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MRI noise estimation and denoising using non-local PCA

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MRI noise estimation and denoising using non-local PCA

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Manjón Herrera, JV.; Coupé, P.; Buades, A. (2015). MRI noise estimation and denoising using non-local PCA. Medical Image Analysis. 22(1):35-47. doi:10.1016/j.media.2015.01.004

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Title: MRI noise estimation and denoising using non-local PCA
Author: Manjón Herrera, José Vicente Coupé, Pierrick Buades, Antonio
UPV Unit: Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Issued date:
This paper proposes a novel method for MRI denoising that exploits both the sparseness and self-similarity properties of the MR images. The proposed method is a two-stage approach that first filters the noisy image using ...[+]
Subjects: MRI , Denosing , PCA , Sparseness , Non-local means
Copyrigths: Reserva de todos los derechos
Medical Image Analysis. (issn: 1361-8415 )
DOI: 10.1016/j.media.2015.01.004
Publisher version: http://dx.doi.org/10.1016/j.media.2015.01.004
Project ID:
info:eu-repo/grantAgreement/ANR//ANR-10-IDEX-0003/FR/Initiative d’excellence de l’Université de Bordeaux/IDEX BORDEAUX/
info:eu-repo/grantAgreement/ANR//ANR-10-LABX-0057/FR/Translational Research and Advanced Imaging Laboratory/TRAIL/
Description: NOTICE: this is the author’s version of a work that was accepted for publication in Medical Image AnalysisChanges resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Medical Image Analysis, [Volume 22, Issue 1, May 2015, Pages 35–47] DOI 10.1016/j.media.2015.01.004
We are grateful to Dr. Matteo Mangioni and Dr. Alessandro Foi for their help on running their BM4D method in our comparisons. We want also to thank Dr. Luis Marti-Bonmati and Dr. Angel Alberich-Bayarri from Quiron Hospital ...[+]
Type: Artículo



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