DocumentCode
2808950
Title
Anisotropic behaviour of breast tissue for large compressions
Author
Tanner, C. ; White, M. ; Guarino, S. ; Hall-Craggs, M.A. ; Douek, M. ; Hawkes, D.J.
Author_Institution
Centre of Med. Image Comput., Univ. Coll. London, London, UK
fYear
2009
fDate
June 28 2009-July 1 2009
Firstpage
1223
Lastpage
1226
Abstract
Several methods have been proposed to simulate large breast compressions such as those occurring during X-ray mammography. However evaluation of these methods against real data is rare. We acquired magnetic resonance images of eleven breasts before and after applying a relatively large in-vivo compression in the medial direction. Using non-rigid registration we observed an anisotropic deformation behaviour, with a reduced elongation in the anterior-posterior direction and an increased stretch in inferior-superior direction for all but one subject. Higher anisotropy was observed for larger compressions and in the central breast region. Using finite element simulations, we assessed the optimum performance of isotropic and transverse isotropic material models to predict the displacement of internal landmarks. We found that isotropic materials reduced the mean displacement error from 23.3 mm to 4.3 mm on average. Smaller errors were achieved with transverse isotropic materials (3.8 mm). For large compressions (>35%) the difference (5.2 mm vs. 4.1 mm) was statistically significant (p=0.04). Of the parameters varied, the amount of skin stiffness and anisotropy had the greatest influence on the results.
Keywords
biological organs; biomechanics; biomedical MRI; data compression; deformation; finite element analysis; image coding; image registration; mammography; medical image processing; skin; X-ray mammography; breast tissue anisotropic deformation behaviour; finite element simulation; in-vivo breast compression simulation; isotropic material model; magnetic resonance image; nonrigid registration; skin stiffness; transverse isotropic material model; Anisotropic magnetoresistance; Biological materials; Breast tissue; Deformable models; Educational institutions; Hospitals; Image coding; Image registration; Magnetic materials; Predictive models; anisotropy; biomechanical model; breast compressions; finite element analysis; mammography;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location
Boston, MA
ISSN
1945-7928
Print_ISBN
978-1-4244-3931-7
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2009.5193282
Filename
5193282
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