Jürgen Weese

TL;DR: A new multi-scale segmentation technique for line-like structures in 2D and 3D medical images is presented, based on normalized first and second derivatives and on the eigenvector analysis of the hessian matrix, which allows for the estimation of the local diameter, the longitudinal direction and the contrast of the vessel.

TL;DR: A fully automated deformable model technique for myocardium segmentation in 3D MRI is presented and a prior parametric spatially varying feature model is established by classification of grey value surface profiles.

TL;DR: This study considers elastic registration of medical image data based on thin-plate splines using a set of corresponding anatomical point landmarks using an approximation scheme based on regularization theory to lead to a more accurate and robust registration result.

TL;DR: A standardisation framework can be used to label and further analyse anatomical regions of the LA by performing the standardisation directly on the left atrial surface, including meshes exported from different electroanatomical mapping systems.

TL;DR: This work presents an approach which embeds an active shape model into an elastically deformable surface model, and combines the advantages of both approaches, and leads reliably to a very good overall segmentation.