12648802

Source:http://linkedlifedata.com/resource/pubmed/id/12648802

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0012222, umls-concept:C0175631, umls-concept:C0332185, umls-concept:C0449851, umls-concept:C0725066, umls-concept:C1537007, umls-concept:C2827662
pubmed:issue	1
pubmed:dateCreated	2003-3-21
pubmed:abstractText	Recently, diffusion tensor imaging is attracting the biomedical researchers for its application in depiction of fiber tracts based on diffusion anisotropy. In this paper, we briefly describe the basic theory of diffusion tensor MR imaging, the determination process of diffusion tensor, and the basic concepts of diffusion tensor visualization techniques. Several results of clinical application in our institute are also introduced. Finally, the limitations, advantages and disadvantages of the techniques are discussed for further application of diffusion tensor visualization.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/8106411
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Apr
pubmed:issn	0720-048X
pubmed:author	pubmed-author:AbeOsamuO, pubmed-author:AokiShigekiS, pubmed-author:HayashiNaotoN, pubmed-author:MasutaniYoshitakaY, pubmed-author:OtomoKuniK
pubmed:copyrightInfo	Copyright 2002 Elsevier Science Ireland Ltd.
pubmed:issnType	Print
pubmed:volume	46
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	53-66
pubmed:dateRevised	2005-11-16
pubmed:meshHeading	pubmed-meshheading:12648802-Anisotropy, pubmed-meshheading:12648802-Brain, pubmed-meshheading:12648802-Humans, pubmed-meshheading:12648802-Imaging, Three-Dimensional, pubmed-meshheading:12648802-Magnetic Resonance Imaging, pubmed-meshheading:12648802-Models, Theoretical, pubmed-meshheading:12648802-Sensitivity and Specificity
pubmed:year	2003
pubmed:articleTitle	MR diffusion tensor imaging: recent advance and new techniques for diffusion tensor visualization.
pubmed:affiliation	Image Computing and Analysis Laboratory, Department of Radiology, University of Tokyo (UT-RAD/ICAL), 7-3-1 Hongo Bunkyo-Ku, Tokyo 113-8655, Japan.
pubmed:publicationType	Journal Article, Review