Technical Note: Noise models for virtual clinical trials of digital breast tomosynthesis-Reference-Cited by-同舟云学术

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

Published:2019-05-03 Issue:6 Volume:46 Page:2683-2689
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Borges Lucas R.¹²,Barufaldi Bruno³,Caron Renato F.⁴,Bakic Predrag R.³,Foi Alessandro²,Maidment Andrew D. A.³,Vieira Marcelo A. C.¹

Affiliation:

1. Department of Electrical and Computer Engineering University of São Paulo São Carlos SP 13566‐590Brazil

2. Laboratory of Signal Processing Tampere University Tampere 33720Finland

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

4. Barretos Cancer Hospital Pio XII Foundation Barretos SP14784‐400Brazil

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Burroughs Wellcome Fund

National Institutes of Health

Academy of Finland

European Commission

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13534

Reference27 articles.

1. Experimental validation of a three-dimensional linear system model for breast tomosynthesis

2. Optimization of the acquisition geometry in digital tomosynthesis of the breast

3. A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data

4. Does image quality matter? Impact of resolution and noise on mammographic task performance

5. On the noise variance of a digital mammography system

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2. Evaluating an image restoration pipeline for digital mammography across varied radiation exposures and microcalcification sizes using model observer analysis;17th International Workshop on Breast Imaging (IWBI 2024);2024-05-29

3. A Model for a Linear a-Se Detector in Simulated X-Ray Breast Imaging With Monte Carlo Software;IEEE Transactions on Radiation and Plasma Medical Sciences;2024-03

4. Virtual dosimetry study with three cone-beam breast computed tomography scanners using a fast GPU-based Monte Carlo code;Physics in Medicine & Biology;2024-02-14

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