When planning surgeries, doctors and medical engineers need to create 3D surgical plans pre-operation, and their only way to model internal body parts is to rely on Computerized Tomography (CT) images. For patients living with implanted metal artifacts, the artifacts will lead to an interference on image generation and visualization of anatomical structures thereby resulting in visual errors of the images. Current available CT image generating tools has its limitations in processing images with visual noise such that it greatly reduces the visibility of hard and soft bone surfaces. This leaves medical engineers with an extended period of manual image correction and uncertainty, resulting in higher risk of unsuccessful surgeries due to inaccurate surgical modelling. The process of bone segmentation usually takes several hours as Cone Beam Computed Tomography (CBCTs) need to be corrected manually.
To overcome these challenges, the company has developed an algorithm to create automated 3D models that is cost-efficient and timely. The technology is able to deliver precise anatomical identity of both hard and soft bone surface and is compatible with all segmentation and planner software.
This technology is clinically proven for Maxillofacial and Orthodontics 3D surgical planning (bone grafting and implantation) and can be integrated into systems of CBCT machine and Medical 3D printer.