Home   >   CSC-OpenAccess Library   >    Manuscript Information
A Numerical Investigation of Breast Compression: Lesion Modeling
MacArthur L, Lorenzo M. Smith, Neal Hall
Pages - 8 - 21     |    Revised - 01-07-2011     |    Published - 05-08-2011
Volume - 2   Issue - 1    |    Publication Date - July / August 2011  Table of Contents
MORE INFORMATION
KEYWORDS
Breast, Finite Element, FE, Lesion, MRI, Biopsy
ABSTRACT
Researchers have developed finite element (FE) models from preoperative medical images to simulate intraoperative breast compression. Applications for these FE models include mammography, non-rigid image registration, and MRI guided biopsy. Efficient FE breast models have been constructed that model suspect lesions as a single element or node within the FE breast mesh. At the expense of efficiency, other researchers have modeled the actual lesion geometry within the FE breast mesh (conformal breast-lesion mesh). Modeling the actual lesion geometry provides lesion boundary spatial information, which is lost in FE breast models that model suspect lesions as a single element or node within the FE breast mesh. In this paper, we used a commercial finite element analysis (FEA) program to construct a biomechanical breast model from patient specific MR volumes. A laterally situated lesion was identified in the diagnostic MRI. We used the FE model to simulate breast compression during an MRI guided biopsy. Our objective was to investigate the efficacy of independently discretizing the breast and lesion geometries and using a kinematic constraint to associate the lesion nodes to the nodes in the breast mesh based on their isoparametric position. This study showed that it is possible to construct an accurate and efficient FE breast model that considers the actual lesion geometry. With 61 mm of breast compression, the lesion centroid was localized to within 3.8 mm of its actual position. As compared to a conformal breast-lesion FE mesh, the element count was also reduced by 53%. These findings suggest that it is possible to predict the position of a suspect lesion\'s centroid and boundary within clinical time constraints (< 30 minutes).
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 Scribd 
5 SlideShare 
6 PdfSR 
A. Perez del Palomar, B. Calvo, J. Herrero, J. Lopez, M. Doblare. "A Finite Element Model to Accurately Predict Real Deformations of the Breast". Medical Engineering & Physics, 30(9):1089- 1097, 2008
A. Samani, A.J. Bishop, M.J. Yaffe, D.B. Plewes, 2001. "Biomechanical 3-D Finite Element Modeling of the Human Breast Using MRI Data". IEEE Trans. Medical Imag., 20(4):271-279, 2001
A. Schnabel, C. Tanner, A.D. Castellano-Smith, A. Degenhard, M.O. Leach, D.R. Hose, D.L.G. Hill, D.J. Hawkes. "Validation of Nonrigid Image Registration Using Finite-Element Methods: Application to Breast MR Images". IEEE Transactions on Medical Imaging, 22(2):238-247, 2003
A.N. Gent. "Engineering with Rubber: How to Design Rubber Components", Hanser Gardner Publications, pp. 50-54, 2001
Altair Engineering. "HyperMesh 10.0, User Manual", 2010
AnalyzeDirect. "Analyze 10.0 Essential Training Guide", 2010
C. Tanner, M. White, S. Guarino, S, M.A. Hall-Craggs, M. Douek, M. D.J. Hawkes. "Anisotropic Behavior of Breast Tissue for Large Compressions". IEEE International Symposium on Biomedical Imaging: From Nano to Macro:1223-1226, 2009
F.H. Netter. "Atlas of Human Anatomy, 2nd ed", Navortis, pp. 167-169, 1997
F.S. Azar, D.N. Metaxas, M.D. Schnall. "Methods for modeling and predicting mechanical deformations of the breast under external perturbations". IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 6(1):1-27, 2002
I.N. Bankman. "Handbook of Medical Imaging Processing and Analysis", Academic Press, pp. 499- 500, 2000
J. Bonet, R. Wood. R. "Nonlinear Continuum Mechanics for Finite Element Analysis", Cambridge University Press, pp. 57-64. (1997)
L.R. Herrmann, R.M. Toms. "A reformulation of the Elastic Field Equations in Terms of Displacements, Valid for All Admissible Values of Poisson's Ratio". Journal of Applied Mechanics 31: 148-149, 1964
L.R. Herrmann. "Elasticity Equations for Incompressible and Nearly Incompressible Materials by a Variational Theorem". American Institute of Aeronautics and Astronautics (AIAA) 10:1896-1900, 1965
M. Betke, H. Hong, D. Thomas, C. Prince, J. Ko. "Landmark Detection in the Chest and Registration of Lung Surfaces with an Application to Nodule Registration". Journal of Medical Image Analysis: 265-281, 2003
MSC Software Corporation. "Volume A: Theory and User Manual", 2005
MSC Software Corporation. "Volume B: Element Library", 2005
N.V. Ruiter, R. Stotzka, T.O. Muller, H. Gemmeke. "Model-based registration of X-ray mammograms and MR images of the female breast". IEEE Symposium Conference on Nuclear Science, 5:3290- 3294, 2004
O. Zhang, A. Qiu, D.B. Goldgof, S. Sarkar, L. Li. "3D Finite Element Modeling of Nonrigid Breast Deformation for Feature Registration in X-ray and MR Images". IEEE Workshops on Applications of Computer Vision, :38-44, 2007
P.S Wellman. "Tactile Sensing". PhD. Thesis, Harvard University, 1999
R.D. Cook. "Concepts And Applications of Finite Element Analysis 2nd Edition, John Wiley & Sons, pp. 351-353, 1981
T.A Krouskop, T.M. Wheeler, F. Kallel, B.S. Garra, T. Hall. "Elastic Moduli of Breast and Prostate Tissues Under Compression". Ultrasonic Imaging, 20: 260-274, 1998
Mr. MacArthur L
- United States of America
mlstewar@oakland.edu
Dr. Lorenzo M. Smith
- United States of America
Dr. Neal Hall
- United States of America
NealHall@rossmed.edu


CREATE AUTHOR ACCOUNT
 
LAUNCH YOUR SPECIAL ISSUE
View all special issues >>
 
PUBLICATION VIDEOS