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Simulation of dose reduction

This project aims at creating algorithms to simulate dose reduction in images corrupted by Poisson-Gaussian noise. We have performed validation studies using Digital Mammography, Digital Breast Tomosynthesis and Fluorescent Cells images. A pre-clinical trial study was conducted using clinical DBT patient data and human observers.

Software

Dose Reduction Package - Includes function, example code, noise parameters and correlation kernel estimated from two commercial DBT systems. Implemented using MATLAB R2016a. (v 1.0, 08/26/2018)

Publications

  • NEW F.A. Brito; L.R. Borges; I. Guerrero; P.R. Bakic; A.D.A. Maidment; M.A.C. Vieira. “Application of neural networks to model the signal-dependent noise of a digital breast tomosynthesis unit”. Proc. SPIE Medical Imaging 2018: Physics of Medical Imaging, Houston, 2018. (doi) (PDF)

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  • L.R. Borges; I. Guerrero; P.R. Bakic; A. Foi; A.D.A. Maidment; M.A.C. Vieira. "Method for Simulating Dose Reduction in Digital Breast Tomosynthesis". IEEE Transactions on Medical Imaging, v.36, p.2331-2342, 2017. (doi) (PDF)

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  • L.R. Borges; M.A.C. Vieira. "Reduction of Radiation Dose in Breast Cancer Screening Programs". Doctoral College Conference, Guildford, 2017. (PDF)

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  • I. Guerrero; L.R. Borges; M.A.C. Vieira. "Correção do espectro de potência do ruído na simulação de redução da dose de radiação em imagens de tomossíntese digital mamária". Proc. XXII Congresso Brasileiro de Física Médica, Ribeirão Preto, 2017. (PDF)

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  • L.R. Borges; M.A.C. Vieira; A. Foi. “Unbiased Injection of Signal-Dependent Noise in Variance-Stabilized Range”. IEEE Signal Processing Letters, v.23, p.1494-1498, 2016. (doi) (PDF)

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  • L.R. Borges; H.C.R. Oliveira; P.F. Nunes; P.R. Bakic; A.D.A. Maidment; M.A.C. Vieira. “Method for simulating dose reduction in digital mammography using the Anscombe transformation”. Medical Physics, v.43, p.2704-2714, 2016. (doi) (PDF)

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  • L.R. Borges; I. Guerrero; P.R. Bakic; A.D.A. Maidment; H. Schiabel; M.A.C. Vieira. “Simulation of Dose Reduction in Digital Breast Tomosynthesis”. Breast Imaging, v.9699, p.343-350, 2016. (doi) (PDF)

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  • L. R. Borges; M.A.C. Vieira; A. Foi. “Unbiased Noise Injection in Variance-Stabilized Range”. SIAM Conference on Imaging Science, Albuquerque, 2016. (PDF)

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  • L.R. Borges; M.A.C Vieira; A. Foi. “Unbiased Injection of Signal-Dependent Noise in Variance- Stabilized Range”. IEEE Workshop on Statistical Signal Processing, Palma de Mallorca, 2016. (PDF)

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  • L.R. Borges; I. Guerrero; P.R. Bakic; A.D.A. Maidment; M.A.C. Vieira. "Gaussian-Poisson noise estimation from individual mammography images". Proc. XII Workshop de Visão Computacional, p.364-369, Campo Grande, 2016. (PDF)

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  • L.R. Borges; H.C.R. Oliveira; P.F. Nunes; M.A.C. Vieira. “Method for inserting noise in digital mammography to simulate reduction in radiation dose”. Proc. SPIE Medical Imaging 2015: Physics of Medical Imaging, v.9412, Orlando, 2015. (doi) (PDF)

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  • L.R. Borges; H.C.R. Oliveira; P.F. Nunes; M.A.C. Vieira. “Method of Inserting Poisson Noise in Digital Mammography Images to Simulate Radiation Dose Reduction”. Proc. X Workshop de Visão Computacional, p.316-320, Uberlândia, 2014. (PDF)

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  • M.A.C. Vieira; L.R. Borges; H.C.R. Oliveira; P.F. Nunes. “Método para simulação da redução da dose de radiação na mamografia”. Proc. XIX Congresso Brasileiro de Física Médica, Goiânia, 2014. (PDF)

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