Literature DB >> 23892735

Simulation and assessment of realistic breast lesions using fractal growth models.

A Rashidnasab1, P Elangovan, M Yip, O Diaz, D R Dance, K C Young, K Wells.   

Abstract

A new method of generating realistic three dimensional simulated breast lesions known as diffusion limited aggregation (DLA) is presented, and compared with the random walk (RW) method. Both methods of lesion simulation utilize a physics-based method for inserting these simulated lesions into 2D clinical mammogram images that takes into account the polychromatic x-ray spectrum, local glandularity and scatter. DLA and RW masses were assessed for realism via a receiver operating characteristic (ROC) study with nine observers. The study comprised 150 images of which 50 were real pathology proven mammograms, 50 were normal mammograms with RW inserted masses and 50 were normal mammograms with DLA inserted masses. The average area under the ROC curve for the DLA method was 0.55 (95% confidence interval 0.51-0.59) compared to 0.60 (95% confidence interval 0.56-0.63) for the RW method. The observer study results suggest that the DLA method produced more realistic masses with more variability in shape compared to the RW method. DLA generated lesions can overcome the lack of complexity in structure and shape in many current methods of mass simulation.

Mesh:

Year:  2013        PMID: 23892735     DOI: 10.1088/0031-9155/58/16/5613

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  7 in total

1.  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

2.  A novel framework for evaluating the image accuracy of dynamic MRI and the application on accelerated breast DCE MRI.

Authors:  Yuan Le; Marcel Dominik Nickel; Stephan Kannengiesser; Berthold Kiefer; Bruce Spottiswoode; Brian Dale; Victor Soon; Chen Lin
Journal:  MAGMA       Date:  2017-09-11       Impact factor: 2.310

3.  Seamless Lesion Insertion for Data Augmentation in CAD Training.

Authors:  Aria Pezeshk; Nicholas Petrick; Berkman Sahiner
Journal:  IEEE Trans Med Imaging       Date:  2016-12-14       Impact factor: 10.048

4.  Seamless Insertion of Pulmonary Nodules in Chest CT Images.

Authors:  Aria Pezeshk; Berkman Sahiner; Rongping Zeng; Adam Wunderlich; Weijie Chen; Nicholas Petrick
Journal:  IEEE Trans Biomed Eng       Date:  2015-06-12       Impact factor: 4.538

5.  A computational model to generate simulated three-dimensional breast masses.

Authors:  Luis de Sisternes; Jovan G Brankov; Adam M Zysk; Robert A Schmidt; Robert M Nishikawa; Miles N Wernick
Journal:  Med Phys       Date:  2015-02       Impact factor: 4.071

6.  Development and evaluation of a method for tumor growth simulation in virtual clinical trials of breast cancer screening.

Authors:  Hanna Tomic; Anna Bjerkén; Gustav Hellgren; Kristin Johnson; Daniel Förnvik; Sophia Zackrisson; Anders Tingberg; Magnus Dustler; Predrag R Bakic
Journal:  J Med Imaging (Bellingham)       Date:  2022-06-06

7.  Virtual clinical trial to compare cancer detection using combinations of 2D mammography, digital breast tomosynthesis and synthetic 2D imaging.

Authors:  Alistair Mackenzie; Emma L Thomson; Melissa Mitchell; Premkumar Elangovan; Chantal van Ongeval; Lesley Cockmartin; Lucy M Warren; Louise S Wilkinson; Matthew G Wallis; Rosalind M Given-Wilson; David R Dance; Kenneth C Young
Journal:  Eur Radiol       Date:  2021-07-30       Impact factor: 5.315

  7 in total

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