The breast phantom construction for a research purpose: 3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2011

M. Ribeiro, J. O'Neill, J. Mauricio

Research output: Contribution to conferencePaper


The purpose was to perform a breast phantom to test in a Magnetic Resonance system 1,5 T, the effectiveness of the fat suppression techniques. Based on the literature available, previous to select the best phantom components, were performed some trials mixing different ingredients. The Gel Carrageenan (CAGN) phantom is highly useful and practical for experiments such as in MRI. Carrageenan, unlike agarose, has little effect on T1 and T2 relaxation times. CAGN is a linear sulfated polyssacharide, which is extracted from red seaweeds, and therefore expensive and very difficult to find available. For this reason, the carrageenan was replaced by another jelly agent, the agarose, which was mixed with water and gelatin and heated in a microwave till boiled. The mixture was then cooled to get solidification. The final result was an internal model with a breast shape, filled with a mix by agarose, gelatin, distilled water, pork fat and breast turkey. The mold in which the final composition was introduced was built by a human model to mimic the best as possible the breasts of a woman with middle morphometric characteristics. The proportion of the pork fat/breast turkey was different between the left and the right breast to simulate two different breast compositions- the fibroglandular and the adipose breast tissue. The complete phantom was after submitted to a Magnetic Resonance system to analyze the performance of STIR, SPIR and SPAIR weighted sequences in the breast fat saturation. © 2012 Taylor & Francis Group.
Original languageEnglish
Number of pages4
Publication statusPublished - 2012



  • Agarose
  • Breast phantom
  • Breast tissues
  • Carrageenans
  • Distilled water
  • Fat suppression
  • Fibroglandular
  • Human Model
  • Internal models
  • Morphometric characteristics
  • Magnetic resonance
  • Medical image processing
  • Tissue
  • Image processing

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