Technical note: Controlling the attenuation of 3D-printed physical phantoms for computed tomography with a single material.
3D printing
computed tomography
physical phantom
Journal
Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746
Informations de publication
Date de publication:
Apr 2022
Apr 2022
Historique:
revised:
10
01
2022
received:
22
05
2021
accepted:
16
01
2022
pubmed:
23
2
2022
medline:
14
4
2022
entrez:
22
2
2022
Statut:
ppublish
Résumé
The purpose of this work was to characterize and improve the ability of fused filament fabrication to create anthropomorphic physical phantoms for CT research. Specifically, we sought to develop the ability to create multiple levels of X-ray attenuation with a single material. CT images of 3D printed cylinders with different infill angles and printing patterns were assessed by comparing their 2D noise power spectra to determine the conditions that produced minimal and uniform noise. A backfilling approach in which additional polymer was extruded into an existing 3D printed background layer was developed to create multiple levels of image contrast. A print with nine infill angles and a rectilinear infill pattern was found to have the best uniformity, but the printed objects were not as uniform as a commercial phantom. An HU dynamic range of 600 was achieved by changing the infill percentage from 40% to 100%. The backfilling technique enabled control of up to eight levels of contrast within one object across a range of 200 HU, similar to the range of soft tissue. A contrast detail phantom with six levels of contrast and an anthropomorphic liver phantom with four levels of contrast were printed with a single material. This work improves the uniformity and levels of contrast that can be achieved with fused filament fabrication, thereby enabling researchers to easily create more detailed physical phantoms, including realistic, anthropomorphic textures.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2582-2589Subventions
Organisme : NIBIB NIH HHS
ID : R21 EB025549
Pays : United States
Organisme : NIH/NIBIB
ID : R21EB025549
Informations de copyright
© 2022 American Association of Physicists in Medicine.
Références
Tepper SJ. Computed tomography: an increasing source of radiation exposure - commentary. Headache. 2008;48:657.
Robinson D. The phantoms of medical and health physics. Med Phys. 2016;43:5264-5264.
Segars WP, Mahesh M, Beck TJ, Frey EC, Tsui BMW. Realistic CT simulation using the 4D XCAT phantom. Med Phys. 2008;35:3800-3808.
Abadi E, Segars WP, Tsui BMW, et al. Virtual clinical trials in medical imaging: a review. J Med Imaging. 2020;7:1-40.
Filippou V, Tsoumpas C. Recent advances on the development of phantoms using 3D printing for imaging with CT, MRI, PET, SPECT, and ultrasound. Med Phys. 2018;45:e740-e760.
Rossman AH, Catenacci M, Zhao C, et al. Three-dimensionally printed anthropomorphic physical phantom for mammography and digital breast tomosynthesis with custom materials, lesions, and uniform quality control region. J Med Imaging. 2019;6:1.
Jahnke P, Schwarz S, Ziegert M, et al. Paper-based 3D printing of anthropomorphic CT phantoms: feasibility of two construction techniques. Eur Radiol. 2019;29:1384-1390.
Hong D, Lee S, Kim GB, et al. Development of a CT imaging phantom of anthromorphic lung using fused deposition modeling 3D printing. Medicine (Baltimore). 2020;99:e18617.
Ceh J, Youd T, Mastrovich Z, et al. Bismuth infusion of ABS enables additive manufacturing of complex radiological phantoms and shielding equipment. Sensors (Switzerland). 2017;17:1-11.
Hamedani BA, Melvin A, Vaheesan K, et al. Three-dimensional printing CT-derived objects with controllable radiopacity. J Appl Clin Med Phys. 2018;19:317-328.
Singh S, Singh G, Prakash C, Ramakrishna S. Current status and future directions of fused FI lament fabrication. J Manuf Process. 2020;55:288-306.
Dancewicz OL, Sylvander SR, Markwell TS, Crowe SB, Trapp JV. Radiological properties of 3D printed materials in kilovoltage and megavoltage photon beams. Phys Medica. 2017;38:111-118.
Ivanov D, Bliznakova K, Buliev I, et al. Suitability of low density materials for 3D printing of physical breast phantoms. Phys Med Biol. 2018;63:175020.
Williams MB, Mangiafico PA, Simoni PU. Noise power spectra of images from digital mammography detectors. Med Phys. 1999;26:1279-1293.
Samei E, Bakalyar D, Boedeker KL, et al. Performance evaluation of computed tomography systems: summary of AAPM Task Group 233. Med Phys. 2019;46:e735-e756.
Toga AW, Mazziotta JC. Brain Mapping: The Methods. Elsevier Science; 2002.