Linked Life Data

17707712

Source:http://linkedlifedata.com/resource/pubmed/id/17707712

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2007-10-22
pubmed:abstractText
We have developed a general framework which employs quantitative computed tomography (QCT) imaging and inter-subject image registration to model the three-dimensional structure of the hip, with the goal of quantifying changes in the spatial distribution of bone as it is affected by aging, drug treatment or mechanical unloading. We have adapted rigid and non-rigid inter-subject registration techniques to transform groups of hip QCT scans into a common reference space and to construct composite proximal femoral models. We have applied this technique to a longitudinal study of 16 astronauts who on average, incurred high losses of hip bone density during spaceflights of 4-6 months on the International Space Station (ISS). We compared the pre-flight and post-flight composite hip models, and observed the gradients of the bone loss distribution. We performed paired t-tests, on a voxel by voxel basis, corrected for multiple comparisons using false discovery rate (FDR), and observed regions inside the proximal femur that showed the most significant bone loss. To validate our registration algorithm, we selected the 16 pre-flight scans and manually marked 4 landmarks for each scan. After registration, the average distance between the mapped landmarks and the corresponding landmarks in the target scan was 2.56 mm. The average error due to manual landmark identification was 1.70 mm.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/17707712-10476839, http://linkedlifedata.com/resource/pubmed/commentcorrection/17707712-10653034, http://linkedlifedata.com/resource/pubmed/commentcorrection/17707712-11310203, http://linkedlifedata.com/resource/pubmed/commentcorrection/17707712-11906227, http://linkedlifedata.com/resource/pubmed/commentcorrection/17707712-12846428, http://linkedlifedata.com/resource/pubmed/commentcorrection/17707712-14500804, http://linkedlifedata.com/resource/pubmed/commentcorrection/17707712-15125798, http://linkedlifedata.com/resource/pubmed/commentcorrection/17707712-16093464, http://linkedlifedata.com/resource/pubmed/commentcorrection/17707712-16199215, http://linkedlifedata.com/resource/pubmed/commentcorrection/17707712-17144789, http://linkedlifedata.com/resource/pubmed/commentcorrection/17707712-8126267, http://linkedlifedata.com/resource/pubmed/commentcorrection/17707712-9213015
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
8756-3282
pubmed:author
pubmed:issnType
Print
pubmed:volume
41
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
888-95
pubmed:dateRevised
2011-3-14
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Voxel-based modeling and quantification of the proximal femur using inter-subject registration of quantitative CT images.
pubmed:affiliation
Department of Radiology, University of California San Francisco, San Francisco, CA 94143, USA. wenjun.li@radiology.ucsf.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Research Support, N.I.H., Extramural