| pubmed-article:16685961 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:16685961 | lifeskim:mentions | umls-concept:C1514821 | lld:lifeskim |
| pubmed-article:16685961 | lifeskim:mentions | umls-concept:C0205554 | lld:lifeskim |
| pubmed-article:16685961 | lifeskim:mentions | umls-concept:C0205917 | lld:lifeskim |
| pubmed-article:16685961 | lifeskim:mentions | umls-concept:C0282183 | lld:lifeskim |
| pubmed-article:16685961 | lifeskim:mentions | umls-concept:C1705938 | lld:lifeskim |
| pubmed-article:16685961 | lifeskim:mentions | umls-concept:C1527178 | lld:lifeskim |
| pubmed-article:16685961 | pubmed:issue | Pt 2 | lld:pubmed |
| pubmed-article:16685961 | pubmed:dateCreated | 2006-5-11 | lld:pubmed |
| pubmed-article:16685961 | 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. | lld:pubmed |
| pubmed-article:16685961 | pubmed:language | eng | lld:pubmed |
| pubmed-article:16685961 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:16685961 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:16685961 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:16685961 | pubmed:author | pubmed-author:RusinekHenryH | lld:pubmed |
| pubmed-article:16685961 | pubmed:author | pubmed-author:KaurManmeenM | lld:pubmed |
| pubmed-article:16685961 | pubmed:author | pubmed-author:LeeVivian SVS | lld:pubmed |
| pubmed-article:16685961 | pubmed:author | pubmed-author:LaineAndrew... | lld:pubmed |
| pubmed-article:16685961 | pubmed:author | pubmed-author:SongTingT | lld:pubmed |
| pubmed-article:16685961 | pubmed:volume | 8 | lld:pubmed |
| pubmed-article:16685961 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:16685961 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:16685961 | pubmed:pagination | 205-13 | lld:pubmed |
| pubmed-article:16685961 | pubmed:dateRevised | 2009-12-11 | lld:pubmed |
| pubmed-article:16685961 | pubmed:meshHeading | pubmed-meshheading:16685961... | lld:pubmed |
| pubmed-article:16685961 | pubmed:meshHeading | pubmed-meshheading:16685961... | lld:pubmed |
| pubmed-article:16685961 | pubmed:meshHeading | pubmed-meshheading:16685961... | lld:pubmed |
| pubmed-article:16685961 | pubmed:meshHeading | pubmed-meshheading:16685961... | lld:pubmed |
| pubmed-article:16685961 | pubmed:meshHeading | pubmed-meshheading:16685961... | lld:pubmed |
| pubmed-article:16685961 | pubmed:meshHeading | pubmed-meshheading:16685961... | lld:pubmed |
| pubmed-article:16685961 | pubmed:meshHeading | pubmed-meshheading:16685961... | lld:pubmed |
| pubmed-article:16685961 | pubmed:meshHeading | pubmed-meshheading:16685961... | lld:pubmed |
| pubmed-article:16685961 | pubmed:meshHeading | pubmed-meshheading:16685961... | lld:pubmed |
| pubmed-article:16685961 | pubmed:meshHeading | pubmed-meshheading:16685961... | lld:pubmed |
| pubmed-article:16685961 | pubmed:meshHeading | pubmed-meshheading:16685961... | lld:pubmed |
| pubmed-article:16685961 | pubmed:meshHeading | pubmed-meshheading:16685961... | lld:pubmed |
| pubmed-article:16685961 | pubmed:meshHeading | pubmed-meshheading:16685961... | lld:pubmed |
| pubmed-article:16685961 | pubmed:meshHeading | pubmed-meshheading:16685961... | lld:pubmed |
| pubmed-article:16685961 | pubmed:meshHeading | pubmed-meshheading:16685961... | lld:pubmed |
| pubmed-article:16685961 | pubmed:year | 2005 | lld:pubmed |
| pubmed-article:16685961 | pubmed:articleTitle | Automatic 4-D registration in dynamic MR renography based on over-complete dyadic wavelet and Fourier transforms. | lld:pubmed |
| pubmed-article:16685961 | pubmed:affiliation | Department of Biomedical Engineering, Columbia University, New York, NY, USA. ts2060@columbia.edu | lld:pubmed |
| pubmed-article:16685961 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:16685961 | pubmed:publicationType | Evaluation Studies | lld:pubmed |
| http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:16685961 | lld:pubmed |
