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Holden, M.* ; Schnabel, J.A.* ; Hill, D.L.G.*

Quantifying small changes in brain ventricular volume using non-rigid registration.

In: (International Conference on Medical Image Computing and Computer-Assisted Intervention). Berlin [u.a.]: Springer, 2001. 49-56 (Lect. Notes Comput. Sc. ; 2208)
DOI
Open Access Green as soon as Postprint is submitted to ZB.
Non-rigid registration can automatically quantify small changes in volume of anatomical structures over time by means of segmentation propagation. Here we use a non-rigid registration algorithm based on optimising normalised mutual information to quantify small changes in brain ventricular volume in MR images of a group of five patients treated with growth hormone replacement therapy and a control group of six volunteers. The lateral ventricles are segmented from each subject image by registering the brainweb image [1] which has this structure delineated. The mean (standard deviation) volume change measurements are 1.09cc (0.73cc) for the patient group and 0.08cc (0.62cc) for the volunteer group, this difference is statistically significant at the 1% level.We validate our volume change measurements by comparing them to previously published results obtained by visual inspection of difference images, and demonstrate high rank correlation coefficient (ρ = 0.7, n=11).
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Publication type Article: Conference contribution
Corresponding Author
ISSN (print) / ISBN 0302-9743
e-ISSN 1611-3349
Conference Title International Conference on Medical Image Computing and Computer-Assisted Intervention
Journal Lecture Notes in Computer Science
Quellenangaben Volume: 2208, Issue: , Pages: 49-56 Article Number: , Supplement: ,
Publisher Springer
Publishing Place Berlin [u.a.]
Non-patent literature Publications
Institute(s) Institute for Machine Learning in Biomed Imaging (IML)