Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
A signal processing approach to fair surface design
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
A path-planning algorithm for image-guided neurosurgery
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
Multimodal Volume-Based Tumor Neurosurgery Planning in the Virtual Workbench
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Virtual Reality in Brain Intervention
BIBE '04 Proceedings of the 4th IEEE Symposium on Bioinformatics and Bioengineering
High-Quality Multimodal Volume Rendering for Preoperative Planning of Neurosurgical Interventions
IEEE Transactions on Visualization and Computer Graphics
Novel interaction techniques for neurosurgical planning and stereotactic navigation
IEEE Transactions on Visualization and Computer Graphics
Automatic trajectory planning for deep brain stimulation: a feasibility study
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
A 3-D visualization method for image-guided brain surgery
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Biopsy Planner – Visual Analysis for Needle Pathway Planning in Deep Seated Brain Tumor Biopsy
Computer Graphics Forum
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Image-guided neurosurgical interventional procedures utilize medical imaging techniques to identify the most appropriate path for accessing a targeted structure. Often, preoperative planning entails the use of multi-contrast or multi-modal imaging for assessing different aspects of patient's pathophysiology related to the procedure. Comprehensive visualization and manipulation of such large volume of three-dimensional anatomical information is a major challenge. In this work we propose a technique for simple and efficient visualization of the region of intervention for neurosurgical procedures. It is done through the generation of access maps on the surface of the patient's skin, which assists a neurosurgeon in selecting the most appropriate path of access by avoiding vital structures and minimizing potential trauma to healthy tissue. Our preliminary evaluation showed that this technique is effective as well as easy to use for planning neurosurgical interventions such as biopsies, deep brain stimulation, ablation of brain lesions.