3D 프린팅 비압박 유방 팬텀 제작을 위한 복셀 기반 수치 모델에 관한 연구
A Numerical Voxel Model for 3D-printed Uncompressed Breast Phantoms
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Physical breast phantoms would be useful for the development of a dedicated breast computed tomography (BCT) system and its optimization. While the conventional breast phantoms are available in compressed forms, which are appropriate for the mammography and digital tomosynthesis, however, the BCT requires phantoms in uncompressed forms. Although simple cylindrical plastic phantoms can be used for the development of the BCT system, they will not replace the roles of uncompressed phantoms describing breast anatomies for a better study of the BCT. In this study, we have designed a numerical voxel breast phantom accounting for the random nature of breast anatomies and applied it to the 3D printer to fabricate the uncompressed anthropomorphic breast phantom. The numerical voxel phantom mainly consists of the external skin and internal anatomies, including the ductal networks, the glandular tissues, the Cooper’s ligaments, and the adipose tissues. The voxel phantom is then converted into a surface data in the STL file format by using the marching cube algorithm. Using the STL file, we obtain the skin and the glandular tissue from the 3D printer, and then assemble them. The uncompressed breast phantom is completed by filling the remaining space with oil, which mimics the adipose tissues. Since the breast phantom developed in this study is completely software-generated, we can create readily anthropomorphic phantoms accounting for diverse human breast anatomies.
Abstract
Physical breast phantoms would be useful for the development of a dedicated breast computed tomography (BCT) system and its optimization. While the conventional breast phantoms are available in compressed forms, which are appropriate for the mammography and digital tomosynthesis, however, the BCT requires phantoms in uncompressed forms. Although simple cylindrical plastic phantoms can be used for the development of the BCT system, they will not replace the roles of uncompressed phantoms describing breast anatomies for a better study of the BCT. In this study, we have designed a numerical voxel breast phantom accounting for the random nature of breast anatomies and applied it to the 3D printer to fabricate the uncompressed anthropomorphic breast phantom. The numerical voxel phantom mainly consists of the external skin and internal anatomies, including the ductal networks, the glandular tissues, the Cooper’s ligaments, and the adipose tissues. The voxel phantom is then converted into a surface data in the STL file format by using the marching cube algorithm. Using the STL file, we obtain the skin and the glandular tissue from the 3D printer, and then assemble them. The uncompressed breast phantom is completed by filling the remaining space with oil, which mimics the adipose tissues. Since the breast phantom developed in this study is completely software-generated, we can create readily anthropomorphic phantoms accounting for diverse human breast anatomies.
참고문헌 (15)
- A. M. O’Connell, "Dedicated conebeam breast computed tomography and diagnostic mammography : Comparison of radiation dose, patient comfort, and qualitative review of imaging findings in BI-RADS 4 and 5lesions", J. Clin. Imaging Sci, 2(1), pp.1~7 (2012)
- J.M. Boone, "Dedicated breast CT for breast cancer screening", Proc. Medical physics: 7th Mexican symposium on medical physics, pp.3~8 (2003)
- S. Vedantham, "Dedicated breast CT : Fibroglandular volume measurements in a diagnostic population", Med. Phys, 39(12), pp.7317~7328 (2012)
- S. Vedantham, "Dedicated breast CT : Geometric design considerations to maximize posterior breast coverage", Phys. Med. Biol, 58(12), pp.4099~4118 (2013)
- A. Sarno, "Dedicated breast computed tomography : Basic aspects", Med. Phys, 42(6), pp.2786~2804 (2015)
- P. R. Bakic, "Development and characterization of an anthropomorphic breast software phantom based upon region-growing algorithm", Med. Phys, 38(9), pp.3165~3176 (2011)
- A. Samani, "Biomechanical 3-D finite element modeling of the human breast using MRI data", IEEE. Trans. Med. Imag, 20(7), pp.271~279 (2001)
- M. Weigel, "Spectral optimiza tion for dedicated breast CT", Med. Phys, 38(1), pp.114~124 (2011)
- F.H. Netter, "Atlas of human anatomy, New Jersey", pp.175~177 (2004), Icon Learning Systems
- H. Youn, "Numerical generation of digital mammograms considering imaging characteristics of an imager", Nucl. Instr. Meth. Phys. Res. A, 652(1), pp.810~814 (2011)
- E. Engstrom, "Comparison of power spectra for tomosynthesis projections and reconstructed images", Med. Phys, 36(5), pp.1753~1758 (2009)
- E. William, "Marching Cubes: A high Resolution 3D Surface Construction Algorithm", SIGGRAPH '87, pp.163~169 (1987)
- H. K. Kim, "Performance characterization of microtomography with complementary metal-oxide-semiconductor detectors for computer-aided defect inspection", J. Appl. Phys, 105, pp.094701~ (2009)
