Reproducing 2D Breast Mammography Images with 3D Printed Phantoms

被引:6
作者
Clark, Matthew [2 ]
Ghammraoui, Bahaa [1 ]
Badal, Andreu [1 ]
机构
[1] US FDA, Div Imaging Diagnost & Software Reliabil, OSEL, CDRH, Silver Spring, MD USA
[2] Univ Maryland, Mech Engn, College Pk, MD 20742 USA
来源
MEDICAL IMAGING 2016: PHYSICS OF MEDICAL IMAGING | 2016年 / 9783卷
关键词
mammography; breast phantoms; 3D printing;
D O I
10.1117/12.2217215
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Mammography is currently the standard imaging modality used to screen women for breast abnormalities and, as a result, it is a tool of great importance for the early detection of breast cancer. Physical phantoms are commonly used as surrogates of breast tissue to evaluate some aspects of the performance of mammography systems. However, most phantoms do not reproduce the anatomic heterogeneity of real breasts. New fabrication technologies, such as 3D printing, have created the opportunity to build more complex, anatomically realistic breast phantoms that could potentially assist in the evaluation of mammography systems. The primary objective of this work is to present a simple, easily reproducible methodology to design and print 3D objects that replicate the attenuation profile observed in real 2D mammograms. The secondary objective is to evaluate the capabilities and limitations of the competing 3D printing technologies, and characterize the x-ray properties of the different materials they use. Printable phantoms can be created using the open-source code introduced in this work, which processes a raw mammography image to estimate the amount of x-ray attenuation at each pixel, and outputs a triangle mesh object that encodes the observed attenuation map. The conversion from the observed pixel gray value to a column of printed material with equivalent attenuation requires certain assumptions and knowledge of multiple imaging system parameters, such as x-ray energy spectrum, source-to-object distance, compressed breast thickness, and average breast material attenuation. A detailed description of the new software, a characterization of the printed materials using x-ray spectroscopy, and an evaluation of the realism of the sample printed phantoms are presented.
引用
收藏
页数:9
相关论文
共 7 条
  • [1] penMesh-Monte Carlo Radiation Transport Simulation in a Triangle Mesh Geometry
    Badal, Andreu
    Kyprianou, Iacovos
    Banh, Diem Phuc
    Badano, Aldo
    Sempau, Josep
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2009, 28 (12) : 1894 - 1901
  • [2] DEVELOPMENT OF AN ANTHROPOMORPHIC BREAST PHANTOM
    CALDWELL, CB
    YAFFE, MJ
    [J]. MEDICAL PHYSICS, 1990, 17 (02) : 273 - 280
  • [3] Development of a physical 3D anthropomorphic breast phantom
    Carton, Ann-Katherine
    Bakic, Predrag
    Ullberg, Christer
    Derand, Helen
    Maidment, Andrew D. A.
    [J]. MEDICAL PHYSICS, 2011, 38 (02) : 891 - 896
  • [4] The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
    Clark, Kenneth
    Vendt, Bruce
    Smith, Kirk
    Freymann, John
    Kirby, Justin
    Koppel, Paul
    Moore, Stephen
    Phillips, Stanley
    Maffitt, David
    Pringle, Michael
    Tarbox, Lawrence
    Prior, Fred
    [J]. JOURNAL OF DIGITAL IMAGING, 2013, 26 (06) : 1045 - 1057
  • [5] Development of realistic physical breast phantoms matched to virtual breast phantoms based on human subject data
    Kiarashi, Nooshin
    Nolte, Adam C.
    Sturgeon, Gregory M.
    Segars, William P.
    Ghate, Sujata V.
    Nolte, Loren W.
    Samei, Ehsan
    Lo, Joseph Y.
    [J]. MEDICAL PHYSICS, 2015, 42 (07) : 4116 - 4126
  • [6] Three-dimensional Physical Modeling: Applications and Experience at Mayo Clinic
    Matsumoto, Jane S.
    Morris, Jonathan M.
    Foley, Thomas A.
    Williamson, Eric E.
    Leng, Shuai
    McGee, Kiaran P.
    Kuhlmann, Joel L.
    Nesberg, Linda E.
    Vrtiska, Terri J.
    [J]. RADIOGRAPHICS, 2015, 35 (07) : 1990 - 2007
  • [7] Volumetric breast density estimation from full-field digital mammograms
    van Engeland, S
    Snoeren, PR
    Huisman, H
    Boetes, C
    Karssemeijer, N
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2006, 25 (03) : 273 - 282