Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
Pt 2
pubmed:dateCreated
2006-5-11
pubmed:abstractText
Dynamic contrast-enhanced 4-D MR renography has the potential for broad clinical applications, but suffers from respiratory motion that limits analysis and interpretation. Since each examination yields at least over 10-20 serial 3-D images of the abdomen, manual registration is prohibitively labor-intensive. Besides in-plane motion and translation, out-of-plane motion and rotation are observed in the image series. In this paper, a novel robust and automated technique for removing out-of-plane translation and rotation with sub-voxel accuracy in 4-D dynamic MR images is presented. The method was evaluated on simulated motion data derived directly from a clinical patient's data. The method was also tested on 24 clinical patient kidney data sets. Registration results were compared with a mutual information method, in which differences between manually co-registered time-intensity curves and tested time-intensity curves were compared. Evaluation results showed that our method agreed well with these ground truth data.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:author
pubmed:volume
8
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
205-13
pubmed:dateRevised
2009-12-11
pubmed:meshHeading
pubmed-meshheading:16685961-Algorithms, pubmed-meshheading:16685961-Artificial Intelligence, pubmed-meshheading:16685961-Fourier Analysis, pubmed-meshheading:16685961-Humans, pubmed-meshheading:16685961-Image Enhancement, pubmed-meshheading:16685961-Image Interpretation, Computer-Assisted, pubmed-meshheading:16685961-Imaging, Three-Dimensional, pubmed-meshheading:16685961-Kidney Diseases, pubmed-meshheading:16685961-Magnetic Resonance Imaging, Cine, pubmed-meshheading:16685961-Numerical Analysis, Computer-Assisted, pubmed-meshheading:16685961-Radioisotope Renography, pubmed-meshheading:16685961-Reproducibility of Results, pubmed-meshheading:16685961-Sensitivity and Specificity, pubmed-meshheading:16685961-Signal Processing, Computer-Assisted, pubmed-meshheading:16685961-Subtraction Technique
pubmed:year
2005
pubmed:articleTitle
Automatic 4-D registration in dynamic MR renography based on over-complete dyadic wavelet and Fourier transforms.
pubmed:affiliation
Department of Biomedical Engineering, Columbia University, New York, NY, USA. ts2060@columbia.edu
pubmed:publicationType
Journal Article, Evaluation Studies