Using Breast Tissue Information and Subject-Specific Finite-Element Models to Optimize Breast Compression Parameters for Digital Mammography

Digital mammography has become a first-line diagnostic tool for clinical breast cancer screening due to its high sensitivity and specificity. Mammographic compression force is closely associated with image quality and patient comfort. Therefore, optimizing breast compression parameters is essential....

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Published inElectronics (Basel) Vol. 11; no. 11; p. 1784
Main Authors Chang, Tien-Yu, Wu, Jay, Liu, Pei-Yuan, Liu, Yan-Lin, Luzhbin, Dmytro, Lin, Hsien-Chou
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2022
Subjects
Biomechanics
Body fat
Breast cancer
Digital imaging
Finite element method
Image compression
Image quality
Magnetic resonance imaging
Mammography
Mathematical models
Medical imaging
Medical screening
Optimization
Parameters
Simulation
Ultrasonic imaging
United States > US
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Summary:Digital mammography has become a first-line diagnostic tool for clinical breast cancer screening due to its high sensitivity and specificity. Mammographic compression force is closely associated with image quality and patient comfort. Therefore, optimizing breast compression parameters is essential. Subjects were recruited for digital mammography and breast magnetic resonance imaging (MRI) within a month. Breast MRI images were used to calculate breast volume and volumetric breast density (VBD) and construct finite element models. Finite element analysis was performed to simulate breast compression. Simulated compressed breast thickness (CBT) was compared with clinical CBT and the relationships between compression force, CBT, breast volume, and VBD were established. Simulated CBT had a good linear correlation with the clinical CBT (R2 = 0.9433) at the clinical compression force. At 10, 12, 14, and 16 daN, the mean simulated CBT of the breast models was 5.67, 5.13, 4.66, and 4.26 cm, respectively. Simulated CBT was positively correlated with breast volume (r > 0.868) and negatively correlated with VBD (r < –0.338). The results of this study provides a subject-specific and evidence-based suggestion of mammographic compression force for radiographers considering image quality and patient comfort.
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ISSN:2079-9292
2079-9292
DOI:10.3390/electronics11111784