Literature DB >> 30915385

Three-dimensionally-printed anthropomorphic physical phantom for mammography and digital breast tomosynthesis with custom materials, lesions, and uniform quality control region.

Andrea H Rossman1,2, Matthew Catenacci3, Christine Zhao1,2,4, Dhiraj Sikaria1,2, John E Knudsen1,2, Danielle Dawes1,2, Michael E Gehm4, Ehsan Samei1,2,4, Benjamin J Wiley3, Joseph Y Lo1,2,4.   

Abstract

Anthropomorphic breast phantoms mimic patient anatomy in order to evaluate clinical mammography and digital breast tomosynthesis system performance. Our goal is to create a modular phantom with an anthropomorphic region to allow for improved lesion and calcification detection as well as a uniform region to evaluate standard quality control (QC) metrics. Previous versions of this phantom used commercial photopolymer inkjet three-dimensional printers to recreate breast anatomy using four surfaces that were fabricated with commercial materials spanning only a limited breast density range of 36% to 64%. We use modified printers to create voxelized, dithered breast phantoms with continuous gradations between glandular and adipose tissues. Moreover, the new phantom replicates the low-end density (representing adipose tissue) using third party material, Jf Flexible, and increases the high-end density to the density of glandular tissue and beyond by either doping Jf Flexible with salts and nanoparticles or using a new commercial resin, VeroPureWhite. An insert design is utilized to add masses, calcifications, and iodinated objects into the phantom for increased utility. The uniform chest wall region provides a space for traditional QC objects such as line pair patterns for measuring resolution and scale bars for measuring printer linearity. Incorporating these distinct design modules enables us to create an improved, complete breast phantom to better evaluate clinical mammography systems for lesion and calcification detection and standard QC performance evaluation.

Entities:  

Keywords:  breast cancer; digital breast tomosynthesis; imaging phantom; mammography; three-dimensional printing

Year:  2019        PMID: 30915385      PMCID: PMC6428804          DOI: 10.1117/1.JMI.6.2.021604

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  16 in total

1.  A novel approach to digital breast tomosynthesis for simultaneous acquisition of 2D and 3D images.

Authors:  Sara Vecchio; Achille Albanese; Paolo Vignoli; Angelo Taibi
Journal:  Eur Radiol       Date:  2010-12-31       Impact factor: 5.315

2.  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

3.  The American College of Radiology Mammography Accreditation Program.

Authors:  R McLelland; R E Hendrick; M D Zinninger; P A Wilcox
Journal:  AJR Am J Roentgenol       Date:  1991-09       Impact factor: 3.959

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 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

6.  Assessing task performance in FFDM, DBT, and synthetic mammography using uniform and anthropomorphic physical phantoms.

Authors:  Lynda C Ikejimba; Stephen J Glick; Kingshuk Roy Choudhury; Ehsan Samei; Joseph Y Lo
Journal:  Med Phys       Date:  2016-10       Impact factor: 4.071

7.  A quantitative metrology for performance characterization of five breast tomosynthesis systems based on an anthropomorphic phantom.

Authors:  Lynda Ikejimba; Joseph Y Lo; Yicheng Chen; Nadia Oberhofer; Nooshin Kiarashi; Ehsan Samei
Journal:  Med Phys       Date:  2016-04       Impact factor: 4.071

8.  Impact of breast structure on lesion detection in breast tomosynthesis, a simulation study.

Authors:  Nooshin Kiarashi; Loren W Nolte; Joseph Y Lo; W Paul Segars; Sujata V Ghate; Justin B Solomon; Ehsan Samei
Journal:  J Med Imaging (Bellingham)       Date:  2016-09-13

9.  Development of realistic physical breast phantoms matched to virtual breast phantoms based on human subject data.

Authors:  Nooshin Kiarashi; Adam C Nolte; Gregory M Sturgeon; William P Segars; Sujata V Ghate; Loren W Nolte; Ehsan Samei; Joseph Y Lo
Journal:  Med Phys       Date:  2015-07       Impact factor: 4.071

10.  Comparative power law analysis of structured breast phantom and patient images in digital mammography and breast tomosynthesis.

Authors:  L Cockmartin; H Bosmans; N W Marshall
Journal:  Med Phys       Date:  2013-08       Impact factor: 4.071

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  3 in total

1.  Quantitative assessment of microcalcification cluster image quality in digital breast tomosynthesis, 2-dimensional and synthetic mammography.

Authors:  Andreas E Petropoulos; Spyros G Skiadopoulos; Anna N Karahaliou; Gerasimos A T Messaris; Nikolaos S Arikidis; Lena I Costaridou
Journal:  Med Biol Eng Comput       Date:  2019-12-07       Impact factor: 2.602

2.  Semi-anthropomorphic photoacoustic breast phantom.

Authors:  Maura Dantuma; Rianne van Dommelen; Srirang Manohar
Journal:  Biomed Opt Express       Date:  2019-10-29       Impact factor: 3.732

3.  X-ray attenuation of bone, soft and adipose tissue in CT from 70 to 140 kV and comparison with 3D printable additive manufacturing materials.

Authors:  Xiangjie Ma; Michael Figl; Ewald Unger; Martin Buschmann; Peter Homolka
Journal:  Sci Rep       Date:  2022-08-26       Impact factor: 4.996

  3 in total

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