Anthropomorphic breast phantoms are useful for development and characterization of breast x-ray imaging systems. Rapid prototyping (RP) opens a new way for generating complex shapes similar to real breast tissue patterns at reasonably high resolution and a high degree of reproducibility. Such a phantom should have x-ray attenuation properties similar to adipose and fibroglandular tissue across a broad x-ray energy range. However material selection is limited to those that are compatible with the printing system, which often requires adding non-organic dopants. Fortunately, there are some off-the-shelf materials that may be suitable for breast phantoms. Here a polyamide-12/water texture phantom is being investigated, which can be used for mammography, tomosynthesis and breast CT. Polyamide-12 (PA-12) is shown to have linear attenuation coefficients across an energy range of 15 – 40 keV matching adipose tissue to within 10% effective breast density. A selective laser sintering (SLS) printer is used for manufacturing the phantom. The phantom was imaged on the Senographe Pristina (GE Healthcare, Chicago, IL), while initial assessment of 3D fidelity with the original design was performed by acquiring volume images of the phantom on a micro-CT system. A root mean distance error of 0.22 mm was seen between the micro-CT volume and the original. The PA-12 structures appeared to be slightly smaller than in the original, possibly due to infiltration of the water into the PA-12 surfaces. Power spectra measurements for mammograms of the simulated and physical phantoms both demonstrated an inverse power-law spectrum shape with exponent β= 3.72 and 3.76, respectively.
[1]
Arthur E Burgess,et al.
Signal detection in power-law noise: effect of spectrum exponents.
,
2007,
Journal of the Optical Society of America. A, Optics, image science, and vision.
[2]
Bruno De Man,et al.
CatSim: a new computer assisted tomography simulation environment
,
2007,
SPIE Medical Imaging.
[3]
P. C. Johns,et al.
X-ray characterisation of normal and neoplastic breast tissues.
,
1987,
Physics in medicine and biology.
[4]
F. Spiers.
Physics of Radiology
,
1968,
Nature.
[5]
Pablo Milioni de Carvalho.
Low-Dose 3D Quantitative Vascular X-ray Imaging of the Breast
,
2014
.
[6]
Martin J Yaffe,et al.
The relationship between anatomic noise and volumetric breast density for digital mammography.
,
2012,
Medical physics.
[7]
Ann-Katherine Carton,et al.
The effect of NPS calculation method on power-law coefficient estimation accuracy in breast texture modeling
,
2015,
Medical Imaging.
[8]
Ann-Katherine Carton,et al.
A Novel 3D Stochastic Solid Breast Texture Model for X-Ray Breast Imaging
,
2016,
Digital Mammography / IWDM.