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Vision 2, TrackVision 2 and HeartVision 2 software applications are intended to enable users to load 3D datasets and overlay and register in real time these 3D datasets with radioscopic or radiographic images of the same anatomy in order to support catheter/device guidance during interventional procedures. The Stereo 3D option enables physicians to visualize needles, points, and segments on a 3D model/space using a stereotaction of radioscopic or radiographic images at a significantly lower dose than use of a full cone beam CT acquisition. This information is intended to assist the physician during interventional procedures.

Vision Applications (K092639) includes Vision 2, TrackVision 2 and HeartVision 2 applications. Vision Applications can load and dynamically fuse in real-time live 2D X-ray images from the X-ray system with 3D models from X-Ray (DICOM 3D XA), CT or MR system. Stereo 3D is a new option and the subject of this submission. The Stereo 3D option is designed to be used with the Vision 2 and TrackVision 2 applications which are part of Vision Applications. The Stereo 3D option enables the user to reconstruct 3D objects from radioscopic or radiographic images. The Stereo 3D option intends to provide an alternative to intra operative CBCT (cone beam CT) usually performed for the same purpose: to localize needles and markers within the 3D anatomy. The Stereo 3D option provides a method to reconstruct 3D contrasted objects (point and segments) from a pair of 2D X-ray images, e.g. acquisition of fluoroscopic images from different C-arm positions (2 different projections). The 3D object reconstruction is then fused in the 3D space with the 3D model used at the fusion of the x-ray image. Stereo 3D has a workflow that is significantly guided, to support clear and easy use of the reconstruction procedure. The workflow contains the following 4 high level steps: Image acquisition and registration adjustment Automatic or manual object identification Quality assessment of 3D reconstruction Display of the reconstructed point(s) and segment(s) on a cross section of the 3D model. The second step (object identification) can be done manually or automatically: Manual point(s) or segment(s) identification: After the acquisition and registration of the two x-ray images acquired at two different C-arm positions, the user has to manually select points on the two x-ray images which correspond to the object to reconstruct (e.g. endograph markers and needles). Automatic Mode for needles (only with Trackvision 2): The user first selects a planned trajectory with a needle inserted After the acquisition of the two X-ray images, and the registration adjustment phase, the needle will automatically be detected and reconstructed.