Image restoration (Denoising)
This project aims at improving image quality of x-ray images by developing appropriate image restoration techniques. The methods have been validated on Digital Mammography, Digital Breast Tomosynthesis and Molecular Breast images. A pre-clinical trial was conducted using clinical DBT patient data and human observers. A clinical trial is currently being conducted using MBI images and radiologist at a major clinical center in the USA.
Software
MC Insertion Package - Includes function, example code, and 11 segmented clusters of microcalcifications acquired using a Hologic system. Implemented using MATLAB R2016a. (v 1.0, 02/05/2019)
Publications
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NEW L.R. Borges; L. Azzari; P.R. Bakic; A.D.A. Maidment; M.A.C. Vieira; A. Foi. "Restoration of Low-Dose Digital Breast Tomosynthesis". Measurement Science and Technology, In Print, 2018. (doi) (PDF)
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NEW L.R. Borges; P.R. Bakic; A.D.A. Maidment; M.A.C. Vieira. “Restored Low-Dose Digital Breast Tomosynthesis: A Perception Study”. Proc. SPIE Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment, Houston, 2018. (doi) (PDF)
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L.R. Borges; P.R. Bakic; A. Foi; A.D.A. Maidment; M.A.C. Vieira. “Pipeline for Effective Denoising of Digital Mammography and Digital Breast Tomosynthesis”. Proc. SPIE Medical Imaging 2017: Physics of Medical Imaging, v.10132, Orlando, 2017. (doi) (PDF)
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L.R. Borges; A. Foi; C.B. Hruska; M.K. O’Connor; M.A.C. Vieira; A.D.A. Maidment. “Feasibility Study of Dose Reduction in Molecular Breast Imaging using Noisy-Denoised Weighting”. Proc. IEEE International Symposium on Biomedical Imaging, Melborne, 2017. (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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L.R. Borges; C. Hruska; M.K. O'Connor; M.A.C. Vieira; A.D.A. Maidment. "Bridging the GAP Between Digital Mammography and Molecular Breast Imaging". Radiological Society of North America (RSNA), Chicago, 2017. (PDF)
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P.F. Nunes; A.A. Bindilatti; H.C.R. Oliveira; L.R. Borges; P.R. Bakic; A.D.A. Maidment; N.D.A. Mascarenhas; M.A.C. Vieira. "Nova Proposta do Algorítmo de Médias Não-Locais para Filtragem do Ruído Quântico na Mamografia Digital". Proc. XXV Congresso Brasileiro de Engenharia Biomédica, p.1315-1318, Foz do Iguaçu, 2016. (PDF)
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P.F. Nunes; A.A. Bindilatti; H.C.R. Oliveira; L.R. Borges; P.R. Bakic; A.D.A. Maidment; N.D.A. Mascarenhas; M.A.C. Vieira. “Using the Non-local Means Algorithm to Denoise Mammographic Images Acquired with Reduced Radiation Dose”. Proc. XI Workshop de Visão Computacional, p.456-461, São Carlos, 2015. (PDF)
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H.C.R. Oliveira; P.F. Nunes; L.R. Borges; P.R. Bakic; A.D.A. Maidment; M.A.C. Vieira. “Evaluation of Block-Matching 3D and Wavelet Transform with Shrink-Thresholding Technique for Digital Mammography Denoising”. Proc. XI Workshop de Visão Computacional, p.450-455, São Carlos, 2015. (PDF)
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H.C.R. Oliveira; L.R. Borges; P.F. Nunes; P.R. Bakic; A.D.A. Maidment; M.A.C. Vieira. “Use of Wavelet Multiresolution Analysis to Reduce Radiation Dose in Digital Mammography”. Proc. IEEE Symposium on Computer-Based Medical Systems, p.33-37, São Carlos, 2015. (doi) (PDF)
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M.A.C. Vieira; H.C.R. Oliveira; P.F. Nunes; L.R. Borges; P.R. Bakic;B. Barufaldi; R.J. Acciavatti; A.D.A. Maidment. “Feasibility study of dose reduction in digital breast tomosynthesis using non-local denoising algorithms”. Proc. SPIE Medical Imaging 2015: Physics of Medical Imaging, vol.9412 ,Orlando, 2015. (doi) (PDF)
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H.C.R. Oliveira; P.F. Nunes; L.R. Borges; M.A.C. Vieira. “Investigating the use of Block-Matching 3D Denoising Algorithm to Reduce Radiation Dose in Digital Mammography”. Proc. X Workshop de Visão Computacional, p.224-228, Uberlândia, 2014. (PDF)
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P.F. Nunes; H.C.R. Oliveira; L.R. Borges; P.R. Bakic; A.D.A. Maidment; M.A.C. Vieira. “Uso do algoritmo de médias não-locais para filtragem do ruído de mamogramas adquiridos com dose reduzida”. Proc. XXIV Congresso Brasileiro de Engenharia Biomédica, p.1985-1988, Uberlândia, 2014. (PDF)
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L.C.S. Romualdo; M.A.C. Vieira; H. Schiabel; N.D.A. Mascarenhas; L.R. Borges. “Mammographic Image Denoising and Enhancement Using the Anscombe Transformation, Adaptive Wiener Filtering, and the Modulation Transfer Function”. Journal of Digital Imaging, v.26, p.183-197, 2013. (doi) (PDF)
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M.A.C. Vieira; N.D.A. Mascarenhas; L.R. Borges; H. Schiabel. “Metodologia para Redução de Ruído Quântico em Imagens Mamográficas e sua Aplicação em Sistemas Computacionais de Auxílio ao Diagnóstico (CAD)”. Proc. VIII Workshop de Visão Computacional, Goiânia, 2012. (PDF)