Enhancement of preoperative neurosurgical planning by using 3D segmentation models

Аннотация

Background: In Neurosurgery, even with CT and MRI, the information is still provided by 2D images. The surgeon relies on his imagination for surgical planning. To overcome these limitations, 3D technology has the potential to provide detailed information on the 3D orientation of the surgical site.

Objective of the study: Our aim is to show the importance of 3d volume segmentation as a teaching and preoperative tool for neurosurgical interventions and to demonstrate our experience in clinical practice.

Material and Methods: We chose "Inobitec DICOM" software. Multiple objects were fused to form a final 3D scene of the patient-specific anatomy. The models were exported for subsequent editing in external programs such as "Meshmixer" and "Blender" and then on portable devices for viewing.

Results: We report a detailed methodology for picture acquisition, 3D reconstruction, and visualization with some surgical examples. We also demonstrate how these navigable models can be used to build up composite images derived by the fusion of 3D intraoperative scenarios with neuroimaging-derived 3D models.

Conclusion: Our experience, in the Neurosurgery, has shown that this is an affordable technology with great opportunities. The models can be used for a variety of purposes (teaching, planning, 3D printing, and VR). The creation of 3D models for planning is already used in several areas of neurosurgery.