title: Large-scale propagation of ultrasound in a 3-D breast model based on high-resolution MRI data.
abstract: A 40 x 35 x 25-mm(3) specimen of human breast consisting mostly of fat and connective tissue was imaged using a 3-T magnetic resonance scanner. The resolutions in the image plane and in the orthogonal direction were 130 microm and 150 microm, respectively. Initial processing to prepare the data for segmentation consisted of contrast inversion, interpolation, and noise reduction. Noise reduction used a multilevel bidirectional median filter to preserve edges. The volume of data was segmented into regions of fat and connective tissue by using a combination of local and global thresholding. Local thresholding was performed to preserve fine detail, while global thresholding was performed to minimize the interclass variance between voxels classified as background and voxels classified as object. After smoothing the data to avoid aliasing artifacts, the segmented data volume was visualized using isosurfaces. The isosurfaces were enhanced using transparency, lighting, shading, reflectance, and animation. Computations of pulse propagation through the model illustrate its utility for the study of ultrasound aberration. The results show the feasibility of using the described combination of methods to demonstrate tissue morphology in a form that provides insight about the way ultrasound beams are aberrated in three dimensions by tissue.
authors.affiliation: Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY 14627, USA. salahuragh@yahoo.com
authors.forename: Gheorghe
authors.initials: G
authors.lastname: Salahura
authors.forename: Jason C
authors.initials: JC
authors.lastname: Tillett
authors.forename: Leon A
authors.initials: LA
authors.lastname: Metlay
authors.forename: Robert C
authors.initials: RC
authors.lastname: Waag
mesh_terms: D000465:Algorithms; D001940:Breast / Q000033:anatomy & histology / Q000502:physiology*; D003198:Computer Simulation; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008954:Models, Biological; D015203:Reproducibility of Results; D012542:Scattering, Radiation; D012680:Sensitivity and Specificity; D016217:Ultrasonography, Mammary / Q000379:methods*