Literature DB >> 12349935

Mammogram synthesis using a 3D simulation. I. Breast tissue model and image acquisition simulation.

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

Abstract

A method is proposed for generating synthetic mammograms based upon simulations of breast tissue and the mammographic imaging process. A computer breast model has been designed with a realistic distribution of large and medium scale tissue structures. Parameters controlling the size and placement of simulated structures (adipose compartments and ducts) provide a method for consistently modeling images of the same simulated breast with modified position or acquisition parameters. The mammographic imaging process is simulated using a compression model and a model of the x-ray image acquisition process. The compression model estimates breast deformation using tissue elasticity parameters found in the literature and clinical force values. The synthetic mammograms were generated by a mammogram acquisition model using a monoenergetic parallel beam approximation applied to the synthetically compressed breast phantom.

Mesh:

Year:  2002        PMID: 12349935     DOI: 10.1118/1.1501143

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


  30 in total

1.  Optimized generation of high resolution breast anthropomorphic software phantoms.

Authors:  David D Pokrajac; Andrew D A Maidment; Predrag R Bakic
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

2.  An analysis of the mechanical parameters used for finite element compression of a high-resolution 3D breast phantom.

Authors:  Christina M L Hsu; Mark L Palmeri; W Paul Segars; Alexander I Veress; James T Dobbins
Journal:  Med Phys       Date:  2011-10       Impact factor: 4.071

3.  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

4.  Evaluation of an improved algorithm for producing realistic 3D breast software phantoms: application for mammography.

Authors:  K Bliznakova; S Suryanarayanan; A Karellas; N Pallikarakis
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

5.  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

6.  Assessment of a fluorescence-enhanced optical imaging system using the Hotelling observer.

Authors:  Amit K Sahu; Amit Joshi; Matthew A Kupinski; Eva M Sevick-Muraca
Journal:  Opt Express       Date:  2006-08-21       Impact factor: 3.894

7.  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

8.  Evaluation of a variable dose acquisition technique for microcalcification and mass detection in digital breast tomosynthesis.

Authors:  Mini Das; Howard C Gifford; J Michael O'Connor; Stephen J Glick
Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

9.  A statistical, task-based evaluation method for three-dimensional x-ray breast imaging systems using variable-background phantoms.

Authors:  Subok Park; Robert Jennings; Haimo Liu; Aldo Badano; Kyle Myers
Journal:  Med Phys       Date:  2010-12       Impact factor: 4.071

10.  Synthetic breast phantoms from patient based eigenbreasts.

Authors:  Gregory M Sturgeon; Subok Park; William Paul Segars; Joseph Y Lo
Journal:  Med Phys       Date:  2017-10-19       Impact factor: 4.071

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