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Capturing Anatomical Shape Variability Using B-spline Registration

Summary: Capturing Anatomical Shape Variability Using
B-spline Registration
Thomas H. Wenckebach, Hans Lamecker, and Hans-Christian Hege
Zuse Institute Berlin (ZIB),
Takustr. 7, 14195 Berlin, Germany,
{wenckebach,lamecker,hege}@zib.de, www.zib.de/visual
Abstract. Registration based on B-spline transformations has attracted
much attention in medical image processing recently. Non-rigid registra-
tion provides the basis for many important techniques, such as statistical
shape modeling. Validating the results, however, remains difficult - es-
pecially in intersubject registration. This work explores the ability of B-
spline registration methods to capture intersubject shape deformations.
We study the effect of different established and new shape representa-
tions, similarity measures and optimization strategies on the matching
quality. To this end we conduct experiments on synthetic shapes repre-
senting deformations which typically may arise in intersubject registra-
tion, as well as on real patient data of the liver and pelvic bone. The
experiments clearly reveal the influence of each component on the regis-
tration performance. The results may serve as a guideline for assessing
intensity based registration.


Source: Andrzejak, Artur - Konrad-Zuse-Zentrum für Informationstechnik Berlin


Collections: Computer Technologies and Information Sciences