ABSTRACT
We develop a large deformations, Finite Elements biomechanical model of a stellate breast tumour, subject to prone to supine (MRI to US) breast deformations. Based on clinical findings, we introduce a volume of increased mammographic density/stiffness around a spiculated tumour, as well as a range of reported mechanical properties, both linear elastic and hyperelastic. This novel model demonstrates that these have a non-negligible effect on stresses and displacements, which, in turn, have implications, for example, in breast registration. We also show that the choice of material properties plays a dramatic effect on the mechanical variables.
Subject(s)
Breast Neoplasms/pathology , Mammography/methods , Prone Position , Supine Position , Biomechanical Phenomena , Breast/pathology , Breast Density , Breast Neoplasms/diagnostic imaging , Female , Finite Element Analysis , Humans , Imaging, Three-Dimensional , Magnetic Resonance Imaging , Mammary Glands, Human/abnormalities , Models, Theoretical , Ultrasonography, MammaryABSTRACT
We develop a biomechanical model of an isolated stellate breast tumour under mammographic compression forces for a range of reported mechanical properties, both linear elastic and hyperelastic. We also introduce different volumes of increased density/stiffness around the tumour as well as a solid pressure effect. We show that each of these issues--well known to clinicians but ignored to date in models--has a non-negligible effect on stresses and strains/deformations.
Subject(s)
Breast Neoplasms/pathology , Mammography/methods , Algorithms , Biomechanical Phenomena , Breast/pathology , Collagen/chemistry , Computer Simulation , Diagnostic Imaging/methods , Elasticity , Female , Finite Element Analysis , Humans , Image Processing, Computer-Assisted , Magnetic Resonance Imaging/methods , Models, Anatomic , Models, Theoretical , Stress, MechanicalABSTRACT
We present a feature point detection algorithm which we use for non-rigid registration, illustrated for breast images (mammography, MRI). By associating the continuous intrinsic dimensionality of image structure with the output of a scale saliency algorithm, breast boundary points can be separated from internal feature points. Correspondences established for the breast boundary and internal feature points respectively are used to drive two recent non-rigid registration techniques: polyaffine transformation and coherent point drift registration. Experimental results are presented for digital breast tomosynthesis and 3D breast MRI, and in all case achieve good spatial alignments.
Subject(s)
Breast/anatomy & histology , Image Enhancement/methods , Image Interpretation, Computer-Assisted/methods , Imaging, Three-Dimensional/methods , Magnetic Resonance Imaging/methods , Pattern Recognition, Automated/methods , Subtraction Technique , Algorithms , Female , Humans , Reproducibility of Results , Sensitivity and SpecificityABSTRACT
The aim of this paper is to introduce effects well known to clinicians -but neglected to date- in the biomechanical modelling of breast malignant tumours. We develop a model of an isolated stellate breast tumour under mammographic compression forces. We study a range of reported mechanical properties, both linear elastic and hyperelastic. We also introduce different volumes of increased density/stiffness around the tumour. We show that each of these issues has a non-negligible effect on stresses and strains/deformations.
