model for further biomedical application. Purpose
Manipulation of vessel geometry via
surgical intervention can have unpredictable consequences with regards to blood
flow due to variation in specific patient
anatomy. It is therefore imperative to devise a
methodology to test the efficacy of treatments prior to surgical
intervention. Studies have shown that 4D flow MRI can be used for detailed
in-vivo assessment of vascular hemodynamics with 3D visualization and
quantification of blood flow[1]. Advances in rapid prototyping (3D
printing) have provided the ability to convert 3D imaging data into real
patient-specific replicas quickly and at low cost[2]. This study was conducted to introduce a novel application of 3D printing to develop an in vitro circuit for blood flow studies. Using 4D flow MRI,
hemodynamic characteristics in a 3D printed model of aortic coarctation is
demonstrated and compared to in vivo findings.
Methods
3D contrast-enhanced
(CE) MRA and 4D flow MRI were obtained from a 41-year-old patient with bicuspid aortic valve (BAV) and coarctation of the aorta (AoCo). Flow visualization and quantification was carried out using velocity mapping (Figure 1A-C).
DICOM files containing the MR results were imported into a segmentation
software (Mimics®, Materialise). A digital model of the aorta was generated
based on the 3D CE-MRA data and exported as an STL file (Figure 2A). The model was combined with standardized size 1”
flange fittings at both ends for integration into the flow circuit (Figure
2B). A 1:1 replica made out of Acrylonitrile-Butadiene-Styrene (ABS) was generated using a 3D printer (Makerbot Replicator®
2X, max. build size 246 x 152 x 155 mm3, layer resolution 100µm)
with settings at 0.2mm layer height, 75% infill and five-layer shells (Figure 2C). The model was then combined with vinyl and standard PVC pipe
tubing (Figure 2D) to allow for integration into the experimental setup.
Schematic of the flow circuit is
illustrated in Figure 3. A clinical Ventricular Assist Device-VAD[4],[5] (MEDOS
VAD-Pump-Chamber, MEDOS Medizintechnik AG, Stolberg, Germany; chamber size 60 mL) was used in an MR-compatible
flow circuit placed directly inside a 3 Tesla MR system (TRIO, Siemens, Germany).
Pulsatile VAD flow was generated using pulsatile pneumatic pressure created by
a VAD control unit (MEDOS). A triggering system
controlled via National Instruments® Lab View application was used to simultaneously trigger
the scanner and the VAD for synchronized gating. Fluid in the circuit was tap
water containing 1.08 mmol/L Gadolinium to enhance signal. 4D flow MRI was
conducted with 2mm3 voxel size.
Results
In vivo: velocity streamlines
showed formation of flow jet patterns with a strong right-handed helix in both
the ascending aorta (AAo) and distal to the coarctation (Figure 1B and C).
Quantitative analysis revealed highest velocity through the coarctation (2.35
m/s) as well as a high velocity flow jet along the postero-lateral wall of the
ascending aorta (DAo) secondary to BAV with fusion of right- and left-coronary
leaflets.
In Vitro: 3D printing took approximately 5 hours
for a total cost of $10US. Computer time for segmentation, 3D modeling and
fitting design was about 90 minutes. 4D flow analysis of the in vitro study again included 3D flow visualization using 3D streamlines. In addition, flow quantification
was performed using planes at various sections of the aortic model (Figure 4A).
As demonstrated in Figures 4A-D flow characteristics inside the 3D
printed model showed vortex formation in the arch and helical flow in the Dao,
but no vortex in the AAo. Velocity and flow quantification showed peak velocity
of 0.7 m/s and 155 ml/s respectively.
Discussion
Flow through the 3D printed patient-specific model seems to strongly correlate with the in vivo 4D flow MRI findings. This is indicative of how much blood vessel
geometry can affect hemodynamics. As mentioned before, flow characteristics
inside the 3D printed model had vortex formation in the arch and helical flow
in the Dao, but no vortex in the AAo. We believe the absence of the AAo vortex
is due to lack of BAV in the 3D model. Moreover, the velocities in the 3D
printed model were drastically lower than in vivo findings. We believe this is
due to low stroke volume of the VAD (60ml) compared to an adult human left
ventricle (80-100ml). Lastly, the model itself can be enhanced by substituting
flexible (compliant) plastics for rigid ABS as well as integrating the branches
(subclavian and carotids). The results were encouraging that
combined with 4D flow MRI, 3D printing might have the potential to enable better
in-vitro simulation for intervention planning such as graft repair and testing
of post-operative blood flow characteristics, which may facilitate procedure planning and surgical
simulation.
Acknowledgements
Grant support by NIH K25HL119608, NIH R01HL115828, and the Northwestern University McCormick Engineering Research Catalyst AwardReferences
[1] Markl, M. Schnell, S. Barker, AJ. 4D Flow Imaging: Current Status to Future Clinical Applications. Curr Cardiol Rep. 2014; 16(5): 481.
[2] Marro, A. Bandukwala, T. Mak W. Three-Dimensional Printing and Medical Imaging: A Review of the Methods and Applications. Curr Probl Diagn Radiol. 2015; S0363-0188(15)00112-7.
[3] Allen BD, Baker AJ, Carr JC, Silverberg, RA, Markl M. Time-resolved three-dimensional phase contrast MRI evaluation of bicuspid aortic valve and coarctation of the aorta. Eur Heart J Cardiovasc Imaging. 2013 Apr; 14(4):3999.
[4] Lorenz R, Benk C, Bock J, Stalder AF, Kornik JG, Henning J, Markl M. Closed Circuit MR Compatible Pulsatile Pump System Using a Ventricular Assist Device and Pressure Control Unit. Magn Reson Med. 2012 Jan; 67(1):258-68.
[5] Benk C, Lorenz, R, Beyersdof F, Bock J, Klemm R, Korvink, JG Markl M. J Thorac Cardiovasc Surg 2011 Nov: 142(5):1019-26.