Ivo Wolf

TL;DR: AutoCellSeg (based on MATLAB) that implements a supervised automatic and robust image segmentation method that outperforms tools like OpenCFU and CellProfiler in terms of accuracy and provides many additional useful features for end-users.

TL;DR: In this paper, a method for navigation during medical interventions on tubular organ structures is described, in which, before the intervention, static image data of the tubular organs structures are recorded and stored, and their course is converted into a geometric description used during the medical intervention for instrument/organ recording, and the instrument that is spatially localized by a tracking system is successively corrected in relation to the static data, by a transformation that is preferably defined by an optimization method.

TL;DR: In comparison to the CT image with axial and coronal reconstructions, the three-dimensional image was judged by the surgeons as better for operation planning and consistently described as useful.

TL;DR: The results indicate that taking additional scans leads to a significant improvement in the calibration, and the obtained calibration and reconstruction precisions suggest the use of a TP.

TL;DR: These models are the first to comprise the full mitral valve apparatus, i.e., the annulus, leaflets, chordae tendineae and papillary muscles, and maintain a high realism during haptic interaction with instruments and suture material.