Titlebook: Bildverarbeitung für die Medizin 2011; Algorithmen - System Heinz Handels,Jan Ehrhardt,Thomas Tolxdorff Conference proceedings 2011 Springe

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Scene-Based Segmentation of Multiple Muscles from MRI in MITK, novel approach is presented applying a scene-based discrete deformable model (simplex mesh). 3D segmentation is performed on a set of structures rather than on a single object. Relevant structures are modeled in a two-stage hierarchy from groups of clustered muscles (as they usually appear in MRI)

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Model-Based Quantification of Small Tubular Structures in 3D Vascular Images, structures in 3D vascular images. The tubular model is formulated based on principles of the image formation process. Compared to previous straight models, the new model allows to accurately represent curved tubular structures, to directly estimate the local curvature, as well as to more accurately

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Towards Improved Epilepsia Diagnosis by Unsupervised Segmentation of Neuropathology Tissue Sectionss (CAD) in neuropathology. Due to the difficulty of locating a tissue’s origin and alignment as well as the vast variety of structures within such images an orientation independent (i. e. rotation invariant) approach for tissue region segmentation has to be found to encode the structural features of

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Adaptive Mitosis Detection in Large in vitro Stem Cell Populations using Timelapse Microscopy, of these cultures. However, it is essential in the use of cultivated endogenous cells in stem cell therapies. One crucial feature during automated analysis is clearly the robust detection of mitotic events. In this work, we use the fully labeled stem cell benchmark data set CeTReS I in order to eva

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Clustering-Based Detection of Anatomical Features on Organic Shapes,ue. To cope with this variety, we propose a novel clustering-based feature detection scheme. The scheme can be used as a standalone feature detection scheme or it can provide meaningful starting points for surface analyzing-based detection algorithms. The scheme includes the identification of a repr

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An Articulated Statistical Shape Model of the Human Knee,cit degrees of freedom that model physiological joint motion. We also present a strategy for segmentation of the knee joint from medical image data. We show the potential of the model via an evaluation on a set of 40 clinical MRI datasets with manual expert segmentations available.

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Implant-Tolerant Orthopaedic Measurements for Post-Operative Radiographs of the Lower Limbs,wer limbs. In contrast to previously published approaches for partially occluded objects, we deal with objects were the major part of the contour is missing, namely the epiphyses of the long bones in the lower limbs, that have been replaced in large parts by artificial joint implants of varying appe