id: 05979051
dt: a
an: 05979051
au: Baiker, Martin; Staring, Marius; Löwik, Clemens W.G.M.; Reiber, Johan
    H.C.; Lelieveldt, Boudewijn P.F.
ti: Automated registration of whole-body follow-up MicroCT data of mice.
so: Fichtinger, Gabor (ed.) et al., Medical image computing and
    computer-assisted intervention ‒ MICCAI 2011. 14th international
    conference, Toronto, Canada, September 18‒22, 2011. Proceedings, Part
    II. Berlin: Springer (ISBN 978-3-642-23628-0/pbk). Lecture Notes in
    Computer Science 6892, 516-523 (2011).
py: 2011
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-642-23629-7_63
ab: Summary: In vivo MicroCT imaging of disease models at multiple time points
    is of great importance for preclinical oncological research, to monitor
    disease progression. However, the great postural variability between
    animals in the imaging device complicates data comparison. In this
    paper we propose a method for automated registration of whole-body
    MicroCT follow-up datasets of mice. First, we register the skeleton,
    the lungs and the skin of an articulated animal atlas (Segars et al.
    2004) to MicroCT datasets, yielding point correspondence of these
    structures over all time points. This correspondence is then used to
    regularize an intensity-based B-spline registration. This two step
    approach combines the robustness of model-based registration with the
    high accuracy of intensity-based registration. We demonstrate our
    approach using challenging whole-body in vivo follow-up MicroCT data
    and obtain subvoxel accuracy for the skeleton and the skin, based on
    the Euclidean surface distance. The method is computationally efficient
    and enables high resolution whole-body registration in $\approx 17$
    minutes with unoptimized code, mostly executed single-threaded.
rv: