Development of an organ‐specific insert phantom generated using a 3D printer for investigations of cardiac computed tomography protocols

An ideal organ‐specific insert phantom should be able to simulate the anatomical features with appropriate appearances in the resultant computed tomography (CT) images. This study investigated a 3D printing technology to develop a novel and cost‐effective cardiac insert phantom derived from volumetric CT image datasets of anthropomorphic chest phantom.

[1]  G. Rodriguez-Granillo,et al.  Low-dose CT coronary angiography using iterative reconstruction with a 256-slice CT scanner. , 2013, World journal of cardiology.

[2]  A. Tingberg,et al.  Improvements to image quality using hybrid and model-based iterative reconstructions: a phantom study , 2017, Acta radiologica.

[3]  M. McEntee,et al.  Radiation dose and diagnostic image quality associated with iterative reconstruction in coronary CT angiography: A systematic review , 2016, Journal of medical imaging and radiation oncology.

[4]  U. Schoepf,et al.  CT coronary angiography: image quality with sinogram-affirmed iterative reconstruction compared with filtered back-projection. , 2013, Clinical radiology.

[5]  F. Rybicki,et al.  Applications of 3D printing in cardiovascular diseases , 2016, Nature Reviews Cardiology.

[6]  Stephen Rudin,et al.  Challenges and limitations of patient-specific vascular phantom fabrication using 3D Polyjet printing , 2014, Medical Imaging.

[7]  F. Tatsugami,et al.  The effect of adaptive iterative dose reduction on image quality in 320-detector row CT coronary angiography. , 2012, The British journal of radiology.

[8]  Simon Gaisford,et al.  3D scanning and 3D printing as innovative technologies for fabricating personalized topical drug delivery systems. , 2016, Journal of controlled release : official journal of the Controlled Release Society.

[9]  Ehsan Samei,et al.  Design of anthropomorphic textured phantoms for CT performance evaluation , 2014, Medical Imaging.

[10]  Michael J Thali,et al.  Getting in touch--3D printing in forensic imaging. , 2011, Forensic science international.

[11]  M. Prokop,et al.  Computed Tomography Radiation Dose Reduction: Effect of Different Iterative Reconstruction Algorithms on Image Quality , 2014, Journal of computer assisted tomography.

[12]  H. Barrett,et al.  3D printing in X-ray and Gamma-Ray Imaging: A novel method for fabricating high-density imaging apertures. , 2011, Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment.

[13]  J. Ross,et al.  The shape of things to come: 3D printing in medicine. , 2014, JAMA.

[14]  Allen J. Taylor,et al.  Effect of hybrid iterative reconstruction technique on quantitative and qualitative image analysis at 256-slice prospective gating cardiac CT , 2012, European Radiology.

[15]  Shuai Leng,et al.  Construction of realistic liver phantoms from patient images using 3D printer and its application in CT image quality assessment , 2015, Medical Imaging.

[16]  Shuai Leng,et al.  Anatomic modeling using 3D printing: quality assurance and optimization , 2017, 3D Printing in Medicine.

[17]  Nico Mollet,et al.  Intravenous contrast material administration at 16-detector row helical CT coronary angiography: test bolus versus bolus-tracking technique. , 2004, Radiology.

[18]  Les A. Piegl,et al.  Ten challenges in 3D printing , 2015, Engineering with Computers.

[19]  Ehsan Samei,et al.  Quantum noise properties of CT images with anatomical textured backgrounds across reconstruction algorithms: FBP and SAFIRE. , 2014, Medical physics.

[20]  Tobias A. Fuchs,et al.  Coronary computed tomography angiography with model-based iterative reconstruction using a radiation exposure similar to chest X-ray examination , 2014, European heart journal.

[21]  Jason W Sohn,et al.  Characterization of 3D printing techniques: Toward patient specific quality assurance spine-shaped phantom for stereotactic body radiation therapy , 2017, PloS one.

[22]  Per Capita,et al.  About the authors , 1995, Machine Vision and Applications.

[23]  Eun-Ah Park,et al.  Iterative reconstruction of dual-source coronary CT angiography: assessment of image quality and radiation dose , 2012, The International Journal of Cardiovascular Imaging.

[24]  R. Frye,et al.  A reporting system on patients evaluated for coronary artery disease. Report of the Ad Hoc Committee for Grading of Coronary Artery Disease, Council on Cardiovascular Surgery, American Heart Association. , 1975, Circulation.

[25]  H. Shim,et al.  Image quality of Adaptive Iterative Dose Reduction 3D of coronary CT angiography of 640-slice CT: comparison with filtered back-projection , 2013, The International Journal of Cardiovascular Imaging.

[26]  C Ghetti,et al.  CT iterative reconstruction in image space: a phantom study. , 2012, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[27]  Carlo Cavedon,et al.  Dose reduction and image quality in CT examinations using an iterative reconstruction algorithm: a phantom study , 2015 .

[28]  Rao Khan,et al.  Characterizing 3D printing in the fabrication of variable density phantoms for quality assurance of radiotherapy. , 2016, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[29]  Milan Sonka,et al.  3D Slicer as an image computing platform for the Quantitative Imaging Network. , 2012, Magnetic resonance imaging.

[30]  K. Bae,et al.  Intravenous contrast medium administration and scan timing at CT: considerations and approaches. , 2010, Radiology.

[31]  K. Chang,et al.  Optimization of the Scan Protocol for the Reduction of Diaphragmatic Motion Artifacts Depicted on CT Angiography: a Phantom Study Simulating Pediatric Patients with Free Breathing , 2009, Korean journal of radiology.