Literature DB >> 28151431

Characterisation of noise and sharpness of images from four digital breast tomosynthesis systems for simulation of images for virtual clinical trials.

Alistair Mackenzie1, Nicholas W Marshall, Andria Hadjipanteli, David R Dance, Hilde Bosmans, Kenneth C Young.   

Abstract

In-depth evaluation of the noise and sharpness characteristics of FujiFilm Innovality, GE SenoClaire, Hologic Selenia Dimensions and Siemens Inspiration digital breast tomosynthesis (DBT) systems was performed with the intention of improving image simulation for virtual clinical trials. Noise power spectra (NPS) and modulation transfer function curves (MTF) were measured for planar modes and for the first and central projections for DBT modes. In DBT mode, the x-ray beam was blocked for the projections before the central projection in order to remove the influence of lag and ghosting from the previous images. A quadratic fit between the NPS and linearised pixel value gave the noise coefficients for planar and DBT imaging modes. The spatial frequencies corresponding to an MTF of 0.5 (MTF0.5) were calculated from the MTF measurements made on the breast support and at 40 mm above the breast support. This was done for the first and the central projections. The percentage of signal carried over from the first projection to subsequent images (lag) was measured using a slit. The noise associated with lag was also evaluated. The DBT modes typically had lower electronic noise coefficients but higher structural noise coefficients compared to the respective planar mode MTF0.5 measured 40 mm above the table was between 6% and 47% lower for continuous scanning systems compared to 1% lower for step and shoot systems. For wide angle DBT, the MTF0.5 of the first projection was 18% (FujiFilm) and 28% (Siemens) lower than for the central projection. Lag in the second projection was 2.2%, 0.3%, 0.8% for the FujiFilm, GE and Hologic systems respectively. In all cases, the noise associated with lag was negligible. Current modelling frameworks for virtual clinical trials of breast DBT systems need to be adapted to account for signals from lag and variations in the MTF at wide angles.

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Year:  2017        PMID: 28151431     DOI: 10.1088/1361-6560/aa5dd9

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


  8 in total

1.  Technical evaluation of image quality in synthetic mammograms obtained from 15° and 40° digital breast tomosynthesis in a commercial system: a quantitative comparison.

Authors:  Patrizio Barca; Rocco Lamastra; Raffaele Maria Tucciariello; Antonio Traino; Carolina Marini; Giacomo Aringhieri; Davide Caramella; Maria Evelina Fantacci
Journal:  Phys Eng Sci Med       Date:  2020-11-23

2.  Verification of the accuracy of a hybrid breast imaging simulation framework for virtual clinical trial applications.

Authors:  Liesbeth Vancoillie; Nicholas Marshall; Lesley Cockmartin; Janne Vignero; Guozhi Zhang; Hilde Bosmans
Journal:  J Med Imaging (Bellingham)       Date:  2020-04-22

3.  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

4.  Can Breast Compression Be Reduced in Digital Mammography and Breast Tomosynthesis?

Authors:  Greeshma A Agasthya; Ellen D'Orsi; Yoon-Jin Kim; Priyanka Handa; Christopher P Ho; Carl J D'Orsi; Ioannis Sechopoulos
Journal:  AJR Am J Roentgenol       Date:  2017-09-20       Impact factor: 3.959

Review 5.  The role of digital breast tomosynthesis in breast cancer screening: a manufacturer- and metrics-specific analysis.

Authors:  A Hadjipanteli; M Kontos; A Constantinidou
Journal:  Cancer Manag Res       Date:  2019-10-31       Impact factor: 3.989

Review 6.  The regulation of hyphae growth in Candida albicans.

Authors:  Hui Chen; Xuedong Zhou; Biao Ren; Lei Cheng
Journal:  Virulence       Date:  2020-12       Impact factor: 5.882

7.  Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial.

Authors:  Aldo Badano; Christian G Graff; Andreu Badal; Diksha Sharma; Rongping Zeng; Frank W Samuelson; Stephen J Glick; Kyle J Myers
Journal:  JAMA Netw Open       Date:  2018-11-02

8.  VIRTUAL CLINICAL TRIALS IN MEDICAL IMAGING SYSTEM EVALUATION AND OPTIMISATION.

Authors:  Bruno Barufaldi; Andrew D A Maidment; Magnus Dustler; Rebecca Axelsson; Hanna Tomic; Sophia Zackrisson; Anders Tingberg; Predrag R Bakic
Journal:  Radiat Prot Dosimetry       Date:  2021-10-12       Impact factor: 0.972

  8 in total

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