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Fetal magnetic resonance image denoising based on homogeneity testing and Non Local Means

Haris, K. LU ; Kantasis, G.; Maglaveras, N. and Aletras, A. H. LU (2016) 42nd Computing in Cardiology Conference, 2015 In Computing in Cardiology 42. p.341-344
Abstract

A novel edge-preserving denoising method for MR images is proposed. Local statistical homogeneity testing is combined with the well-known for structure preserving properties, Non Local Means (NLM) denoising method. The detection of homogeneity reduces remarkably the computational effort required by NLM which is applied only to information-rich image areas. Preliminary qualitative results on fetal and cardiac MR images are shown. These initial results are positive proving the effective noise reduction with less computational load.

Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Computing in Cardiology
volume
42
pages
4 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
42nd Computing in Cardiology Conference, 2015
external identifiers
  • Scopus:84964077792
ISBN
9781509006854
DOI
10.1109/CIC.2015.7408656
language
English
LU publication?
yes
id
a6430c87-cca7-4cb6-9848-faa4a814606e
date added to LUP
2016-06-28 14:41:48
date last changed
2016-06-28 14:41:48
@misc{a6430c87-cca7-4cb6-9848-faa4a814606e,
  abstract     = {<p>A novel edge-preserving denoising method for MR images is proposed. Local statistical homogeneity testing is combined with the well-known for structure preserving properties, Non Local Means (NLM) denoising method. The detection of homogeneity reduces remarkably the computational effort required by NLM which is applied only to information-rich image areas. Preliminary qualitative results on fetal and cardiac MR images are shown. These initial results are positive proving the effective noise reduction with less computational load.</p>},
  author       = {Haris, K. and Kantasis, G. and Maglaveras, N. and Aletras, A. H.},
  isbn         = {9781509006854},
  language     = {eng},
  month        = {02},
  pages        = {341--344},
  publisher    = {ARRAY(0x913c730)},
  series       = {Computing in Cardiology},
  title        = {Fetal magnetic resonance image denoising based on homogeneity testing and Non Local Means},
  url          = {http://dx.doi.org/10.1109/CIC.2015.7408656},
  volume       = {42},
  year         = {2016},
}