Biomedical subjects

P Zerfass

Publications and source records attributed to P Zerfass.

3 recordsLinked to original sources

PubMed2002

Haptic interaction with highly detailed objects.

Haptic exploration of detailed models from patient specific anatomical structures places high demands on computational resources. Constant collision detection and correct calculation of forces fed back to the operator quickly exceed available processing power with increasing level of detail of the represented objects. To alleviate the strain on computational resources optimisation schemes are employed to speed up processing and guarantee glitch-free operation as well as smooth haptic feedback. Among these are the generation of a local haptic model, a look-ahead strategy to increase its range of validity, small world-shift operations and force extrapolation algorithms for smooth feedback.

Algorithms↗

PubMed2002

Automatic generation of hexahedral and tetrahedral meshes.

In this paper we present in depth one of the preprocessing steps of our software system for the simulation of soft tissue behaviour and biomechanical processes. The entire system can be used by surgeons for preoperative planning and prediction of postoperative results. The software creates a pipeline to automatically construct meshed datasets for finite element modelling from presegmented patient data.

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PubMed2002

Surgery planning tools for the osseous grafting treatment.

This paper presents a method for computer assisted selection of optimal donor sites for autologous grafts in the craniofacial surgery planning. The method consists of two stages. The non-automatic graft design step is followed by a fully automatic procedure to find the best harvesting site in the predefined donor region. The main idea of the proposed method is based on the registration paradigm. The optimal donor site is identified by performing an optimization of the surface based similarity measure between the donor region and the designed graft template. An efficient optimization method based on the Levenberg-Marquardt algorithm has been implemented. It enables, once the preprocessing step has been performed, selection of the optimal donor site in time less than one minute.

Algorithms↗