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MRI diffusion-based filtering: a note on performance characterisation

Ghita, Ovidiu, Robinson, Kevin, Lynch, Michael and Whelan, Paul F. ORCID: 0000-0001-9230-7656 (2005) MRI diffusion-based filtering: a note on performance characterisation. Computerized Medical Imaging and Graphics, 29 (4). pp. 267-277. ISSN 0895-6111

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Abstract

Frequently MRI data is characterised by a relatively low signal to noise ratio (SNR) or contrast to noise ratio (CNR). When developing automated Computer Assisted Diagnostic (CAD) techniques the errors introduced by the image noise are not acceptable. Thus, to limit these errors, a solution is to filter the data in order to increase the SNR. More importantly, the image filtering technique should be able to reduce the level of noise, but not at the expense of feature preservation. In this paper we detail the implementation of a number of 3D diffusion-based filtering techniques and we analyse their performance when they are applied to a large collection of MR datasets of varying type and quality.

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:computer vision; image analysis; Algorithms; Diffusion Magnetic Resonance Imaging/methods; Humans; Imaging, Three-Dimensional; Normal Distribution; Radiographic Image Enhancement
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Publisher:Pergamon
Official URL:http://dx.doi.org/10.1016/j.compmedimag.2004.12.003
ID Code:18716
Deposited On:24 Sep 2013 13:50 by Mark Sweeney . Last Modified 16 Jan 2019 12:46

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