Prog Med Phys.  2024 Dec;35(4):125-134. 10.14316/pmp.2024.35.4.125.

Development of a 3D-Printed Lithophane Breast Anthropomorphic Phantom for Dose Optimization in an Automatic Exposure Control System

Affiliations
  • 1Department of Radiological Science, Graduate School of Health Science, Cheongju University, Cheongju, Korea

Abstract

Purpose
This study aimed to develop a 3D-printed lithophane breast anthropomorphic phantom for optimizing the automatic exposure control (AEC) in a digital mammography system, thereby reducing radiation dose while maintaining high image quality.
Methods
Craniocaudal breast radiograhic images from 72 patients, categorized as high-density and low-density by radiologists, were used to design the phantom. A digital lithophane technology was employed to create an anatomic breast plate, fabricated using a digital light processing 3D printer with resin. Polymenthylmethacrylate (PMMA) support thickness was adjusted incrementally until the exposure index and deviation index values approximated those of the American College of Radiology phantom. Phantom images were acquired across five AEC density levels (−6, −3, 0, 3, 6), and the optimal dose was determined as the lowest autoexposure mAs value with superior image quality. Two radiologists scored image quality on a 7-point Likert scale to identify the best configurations.
Results
The optimal PMMA support thicknesses were determined as 3 cm for high-density and 4 cm for low-density breasts. The optimized AEC condition corresponded to the lowest density level (−6) with the least mAs value, maintaining excellent image quality. The use of the phantom resulted in a reduction of automatic exposure tube current by 39.4%–43.4% while producing images comparable to human breast radiographic images.
Conclusions
The developed 3D-printed lithophane breast anthropomorphic phantom effectively optimized AEC settings, reducing radiation dose and maintaining high-quality breast radiographic images. This study has the potential to enhance safety and diagnostic efficacy in digital mammography.

Keyword

Breast anthropomorphic phantom; Digital lithophane technology; Automatic exposure control; Dose optimization; 3D printing technology

Figure

  • Fig. 1 Phantoms of the American College of Radiology.

  • Fig. 2 3D-printed breast anthropomorphic phantom developed using the digitized lithophane technology.

  • Fig. 3 Selected clinical mammography and 3D printing products using lithophane technique, (a) high-density and (b) low- density breasts.

  • Fig. 4 Experiment of X-ray attenuation by changing polymenthylmethacrylate thickness, (a) 1 cm, (b) 2 cm, (c) 3 cm, and (d) 4 cm, of 3D phantom in the automatic exposure control of a digital mammography system.

  • Fig. 5 Mammography on the anthropomorphic breast phantom by changing the density of automatic exposure control, (a) Density −6, (b) Density −3, (c) Density 0, (d) Density 3, and (e) Density 6, for low- and high-density phantoms.

  • Fig. 6 Comparison of autoexposure mAs by changing the density on anthropomorphic high-density and low-density phantoms.


Reference

References

1. Kim MY, Kim HS. 2012; The evaluation of radiation dose by exposure method in digital magnification mammography. J Radiol Sci Technol. 35:293–298.
2. Bushberg JT, Siebert JA, Leidholdt EM, Boone JM. 2012. The essential physics of medical imaging. 3rd ed. Lippincott Williams & Wilkins.
3. Jeong MG, Seoung YH. 2020; Effects of field configuration shielding area and changing of density and sensitivity on tube current and image quality in automatic exposure control system. J Korean Soc Radiol. 14:635–642.
4. Lee JS, Ko SJ, Kang SS, Kim JH, Kim DH, Kim C. 2013; Quantitative evaluation of image quality using automatic exposure control & sensitivity in the digital chest image. J Korea Cont Assoc. 13:275–283. DOI: 10.5392/JKCA.2013.13.08.275.
5. International Electrotechnical Commission (IEC). 2008. Medical electrical equipment - exposure index of digital X-ray imaging systems - part 1: definitions and requirements for general radiography. IEC;p. 62494–1.
6. Jeong HW, Min JW. 2020; A study on quality control for medical image by using deviation index of digital radiology. J Radiol Sci Technol. 43:115–121. DOI: 10.17946/JRST.2020.43.2.115.
7. American Association of Physicists in Medicine (AAPM). 2009. An exposure indicator for digital radiography. AAPM;p. 116.
8. Shepard SJ, Wang J, Flynn M, Gingold E, Goldman L, Krugh K, et al. 2009; An exposure indicator for digital radiography: AAPM Task Group 116 (executive summary). Med Phys. 36:2898–2914. DOI: 10.1118/1.3121505. PMID: 19673189. PMCID: PMC3908678.
9. Carton AK, Bakic P, Ullberg C, Derand H, Maidment AD. 2011; Development of a physical 3D anthropomorphic breast phantom. Med Phys. 38:891–896. DOI: 10.1118/1.3533896. PMID: 21452726. PMCID: PMC4108620.
10. Bliznakova K. 2020; The advent of anthropomorphic three-dimensional breast phantoms for X-ray imaging. Phys Med. 79:145–161. DOI: 10.1016/j.ejmp.2020.11.025. PMID: 33321469.
11. Varallo A, Sarno A, Castriconi R, Mazzilli A, Loria A, Del Vecchio A, et al. 2022; Fabrication of 3D printed patient-derived anthropomorphic breast phantoms for mammography and digital breast tomosynthesis: imaging assessment with clinical X-ray spectra. Phys Med. 98:88–97. DOI: 10.1016/j.ejmp.2022.04.006. PMID: 35526373.
12. Sarno A, Mettivier G, di Franco F, Varallo A, Bliznakova K, Hernandez AM, et al. 2021; Dataset of patient-derived digital breast phantoms for in silico studies in breast computed tomography, digital breast tomosynthesis, and digital mammography. Med Phys. 48:2682–2693. DOI: 10.1002/mp.14826. PMID: 33683711.
13. Kiarashi N, Nolte AC, Sturgeon GM, Segars WP, Ghate SV, Nolte LW, et al. 2015; Development of realistic physical breast phantoms matched to virtual breast phantoms based on human subject data. Med Phys. 42:4116–4126. DOI: 10.1118/1.4919771. PMID: 26133612.
14. Savi M, Villani D, Andrade MAB, Rodrigues O, Potiens MPA. 2021; Study on attenuation of 3D printing commercial filaments on standard X-ray beams for dosimetry and tissue equivalence. Radiat Phys Chem. 182:109365. DOI: 10.1016/j.radphyschem.2021.109365.
15. Savi M, Andrade MAB, Potiens MPA. 2020; Commercial filament testing for use in 3D printed phantoms. Radiat Phys Chem. 174:108906. DOI: 10.1016/j.radphyschem.2020.108906.
16. Jang SH, Hong JM. 2017; An adaptive extrusion control technique for faster FDM 3D printing of lithophanes. Korean J Comput Des Eng. 22:190–201. DOI: 10.7315/CDE.2017.190.
17. American College of Radiology. 1998. Illustrated Breast Imaging Reporting and Data System (BI-RADS TM). 3rd ed. American College of Radiology.
18. Oh KK, Hur J, Kim EK, Cho SS. 2004; Dosimetric evaluation of mean glandular dose for mammography in Korean women. J Korean Soc Breast Screen Exam. 1:130–134.
19. Kim WH, Koo HR, Moon WK. 2011; Quantification of breast density. J Korean Soc Breast Screen Exam. 8:82–87.
20. Carney M. 2008. Lithophanes. Schiffer Publising.
21. Huang W, Van Metter R, Yang CYJ, Yorkston J. 2007; Configuration of AEC kVp dependence for digital radiography systems. Proc SPIE Int Soc Opt Eng. 6510:651017. DOI: 10.1117/12.714377.
22. Bowden L, Faulkner R, Clancy C, Gallagher A, Devine M, Gorman D, et al. 2011; Doses under automatic exposure control (AEC) for direct digital radiographic (DDR) X-ray systems. Radiat Prot Dosimetry. 147:210–214. DOI: 10.1093/rpd/ncr301. PMID: 21937592.
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