| About the background distribution in MR data: a local variance study. | |
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MedLine Citation:
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PMID: 20456894 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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A model for the distribution of the sample local variance (SLV) of magnetic resonance data is proposed. It is based on a bimodal Gamma distribution, whose maxima are related to the signal and background areas of the image. The model is valid for single- and multiple-coil systems. The proposed distribution allows us to characterize some signal/background properties in MR data. As an example, the model is used to study the effect of the background size over noise estimation techniques and a method to test the validity of background-based noise estimators is presented. |
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Authors:
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Santiago Aja-Fernández; Gonzalo Vegas-Sánchez-Ferrero; Antonio Tristán-Vega |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2010-04-24 |
Journal Detail:
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Title: Magnetic resonance imaging Volume: 28 ISSN: 1873-5894 ISO Abbreviation: Magn Reson Imaging Publication Date: 2010 Jun |
Date Detail:
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Created Date: 2010-05-21 Completed Date: 2010-09-28 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8214883 Medline TA: Magn Reson Imaging Country: Netherlands |
Other Details:
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Languages: eng Pagination: 739-52 Citation Subset: IM |
Copyright Information:
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Copyright 2010 Elsevier Inc. All rights reserved. |
Affiliation:
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LPI, ETSI Telecomunicacion, Universidad de Valladolid, Valladolid, Spain. sanaja@tel.uva.es |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Analysis of Variance Brain / anatomy & histology* Computer Simulation Data Interpretation, Statistical Humans Image Interpretation, Computer-Assisted / methods* Magnetic Resonance Imaging / methods* Models, Biological Models, Statistical Reproducibility of Results Sensitivity and Specificity Statistical Distributions |
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