title: Visualization and quantification of breast cancer biomechanical properties with magnetic resonance elastography.
abstract: A quasistatic magnetic resonance elastography (MRE) method for the evaluation of breast cancer is proposed. Using a phase contrast, stimulated echo MRI approach, strain imaging in phantoms and volunteers is presented. First-order assessment of tissue biomechanical properties based on inverse strain mapping is outlined and demonstrated. The accuracy of inverse strain imaging is studied through simulations in a two-dimensional model and in an anthropomorphic, three-dimensional finite-element model of the breast. To improve the accuracy of modulus assessment by elastography, inverse methods are discussed as an extension to strain imaging, and simulations quantify MRE in terms of displacement signal/noise required for robust inversion. A direct inversion strategy providing information on tissue modulus and pressure distribution is described along with a novel iterative method utilizing a priori knowledge of tissue geometry. It is shown that through the judicious choice of information from previous contrast-enhanced MRI breast images, MRE data acquisition requirements can be significantly reduced while maintaining robust modulus reconstruction in the presence of strain noise. An experimental apparatus for clinical breast MRE and preliminary images of a normal volunteer are presented.
authors.affiliation: Department of Medical Biophysics, Sunnybrook and Women's College Health Sciences Centre, Toronto, Ontario, Canada. dbp@sten.sunnybrook.utoronto.ca
authors.forename: D B
authors.initials: DB
authors.lastname: Plewes
authors.forename: J
authors.initials: J
authors.lastname: Bishop
authors.forename: A
authors.initials: A
authors.lastname: Samani
authors.forename: J
authors.initials: J
authors.lastname: Sciarretta
mesh_terms: D001943:Breast Neoplasms / Q000175:diagnosis / Q000000981:diagnostic imaging*; D004548:Elasticity; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015233:Models, Statistical; D008962:Models, Theoretical; D019047:Phantoms, Imaging; D016217:Ultrasonography, Mammary / Q000295:instrumentation / Q000379:methods*