3D articulated registration of the mouse hind limb for bone morphometric analysis in rheumatoid arthritis

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Colleges, School and Institutes

External organisations

  • Centre for Translational Inflammation Research; Rheumatology Research Group; University of Birmingham; Birmingham UK


We describe an automated method for building a statistical model of the mouse hind limb from micro-CT data, based on articulated registration. The model was initialised by hand-labelling the constituent bones and joints of a single sample. A coarse alignment of the entire model mesh to a sample mesh was followed by consecutive registration of individual bones and their descendants down a hierarchy. Transformation parameters for subsequent bones were constrained to a subset of vertices within a frustum projecting from a terminal joint of an already registered parent bone. Samples were segmented and transformed into a common coordinate frame, and a statistical shape model was constructed. The results of ten registered samples are presented, with a mean registration error of less than 40 μm (∼ 3 voxels) for all samples. The shape variation amongst the samples was extracted by PCA to create a statistical shape model. Registration of the model to three unseen normal samples gives rise to a mean registration error of 5.84 μm, in contrast to 27.18 μm for three unseen arthritic samples. This may suggest that pathological bone shape changes in models of RA are detectable as departures from the model statistics.


Original languageEnglish
Title of host publicationBiomedical Image Registration
Subtitle of host publication6th International Workshop, WBIR 2014, London, UK, July 7-8, 2014. Proceedings
EditorsSebastien Ourselin, Marc Modat
Publication statusPublished - 2014
Event6th International Workshop on Biomedical Image Registration, WBIR 2014 - London, United Kingdom
Duration: 7 Jul 20148 Jul 2014

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


Conference6th International Workshop on Biomedical Image Registration, WBIR 2014
CountryUnited Kingdom