Literature DB >> 30457568

Anthropomorphic breast model repository for research and development of microwave breast imaging technologies.

Muhammad Omer1, Elise Fear1.   

Abstract

A repository of anthropomorphic numerical breast models is made available for the scientific community to support research and development of microwave imaging technologies for diagnostic and therapeutic applications. These models are constructed from magnetic resonance imaging (MRI) scans acquired at our university hospital. Our 3D breast modelling method is used to translate the MRI scans into 3D models representing the geometry and microwave-frequency properties of tissues in the breast. The reconstructed models demonstrate anatomical realism, reconfigurable complexity, and flexibility to adapt to simulations of various microwave imaging techniques and prototype systems. With these models, realistic and rigorous test scenarios can be defined in simulations to support feasibility analysis, performance verification and design improvements of developing microwave imaging techniques, prior to testing on experimental systems. A repository of breast models is created which includes breasts of varying classification - fatty, scattered, heterogeneous, and dense. In addition, the models include brief documentation to facilitate researchers in selecting a model by matching its features with their requirements.

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Year:  2018        PMID: 30457568      PMCID: PMC6244182          DOI: 10.1038/sdata.2018.257

Source DB:  PubMed          Journal:  Sci Data        ISSN: 2052-4463            Impact factor:   6.444


  13 in total

1.  A finite element model to accurately predict real deformations of the breast.

Authors:  A Pérez del Palomar; B Calvo; J Herrero; J López; M Doblaré
Journal:  Med Eng Phys       Date:  2008-03-10       Impact factor: 2.242

2.  A large-scale study of the ultrawideband microwave dielectric properties of normal, benign and malignant breast tissues obtained from cancer surgeries.

Authors:  Mariya Lazebnik; Dijana Popovic; Leah McCartney; Cynthia B Watkins; Mary J Lindstrom; Josephine Harter; Sarah Sewall; Travis Ogilvie; Anthony Magliocco; Tara M Breslin; Walley Temple; Daphne Mew; John H Booske; Michal Okoniewski; Susan C Hagness
Journal:  Phys Med Biol       Date:  2007-10-01       Impact factor: 3.609

3.  Performance of leading artifact removal algorithms assessed across microwave breast imaging prototype scan configurations.

Authors:  M A Elahi; C Curtis; B R Lavoie; M Glavin; E Jones; E Fear; M O'Halloran
Journal:  Comput Med Imaging Graph       Date:  2017-03-02       Impact factor: 4.790

4.  Finite-element modeling of compression and gravity on a population of breast phantoms for multimodality imaging simulation.

Authors:  Gregory M Sturgeon; Nooshin Kiarashi; Joseph Y Lo; E Samei; W P Segars
Journal:  Med Phys       Date:  2016-05       Impact factor: 4.071

5.  Realistic microwave breast models through T1-weighted 3-D MRI data.

Authors:  Ahmet Hakan Tunçay; Ibrahim Akduman
Journal:  IEEE Trans Biomed Eng       Date:  2014-10-20       Impact factor: 4.538

6.  Integrating prior information into microwave tomography Part 1: Impact of detail on image quality.

Authors:  Douglas Kurrant; Anastasia Baran; Joe LoVetri; Elise Fear
Journal:  Med Phys       Date:  2017-10-23       Impact factor: 4.071

7.  Contrast-enhanced microwave imaging of breast tumors: a computational study using 3-D realistic numerical phantoms.

Authors:  J D Shea; P Kosmas; B D Van Veen; S C Hagness
Journal:  Inverse Probl       Date:  2010-07-01       Impact factor: 2.407

8.  A Robust and Artifact Resistant Algorithm of Ultrawideband Imaging System for Breast Cancer Detection.

Authors:  Falah H Ali; Constantino Carlos Reyes-Aldasoro
Journal:  IEEE Trans Biomed Eng       Date:  2015-01-15       Impact factor: 4.538

9.  Compound Radar Approach for Breast Imaging.

Authors:  Dallan Byrne; Mantalena Sarafianou; Ian J Craddock
Journal:  IEEE Trans Biomed Eng       Date:  2016-03-01       Impact factor: 4.538

10.  Development of anatomically realistic numerical breast phantoms with accurate dielectric properties for modeling microwave interactions with the human breast.

Authors:  Earl Zastrow; Shakti K Davis; Mariya Lazebnik; Frederick Kelcz; Barry D Van Veen; Susan C Hagness
Journal:  IEEE Trans Biomed Eng       Date:  2008-12       Impact factor: 4.538

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  1 in total

1.  Development of 3D MRI-Based Anatomically Realistic Models of Breast Tissues and Tumours for Microwave Imaging Diagnosis.

Authors:  Ana Catarina Pelicano; Maria C T Gonçalves; Daniela M Godinho; Tiago Castela; M Lurdes Orvalho; Nuno A M Araújo; Emily Porter; Raquel C Conceição
Journal:  Sensors (Basel)       Date:  2021-12-10       Impact factor: 3.576

  1 in total

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