Spine Planning (2.0), Elements Spine Planning, Elements Planning Spine

The planning part of the use case shall be done in an office or in the operating room. The device can be used in an office / team room or in the operating room.

The planning part of the use case shall be done in an office or in the operating room. The device can be used in an office / team room or in the operating room.

The Spine Planning software allows the user to plan spinal surgery pre-operatively or intra-operatively. The software is able to display 2D X-Ray images and 3D datasets (e.g. CT or MR scans). The software consists of features for automated labelling of vertebrae and proposals for screw and rod implants, proposals for measurement of spinal parameters. The device can be used in combination with spinal navigation software during surgery, where pre-planned or intra-operatively created information can be displayed, or solely as a pre-operative tool to prepare the surgery. AI/ML algorithms are used in Spine Planning for detection of landmarks on 2D images for vertebrae labeling and measurement and vertebra detection on Digitally Reconstructed Radiograph (DRR) images of 3D datasets for atlas registration (labeling of the vertebra). The AI/ML algorithm is a Convolutional Neuronal Network (CNN) developed using a Supervised Learning approach. The algorithm was developed using a controlled internal process that defines activities from the inspection of input data to the training and verification of the algorithm.