| Diffusion tensor imaging in cerebral tumor diagnosis and therapy. | |
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MedLine Citation:
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PMID: 15627005 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Diffusion-weighted MR images and their analysis using the tensor model open up many new possibilities for tissue characterization, surgical planning, and treatment follow-up in patients with cerebral neoplasms. These possibilities are only just beginning to be fully explored. This article reviews the physical principles underlying diffusion tensor imaging (DTI); the various postprocessing methods available for DTI data in the context of tumor imaging; the commonly encountered patterns of tumor-related alteration to cerebral white matter, as depicted by directionally encoded color maps; and the current state of the art in DTI-based tumor diagnosis and treatment planning. |
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Authors:
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Aaron S Field; Andrew L Alexander |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, P.H.S.; Review |
Journal Detail:
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Title: Topics in magnetic resonance imaging : TMRI Volume: 15 ISSN: 0899-3459 ISO Abbreviation: Top Magn Reson Imaging Publication Date: 2004 Oct |
Date Detail:
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Created Date: 2004-12-31 Completed Date: 2005-06-21 Revised Date: 2007-11-14 |
Medline Journal Info:
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Nlm Unique ID: 8913523 Medline TA: Top Magn Reson Imaging Country: United States |
Other Details:
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Languages: eng Pagination: 315-24 Citation Subset: IM |
Affiliation:
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Departments of Radiology and Biomedical Engineering, University of Wisconsin, Madison, WI, USA. as.field@hosp.wisc.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Anisotropy Brain Neoplasms / diagnosis*, therapy Diagnosis, Differential Diffusion Magnetic Resonance Imaging / methods* Humans Image Processing, Computer-Assisted Patient Care Planning Sensitivity and Specificity |
| Grant Support | |
ID/Acronym/Agency:
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EB002012/EB/NIBIB NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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