By Jens A. Richolt, Matthias Teschner (auth.), William M. Wells, Alan Colchester, Scott Delp (eds.)
This booklet constitutes the refereed lawsuits of the 1st foreign convention on clinical photo Computing and Computer-Assisted Intervention, MICCAI'98, held in Cambridge, MA, united states, in October 1998.
The 134 revised papers offered have been rigorously chosen from a complete of 243 submissions. The e-book is split into topical sections on surgical making plans, surgical navigation and measurements, cardiac photo research, clinical robot structures, surgical platforms and simulators, segmentation, computational neuroanatomy, biomechanics, detection in clinical pictures, information acquisition and processing, neurosurgery and neuroscience, form research, characteristic extraction, registration, and ultrasound.
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Extra info for Medical Image Computing and Computer-Assisted Interventation — MICCAI’98: First International Conference Cambridge, MA, USA, October 11–13, 1998 Proceedings
Example text
The Newton-Raphson iterative procedure was used to solve efficiently for the equilibrium condition; to expedite the calculations all components of the Jacobian matrix are evaluated analytically. The model was validated by reproducing results of actual cadaver knee joint experiments 34. By using an analytical Jacobian formulation, the model converges very rapidly (2 to 10 seconds for most analyses). It provides graphical display of the results, and it allows the user to interactively change any of the input parameters.
The chosen solution is to build an "hybrid" model of the skull (Figure 5). 3D C e p h a l o m e t r y - The 3D Cephalometrical analysis procedure is then divided in 3 steps: definition of sagittal median plane (Figure 6 (a)), determination of 10 cephalometrical anatomical landmarks (Figure 6 (b)) and the analysis itself, which is automatically calculated (Figure 6 (c)). Each step of the analysis is validated and if necessary manually corrected. V i r t u a l O s t e o t o m i e s - The goal is to isolate on the 3D model a part of the maxilla and of the mandible from the rest of the skull.
We don't use compression algorithms to reduce the number of facets because the operator must have a sufficiently precise model to identify correctly the cephalometrical points without losing any detail. The chosen solution is to build an "hybrid" model of the skull (Figure 5). 3D C e p h a l o m e t r y - The 3D Cephalometrical analysis procedure is then divided in 3 steps: definition of sagittal median plane (Figure 6 (a)), determination of 10 cephalometrical anatomical landmarks (Figure 6 (b)) and the analysis itself, which is automatically calculated (Figure 6 (c)).