Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
Pt 1
pubmed:dateCreated
2007-12-4
pubmed:abstractText
Magnetic resonance diffusion imaging (dMRI) has become an established research tool for the investigation of tissue structure and orientation. In this paper, we present a method for real time processing of diffusion tensor and Q-ball imaging. The basic idea is to use Kalman filtering framework to fit either the linear tensor or Q-ball model. Because the Kalman filter is designed to be an incremental algorithm, it naturally enables updating the model estimate after the acquisition of any new diffusion-weighted volume. Processing diffusion models and maps during ongoing scans provides a new useful tool for clinicians, especially when it is not possible to predict how long a subject may remain still in the magnet.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:author
pubmed:volume
10
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
27-35
pubmed:dateRevised
2009-12-11
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Real-time MR diffusion tensor and Q-ball imaging using Kalman filtering.
pubmed:affiliation
CEA Neurospin - Bât. 145, 91191 Gif-sur-Yvette, France. cyril.poupon@cea.fr
pubmed:publicationType
Journal Article