Cardiac phantoms have been employed as testing and validating tools for newly developed techniques focused on sampling and reconstruction strategies. In this work, a 3D printed cardiac phantom was built to mimic the human heart. This was achieved through the integration of a peristaltic pump. Results depict the structural and functional behavior of the cardiac phantom, based on MR imaging on 1.5T scanners from 2 vendors. Ongoing work involves implementing the post-processing pipeline to correlate UI parameters with those derived from images. Future work focuses on employing PVA for preparing the heart model employing the 3D printing heart mold.
Cardiac Phantom setup: The setup consisted of a laptop, peristaltic pump (Ravel Hiteks Pvt Ltd) and a 3D printed cardiac model3. The laptop was connected to the pump and to the model through silicon pipes as shown in figure 1. One end of the pipe was connected to aortic arc and other end of the pipe was connected to left pulmonary artery. The laptop interfaced with the pump through a designed User Interface developed in Matlab (The Mathworks Inc). The UI inputs were clinically relevant parameters such as beats per minute (BPM), stroke volume (SV), cardiac output (CO) and acquisition time. These determined the pump parameters of flow rate, forward time, reverse time and number of cycles. UI outputs included BPM, volume, aortic flow, Left ventricular volume, Myocardial thickness and stress/strain as determined by MR images. The peristaltic pump was controlled to mimic the systolic and diastolic cycles. The calibration equations employed between the input and pump parameters are as shown in the equations below:
$$\alpha = \frac{60}{BPM}$$
$$pump forward time=\left(\frac{\alpha}{2}\right)\times 1000$$
The cardiac heart model was printed with ninjaflex material with the extruder temperature maintained at 2100c and base plate temperature at 700c from an open source 3D printable model (3). Kapton tape was utilized to cover the bed to maintain the bed temperature. The heart was printed in two halves. The first half included the upper part of the phantom (from aorta to the tricuspid valve). The second half included the lower part of the heart (ventricles to apex of the heart). The two-part printing was performed to remove unnecessary supporting material. Figure 2 shows the two-part phantom and the attached pipes. Any remaining support material of phantom was then scrubbed off. The two halves were attached using waterproof glue and made leak-proof.
1.5T imaging: The 3D printed cardiac phantom was placed in a cylindrical plastic container filled with tap water. The pump was placed in the adjacent room to that of scanner room and scanned on 2 1.5T scanners from 2 different vendors. SSFP sequence was employed for scanning the phantom. The acquisition parameters on the first scanner were: TR/TE=4.0/1.72ms, FA=20, slice thickness=8, matrix size= 256 x 256. The acquisition parameters on second scanner were: TR/TE=50.8/1.4, FA=64, slice thickness=6, matrix size= 192 x 156.
1. This work was supported by Vision Group on Science and Technology (VGST), Govt. of Karnataka, Karnataka Fund for strengthening infrastructure(K-FIST), GRD#333/2015
2. Department of Science and Technology (DST), Govt. of India under the program Technology Systems Development (TSD) for the project “Novel acquisition and reconstruction strategies to accelerate magnetic resonance imaging using compressed sensing”, No: DST/TSG/NTS/2013/100-G.
3. Department of Information Technology (DIT), Govt. of India for the project "Indigenous - Magnetic Resonance Imaging (I-MRI)- A national Mission"
1. M. Ersoy “ A left Ventricular Motion Phantom for cardiac MRI” ISMRM 2011
2. Wissmann, L., Santelli, C., Segars, W. P., & Kozerke, S. (2014). MRXCAT: Realistic numerical phantoms for cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance, 16(1), 6
3. http://doi.org/10.1186/s12968-014-0063-3 3. http://www.thingiverse.com/thing:852939
4. Chikop et al, "A Low cost Cardiac Phantom for Evaluation of Motion and Thermometry " ISMRM 2016