Computer-assisted Surgical Planning for Cerebrovascular Neurosurgery

Computer-assisted surgical planning for cerebrovascular neurosurgery.

OBJECTIVE We used three-dimensional reconstructed magnetic resonance images for planning the operations of 16 patients with various cerebrovascular diseases. We studied the cases of these patients to determine the advantages and current limitations of our computer-assisted surgical planning system as it applies to the treatment of vascular lesions. METHODS Magnetic resonance angiograms or thi...

Surgical models for computer-assisted neurosurgery

In this paper, we outline a way to improve computer-assisted neurosurgery using surgical models along with patient-specific models built from multimodal images. We propose a methodological framework for surgical models that include the definition of a surgical ontology, the development of software for describing surgical procedures based on this ontology and the analysis of these descriptions t...

Computer-assisted neurosurgery.

Computer-assisted neurosurgery has become so successful that it is rapidly becoming indistinguishable from, quite simply, neurosurgery. This trend promises to accelerate over the next several decades, bringing considerable benefit to the patients we care for. From a pragmatic point of view, can we identify specific instances in which clinical practice has been altered by computer assistance? Du...

An optimal motion planning method for computer-assisted surgical training

This paper focuses on the development and validation of an optimal motion planning method for computer-assisted surgical training. The context of this work is the development of new-generation systems that combine artificial intelligence and computer vision techniques in order to adjust the learning process to specific needs of a trainee, while preventing a trainee from the memorization of part...

Optimization of Computer- Assisted Surgical Planning, Intervention and Training (CASPIT)