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Simulation of breast compression in mammography using finite element analysis: A preliminary study
- Source :
- Radiation Physics and Chemistry. 140:295-299
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- Adequate compression during mammography lowers the absorbed dose in the breast and improves the image quality. The compressed breast thickness (CBT) is affected by various factors, such as breast volume, glandularity, and compression force. In this study, we used the finite element analysis to simulate breast compression and deformation and validated the simulated CBT with clinical mammography results. Image data from ten subjects who had undergone mammography screening and breast magnetic resonance imaging (MRI) were collected, and their breast models were created according to the MR images. The non-linear tissue deformation under 10−16 daN in the cranial-caudal direction was simulated. When the clinical compression force was used, the simulated CBT ranged from 2.34 to 5.90 cm. The absolute difference between the simulated CBT and the clinically measured CBT ranged from 0.5 to 7.1 mm. The simulated CBT had a strong positive linear relationship to breast volume and a weak negative correlation to glandularity. The average simulated CBT under 10, 12, 14, and 16 daN was 5.68, 5.12, 4.67, and 4.25 cm, respectively. Through this study, the relationships between CBT, breast volume, glandularity, and compression force are provided for use in clinical mammography.
- Subjects :
- Tissue deformation
medicine.medical_specialty
Radiation
medicine.diagnostic_test
business.industry
Image quality
Breast magnetic resonance imaging
Compression (physics)
behavioral disciplines and activities
Finite element method
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Linear relationship
030220 oncology & carcinogenesis
mental disorders
medicine
Mammography
Medical physics
Breast compression
business
Nuclear medicine
Subjects
Details
- ISSN :
- 0969806X
- Volume :
- 140
- Database :
- OpenAIRE
- Journal :
- Radiation Physics and Chemistry
- Accession number :
- edsair.doi...........ee95a79fcabfc467f3b466bfbe978ec0