| Nonrigid registration of joint histograms for intensity standardization in magnetic resonance imaging. | |
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MedLine Citation:
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PMID: 19116196 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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A major disadvantage of magnetic resonance imaging (MRI) compared to other imaging modalities like computed tomography is the fact that its intensities are not standardized. Our contribution is a novel method for MRI signal intensity standardization of arbitrary MRI scans, so as to create a pulse sequence dependent standard intensity scale. The proposed method is the first approach that uses the properties of all acquired images jointly (e.g., T1- and T2-weighted images). The image properties are stored in multidimensional joint histograms. In order to normalize the probability density function (pdf) of a newly acquired data set, a nonrigid image registration is performed between a reference and the joint histogram of the acquired images. From this matching a nonparametric transformation is obtained, which describes a mapping between the corresponding intensity spaces and subsequently adapts the image properties of the newly acquired series to a given standard. As the proposed intensity standardization is based on the probability density functions of the data sets only, it is independent of spatial coherence or prior segmentations of the reference and current images. Furthermore, it is not designed for a particular application, body region or acquisition protocol. The evaluation was done using two different settings. First, MRI head images were used, hence the approach can be compared to state-of-the-art methods. Second, whole body MRI scans were used. For this modality no other normalization algorithm is known in literature. The Jeffrey divergence of the pdfs of the whole body scans was reduced by 45%. All used data sets were acquired during clinical routine and thus included pathologies. |
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Authors:
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Florian Jäger; Joachim Hornegger |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: IEEE transactions on medical imaging Volume: 28 ISSN: 1558-254X ISO Abbreviation: IEEE Trans Med Imaging Publication Date: 2009 Jan |
Date Detail:
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Created Date: 2008-12-31 Completed Date: 2009-03-18 Revised Date: 2012-04-24 |
Medline Journal Info:
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Nlm Unique ID: 8310780 Medline TA: IEEE Trans Med Imaging Country: United States |
Other Details:
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Languages: eng Pagination: 137-50 Citation Subset: IM |
Affiliation:
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Pattern Recognition, Friedrich-Alexander-UniversityErlangen-Nuremberg, 91058 Erlangen, Germany. jaeger@informatik.uni-erlangen.de |
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| MeSH Terms | |
Descriptor/Qualifier:
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Brain
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pathology Humans Image Processing, Computer-Assisted / methods Information Storage and Retrieval / methods, standards Magnetic Resonance Imaging / methods, standards* Multiple Sclerosis / pathology Pattern Recognition, Automated / methods Reference Standards Signal Processing, Computer-Assisted* Subtraction Technique Whole Body Imaging |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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