The utilization of cranial models created using rapid prototyping techniques in the development of models for navigation training

• Main Authors: Waran, V., Pancharatnam, D., Thambinayagam, H.C., Raman, R., Rathinam, A.K., Balakrishnan, Y.K., Tung, T.S., Rahman, Z.A.
• Format: Article
• Language: English; English
• Published: 2013
• Subjects: RK Dentistry
• Online Access: http://eprints.um.edu.my/9924/1/The_Utilization_of_Cranial_Models_Created_Using_Rapid_Prototyping_Techniques_in_the_Development_of_Models_for_Navigation_Training.pdf; http://eprints.um.edu.my/9924/2/s-0032-1330960.pdf; http://eprints.um.edu.my/9924/

Introduction: Navigation in neurosurgery has expanded rapidly; however, suitable models to train end users to use the myriad software and hardware that come with these systems are lacking. Utilizing three-dimensional (3D) industrial rapid prototyping processes, we have been able to create models using actual computed tomography (CT) data from patients with pathology and use these models to simulate a variety of commonly performed neurosurgical procedures with navigation systems. Aim: To assess the possibility of utilizing models created from CT scan dataset obtained from patients with cranial pathology to simulate common neurosurgical procedures using navigation systems. Methodology: Three patients with pathology were selected (hydrocephalus, right frontal cortical lesion, and midline clival meningioma). CT scan data following an image-guidance surgery protocol in DIACOM format and a Rapid Prototyping Machine were taken to create the necessary printed model with the corresponding pathology embedded. The ability in registration, planning, and navigation of two navigation systems using a variety of software and hardware provided by these platforms was assessed. Results: We were able to register all models accurately using both navigation systems and perform the necessary simulations as planned. Conclusion: Models with pathology utilizing 3D rapid prototyping techniques accurately reflect data of actual patients and can be used in the simulation of neurosurgical operations using navigation systems.