ENHANCEMENT OF PREOPERATIVE NEUROSURGICAL PLANNING, USING 3D SEGMENTATION MODELS

• DOI: 10.5281/zenodo.4069519
• Publication Date: 2020-10-07
• Authors: Andrușca Alexandru; Andronachi Victor; Mihail Gavriliuc; Olga Gavriliuc; Pavel Gavriliuc
• Keywords: printing; reconstruction; neuroimaging; RD1-811; segmentation; R; Medicine; Surgery; neurosurgery; 3. Good health; 3D

Objectives. The vertiginous, progressive development of the contemporary imaging techniques, such as computed tomography and magnetic resonance imaging, apparently led to an increase in information volume, provided about anatomical structures investigated pathological processes, but also, deficiencies rendering from imager clinician didn’t improve this is largely due fact that still by 2D images. To utterly understand how things really are plan surgery correctly, surgeon relies on imagination, which depends his own experience. overcome these limitations, 3D technology can provide detailed orientation normal structures, relation ones. Our aim was show importance volume segmentation a teaching preoperative tool for neurosurgical interventions demonstrate our experience clinical practice. Material Methods. We chose Inobitec DICOM software. Multiple objects were fused form final scene patient-specific anatomy. models exported subsequent editing external programs Meshmixer Blender then portable devices viewing. Results. report methodology picture acquisition, reconstruction, visualization with some surgical examples (clinical cases), treated ”Diomid Gherman” Institute Neurology Neurosurgery, Chișinau, Republic Moldova. We, navigable be used build up composite images, derived fusion intraoperative images neuroimaging-derived models. Conclusion. experience, neurosurgery, has shown affordable great opportunities. variety purposes (teaching, planning, printing, Virtual Reality). creation planning already several areas neurosurgery.