Factors influencing the accuracy of biomechanical breast models.

作者: Christine Tanner , Julia A. Schnabel , Derek L. G. Hill , David J. Hawkes , Martin O. Leach

DOI: 10.1118/1.2198315

关键词:

摘要: Factors influencing the accuracy of biomechanical breast models Recently it has been suggested that finite element methods could be used to predict deformations in a number applications, including comparison multimodality images, validation image registration and guided interventions. Unfortunately knowledge mechanical properties tissues is limited. This study evaluated with which based on can displacements tissue within practical clinical situation where boundaries organ might known reasonably accurately but there some uncertainty tissue. For two datasets, we investigate influence elasticity values, Poisson's ratios, boundary conditions, solvers mesh resolutions. Magnetic resonance images were acquired before after compressing each volunteer's by about 20%. Surface displacement conditions derived from three-dimensional nonrigid registration. Six linear three nonlinear elastic material without skin tested. These compared hyperelastic models. The was assessing ability model location 12 corresponding anatomical landmarks. most sensitive ratio condition. Best results achieved for accurate appropriate ratios fibroglandular at four times stiffer than fatty configurations reduced mean (maximum) distance landmarks 6.6 mm (12.4 mm) 2.1 (3.4 averaged over all experiments. (C) 2006 American Association Physicists Medicine.

参考文章(21)
P.J. Rossman, R.L. Ehman, A. Manduca, A.J. Lawrence, L.C. Hartmann, J.L. Mahowald, Assessment of Breast Cancer by Magnetic Resonance Elastography ,(1999)
Pras Pathmanathan, David Gavaghan, Jonathan Whiteley, Sir Michael Brady, Martyn Nash, Poul Nielsen, Vijay Rajagopal, Predicting Tumour Location by Simulating Large Deformations of the Breast Using a 3D Finite Element Model and Nonlinear Elasticity medical image computing and computer assisted intervention. ,vol. 3217, pp. 217- 224 ,(2004) , 10.1007/978-3-540-30136-3_28
Alexia L. McKnight, Jennifer L. Kugel, Phillip J. Rossman, Armando Manduca, Lynn C. Hartmann, Richard L. Ehman, MR Elastography of Breast Cancer: Preliminary Results American Journal of Roentgenology. ,vol. 178, pp. 1411- 1417 ,(2002) , 10.2214/AJR.178.6.1781411
Christine Tanner, Andreas Degenhard, Julia A. Schnabel, Andrew D. Castellano-Smith, Carmel Hayes, Luke I. Sonoda, Martin O. Leach, D. R. Hose, Derek L. Hill, David J. Hawkes, Comparison of biomechanical breast models: a case study Progress in biomedical optics and imaging. ,vol. 4684, pp. 1807- 1818 ,(2002) , 10.1117/12.467155
R Sinkus, J Lorenzen, D Schrader, M Lorenzen, M Dargatz, D Holz, High-resolution tensor MR elastography for breast tumour detection. Physics in Medicine and Biology. ,vol. 45, pp. 1649- 1664 ,(2000) , 10.1088/0031-9155/45/6/317
Thomas A. Krouskop, Thomas M. Wheeler, Faouzi Kallel, Brian S. Garra, Timothy Hall, Elastic Moduli of Breast and Prostate Tissues under Compression Ultrasonic Imaging. ,vol. 20, pp. 260- 274 ,(1998) , 10.1177/016173469802000403
C.W. Washington, M.I. Miga, Modality independent elastography (MIE): a new approach to elasticity imaging IEEE Transactions on Medical Imaging. ,vol. 23, pp. 1117- 1128 ,(2004) , 10.1109/TMI.2004.830532
A. Samani, J. Bishop, D.B. Plewes, A constrained modulus reconstruction technique for breast cancer assessment IEEE Transactions on Medical Imaging. ,vol. 20, pp. 877- 885 ,(2001) , 10.1109/42.952726
Colin Studholme, Derek LG Hill, David J Hawkes, An overlap invariant entropy measure of 3D medical image alignment Pattern Recognition. ,vol. 32, pp. 71- 86 ,(1999) , 10.1016/S0031-3203(98)00091-0
A. Samani, J. Bishop, M.J. Yaffe, D.B. Plewes, Biomechanical 3-D finite element modeling of the human breast using MRI data IEEE Transactions on Medical Imaging. ,vol. 20, pp. 271- 279 ,(2001) , 10.1109/42.921476