Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2009-2-16
pubmed:abstractText
We have developed a method for white matter fiber tracking inferred from magnetic resonance diffusion tensor imaging (MR-DTI) to match functional and anatomical information in the human brain. Functional information was obtained using functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG). One of the major problems in fiber tracking based on MR-DTI is the error of fiber orientation estimation at areas of fiber crossing. Here, we propose a novel fiber tracking method involving searching for similarity of direction vectors in the vicinity of fiber crossing areas. The proposed method was tested on simulation images and its utility was validated. Subsequently, the method was applied to in vivo data, and we tried to fuse the data obtained with the method with functional information obtained from a newly developed fMRI-MEG integrative method. The fMRI-MEG integrative method successfully detected dynamic cortical activities in multiple visual areas, such as V1, V2, and V5, during an apparent visual motion perception task. Our fiber tracking results demonstrate that the present method can be used to confirm connectivity among multiple cortical areas associated with higher cognitive brain functions.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1557-170X
pubmed:author
pubmed:issnType
Print
pubmed:volume
2008
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
5498-501
pubmed:meshHeading
pubmed-meshheading:19163962-Adult, pubmed-meshheading:19163962-Algorithms, pubmed-meshheading:19163962-Artificial Intelligence, pubmed-meshheading:19163962-Brain, pubmed-meshheading:19163962-Brain Mapping, pubmed-meshheading:19163962-Cognition, pubmed-meshheading:19163962-Diffusion Magnetic Resonance Imaging, pubmed-meshheading:19163962-Female, pubmed-meshheading:19163962-Humans, pubmed-meshheading:19163962-Image Enhancement, pubmed-meshheading:19163962-Image Interpretation, Computer-Assisted, pubmed-meshheading:19163962-Male, pubmed-meshheading:19163962-Nerve Fibers, Myelinated, pubmed-meshheading:19163962-Nerve Net, pubmed-meshheading:19163962-Pattern Recognition, Automated, pubmed-meshheading:19163962-Reproducibility of Results, pubmed-meshheading:19163962-Sensitivity and Specificity, pubmed-meshheading:19163962-Young Adult
pubmed:year
2008
pubmed:articleTitle
An MR-DTI-based fiber tracking method for the multimodal integrative study of cognitive brain functions.
pubmed:affiliation
Electrical Engineering Department, Kyoto University, Kyoto 615-8510, Japan. tetsuo@kuee.kyoto-u.ac.jp
pubmed:publicationType
Journal Article