Conference proceedings article
Heterogenous Breast Phantom with Carcinoma for Ionizing Machines


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Author list: Budour AlFares, AlJohara AlJabr, Maryam Zainalabedin, Munthreen AlMuzain, Gameel Saleh, and Maryam AlHashim
Publication year: 2021
Start page: 1
End page: 6
Number of pages: 6
Web of Science ID: 000675601600081
PubMed ID:
Scopus ID: 85106708776
Languages: English-United States


Breast cancer is one of the main reasons that lead to mortality, particularly in females. One of the factors that help in breast cancer detection is the existence of breast phantom with high similarity to the real breast associated with the utilized modality. Currently, the existing breast phantoms are limited in terms of anatomy and breast ionization reactions properties. Thus, the aim of this paper is to design a heterogenous patient-based breast phantom that mimics the real breast tissues properties concerning ionizing imaging modalities. The phantom includes skin tissue, fibroglandular tissue, adipose tissue, pectoral muscles, and insertion of malignant lesion. The process started with real breast MR images from King Fahd Specialist Hospital with BIRADS I tissue segmentation for molds creation. 3D Slicer software was used for segmentation, and the Mesh mixer was used to refine the segmented tissue. The molds are printed using PRUSA 3D printers. The tissue-mimicking materials were tailored in terms of their elemental composition weight fractions and three ionization properties. These are the mass attenuation coefficient (MAC), electron density (ne) and effective atomic number (Zeff). These characteristics were compared with the corresponding properties of the real breast ICRU reported elemental compositions. The achieved results showed an excellent agreement between the MAC of the tissue-mimicking materials and the ICRU-based breast tissues. The percentage of error in ne and Zeff amounts to only 2.93% and 5.76%, respectively. That means the phantom can optimize the function of breast ionizing imaging modalities and lead to higher breast cancer detection sensitivity.


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Last updated on 2021-25-08 at 09:31