Literature DB >> 12906210

Mammogram synthesis using a three-dimensional simulation. III. Modeling and evaluation of the breast ductal network.

Predrag R Bakic1, Michael Albert, Dragana Brzakovic, Andrew D A Maidment.   

Abstract

A method is proposed for realistic simulation of the breast ductal network as part of a computer three-dimensional (3-D) breast phantom. The ductal network is simulated using tree models. Synthetic trees are generated based upon a description of ductal branching by ramification matrices (R matrices), whose elements represent the probabilities of branching at various levels of a tree. We simulated the ductal network of the breast, consisting of multiple lobes, by random binary trees (RBT). Each lobe extends from the ampulla and consists of branching ductal segments of decreasing size, and the associated terminal ductal-lobular units. The lobes follow curved paths that project from the nipple toward the chest wall. We have evaluated the RBT model by comparing manually-traced ductal networks from 25 projections of ductal lobes in clinical galactograms and manually-traced networks from 23 projections of synthetic RBTs. A root-mean-square (rms) fractional error of 41%, between the R-matrix elements corresponding to clinical and synthetic images, was computed. This difference was influenced by projection and segmentation artifacts and by the limited number of available images. In addition, we analyzed 23 synthetic trees generated using R matrices computed from clinical images. A comparison of these synthetic and clinical images yielded a rms fractional error of 11%, suggesting the possibility that a more appropriate model of the ductal branching morphology may be developed. Rejection of the RBT model also suggests the existence of a relationship between ductal branching morphology and the state of mammary developmentand pathology.

Entities:  

Mesh:

Year:  2003        PMID: 12906210     DOI: 10.1118/1.1586453

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  14 in total

1.  A statistically defined anthropomorphic software breast phantom.

Authors:  Beverly A Lau; Ingrid Reiser; Robert M Nishikawa; Predrag R Bakic
Journal:  Med Phys       Date:  2012-06       Impact factor: 4.071

2.  Matching methods evaluation framework for stereoscopic breast x-ray images.

Authors:  Johanna Rousson; Mathieu Naudin; Cédric Marchessoux
Journal:  J Med Imaging (Bellingham)       Date:  2015-11-18

3.  Population of 224 realistic human subject-based computational breast phantoms.

Authors:  David W Erickson; Jered R Wells; Gregory M Sturgeon; Ehsan Samei; James T Dobbins; W Paul Segars; Joseph Y Lo
Journal:  Med Phys       Date:  2016-01       Impact factor: 4.071

4.  Methodology for generating a 3D computerized breast phantom from empirical data.

Authors:  Christina M Li; W Paul Segars; Georgia D Tourassi; John M Boone; James T Dobbins
Journal:  Med Phys       Date:  2009-07       Impact factor: 4.071

5.  Development and characterization of an anthropomorphic breast software phantom based upon region-growing algorithm.

Authors:  Predrag R Bakic; Cuiping Zhang; Andrew D A Maidment
Journal:  Med Phys       Date:  2011-06       Impact factor: 4.071

6.  Development of a physical 3D anthropomorphic breast phantom.

Authors:  Ann-Katherine Carton; Predrag Bakic; Christer Ullberg; Helen Derand; Andrew D A Maidment
Journal:  Med Phys       Date:  2011-02       Impact factor: 4.071

7.  Anthropomorphic dual-lattice voxel models for optimizing image quality and dose.

Authors:  Nina Petoussi-Henss; Helmut Schlattl; Janine Becker; Matthias Greiter; Maria Zankl; Christoph Hoeschen
Journal:  J Med Imaging (Bellingham)       Date:  2017-03-30

8.  Objective models of compressed breast shapes undergoing mammography.

Authors:  Steve Si Jia Feng; Bhavika Patel; Ioannis Sechopoulos
Journal:  Med Phys       Date:  2013-03       Impact factor: 4.071

9.  Generation of voxelized breast phantoms from surgical mastectomy specimens.

Authors:  J Michael O'Connor; Mini Das; Clay S Dider; Mufeed Mahd; Stephen J Glick
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

10.  Generation of a suite of 3D computer-generated breast phantoms from a limited set of human subject data.

Authors:  Christina M L Hsu; Mark L Palmeri; W Paul Segars; Alexander I Veress; James T Dobbins
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.