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Proceedings Paper

Simulation of breast compression using a new biomechanical model
Author(s): Anna Mîra; Yohan Payan; Ann-Katherine Carton; Pablo Milioni de Carvalho; Zhijin Li; Viviane Devauges; Serge Muller
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Paper Abstract

Mammography is currently the primary imaging modality for breast cancer screening and plays an important role in cancer diagnostics. A standard mammographic image acquisition always includes the compression of the breast prior xray exposure. The breast is compressed between two plates (the image receptor and the compression paddle) until a nearly uniform breast thickness is obtained. The breast flattening improves diagnostic image quality1 and reduces the absorbed dose2 . However, this technique can also be a source of discomfort and might deter some women from attending breast screening by mammography3,4. Therefore, the characterization of the pain perceived during breast compression is of potential interest to compare different compression approaches. The aim of this work is to develop simulation tools enabling the characterization of existing breast compression techniques in terms of patient comfort, dose delivered to the patient and resulting image quality. A 3D biomechanical model of the breast was developed providing physics-based predictions of tissue motion and internal stress and strain intensity. The internal stress and strain intensity are assumed to be directly correlated with the patient discomfort. The resulting compressed breast model is integrated in an image simulation framework to assess both image quality and average glandular dose. We present the results of compression simulations on two breast geometries, under different compression paddles (flex or rigid).

Paper Details

Date Published: 9 March 2018
PDF: 9 pages
Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 105735A (9 March 2018); doi: 10.1117/12.2293488
Show Author Affiliations
Anna Mîra, GE Healthcare France (France)
Univ. Grenoble Alpes, CNRS, Grenoble INP (France)
Yohan Payan, Univ. Grenoble Alpes, CNRS, Grenoble INP, VetAgro Sup, TIMC-IMAG (France)
Ann-Katherine Carton, GE Healthcare France (France)
Pablo Milioni de Carvalho, GE Healthcare France (France)
Zhijin Li, GE Healthcare France (France)
Viviane Devauges, GE Healthcare France (France)
Serge Muller, GE Healthcare France (France)

Published in SPIE Proceedings Vol. 10573:
Medical Imaging 2018: Physics of Medical Imaging
Joseph Y. Lo; Taly Gilat Schmidt; Guang-Hong Chen, Editor(s)

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