By Sebastien Ourselin, Marc Modat
This booklet constitutes the refereed complaints of the sixth foreign Workshop on Biomedical photo Registration, WBIR 2014, held in London, united kingdom, in July 2014.
The sixteen complete papers and eight poster papers incorporated during this quantity have been rigorously reviewed and chosen from a variety of submitted papers. the whole papers are prepared within the following topical sections: computational potency, version dependent regularisation, optimisation, reconstruction, interventional software and alertness particular measures of similarity.
Read Online or Download Biomedical Image Registration: 6th International Workshop, WBIR 2014, London, UK, July 7-8, 2014. Proceedings PDF
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Additional info for Biomedical Image Registration: 6th International Workshop, WBIR 2014, London, UK, July 7-8, 2014. Proceedings
C Springer International Publishing Switzerland 2014 32 C. Zhang et al. assume the manual segmentations on the CBCT are known [2,8]. And some methods do not make this assumption. They automatically segment and register the organs, either sequentially  or iteratively . An interesting problem is: if the segmentations differ significantly between different CBCT observers [11, 16], forcing the registration to match possibly inaccurate segmented surfaces may increase registration error. Zhang et al.
International Journal of Radiation Oncology*Biology*Physics 86(2), 372–379 (2013) 2. : Image-based dose planning of intracavitary brachytherapy: registration of serial-imaging studies using deformable anatomic templates. International Journal of Radiation Oncology Biology Physics 51(1), 227–243 (2001) 3. : Active shape models-their training and application. Computer Vision and Image Understanding 61(1), 38–59 (1995) 4. : Smoothing noisy data with spline functions. Numerische Mathematik 31(4), 377–403 (1978) 5.
M. Brown et al. bone destruction, whereas x-ray microtomography (micro-CT) provides qualitative assessments of the damage. These commonly used techniques are subjective. In response to the need of the biomedical community we are working towards developing objective and quantitative measures of bone destruction from micro-CT images of the mouse hind limb. The hypothesis underpinning our work is that shapes of bones aﬀected by a pathology depart from statically normal bone shape variations. When a diseased limb sample is registered with a statistical shape model of a normal limb, any diseased regions will show as gross departures from the model.
Biomedical Image Registration: 6th International Workshop, WBIR 2014, London, UK, July 7-8, 2014. Proceedings by Sebastien Ourselin, Marc Modat