Technical Note: Noise models for virtual clinical trials of digital breast tomosynthesis.

digital breast tomosynthesis electronic noise noise simulation quantum noise virtual clinical trials

Journal

Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 23 08 2018
revised: 01 04 2019
accepted: 02 04 2019
pubmed: 12 4 2019
medline: 23 11 2019
entrez: 12 4 2019
Statut: ppublish

Résumé

To investigate the use of an affine-variance noise model, with correlated quantum noise and spatially dependent quantum gain, for the simulation of noise in virtual clinical trials (VCT) of digital breast tomosynthesis (DBT). Two distinct technologies were considered: an amorphous-selenium (a-Se) detector with direct conversion and a thallium-doped cesium iodide (CsI(Tl)) detector with indirect conversion. A VCT framework was used to generate noise-free projections of a uniform three-dimensional simulated phantom, whose geometry and absorption match those of a polymethyl methacrylate (PMMA) uniform physical phantom. The noise model was then used to generate noisy observations from the simulated noise-free data, while two clinically available DBT units were used to acquire projections of the PMMA physical phantom. Real and simulated projections were then compared using the signal-to-noise ratio (SNR) and normalized noise power spectrum (NNPS). Simulated images reported errors smaller than 4.4% and 7.0% in terms of SNR and NNPS, respectively. These errors are within the expected variation between two clinical units of the same model. The errors increase to 65.8% if uncorrelated models are adopted for the simulation of systems featuring indirect detection. The assumption of spatially independent quantum gain generates errors of 11.2%. The investigated noise model can be used to accurately reproduce the noise found in clinical DBT. The assumption of uncorrelated noise may be adopted if the system features a direct detector with minimal pixel crosstalk.

Identifiants

pubmed: 30972769
doi: 10.1002/mp.13534
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2683-2689

Subventions

Organisme : São Paulo Research Foundation
ID : FAPESP 2016/25750-0
Organisme : Burroughs Wellcome Fund
ID : IRSA 1016451
Organisme : Komen Foundation
ID : IIRI326610
Organisme : National Institutes of Health and National Cancer Institute
ID : 1R01CA154444
Organisme : Academy of Finland
ID : 310779
Organisme : European Commission
ID : FP7-PEOPLE-ITN-2013-607290

Informations de copyright

© 2019 American Association of Physicists in Medicine.

Auteurs

Lucas R Borges (LR)

Department of Electrical and Computer Engineering, University of São Paulo, São Carlos, SP, 13566-590, Brazil.
Laboratory of Signal Processing, Tampere University, Tampere, 33720, Finland.

Bruno Barufaldi (B)

Department of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, USA.

Renato F Caron (RF)

Barretos Cancer Hospital, Pio XII Foundation, Barretos, SP, 14784-400, Brazil.

Predrag R Bakic (PR)

Department of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, USA.

Alessandro Foi (A)

Laboratory of Signal Processing, Tampere University, Tampere, 33720, Finland.

Andrew D A Maidment (ADA)

Department of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, USA.

Marcelo A C Vieira (MAC)

Department of Electrical and Computer Engineering, University of São Paulo, São Carlos, SP, 13566-590, Brazil.

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Classifications MeSH