Abstract: A system for surgical navigation, including an instrument for a medical procedure attached to a camera and having a spatial position relative to the camera, an x-ray system to acquire x-ray images, and multiple fiducial markers detectable by both the camera and x-ray system, having a radio-opaque material arranged as at least one of a line and a point. A computer receives an optical image from the camera and an x-ray image from the x-ray system, identifies fiducial markers visible in both the optical image and x-ray image, determines for each fiducial marker a spatial position relative to the camera based on the optical image and relative to the x-ray system based on the x-ray image, and determines a spatial position for the instrument relative to the x-ray system based on at least the spatial positions relative to the camera and x-ray system.

Abstract: A device may receive a set of perioperative images including a set of pre-operative images depicting one or more anatomical structures of a surgical candidate. The set of pre-operative images may be processed using image analysis techniques to determine a first set of quantitative measures related to the anatomical structure(s) of the surgical candidate. The device may use a data model that has been trained based on perioperative data associated with a patient cohort sharing clinical characteristics with the surgical candidate to predict outcomes from one or more therapeutic options for the surgical candidate based on the first set of quantitative measures and a second set of quantitative measures related to a profile associated with the surgical candidate. Based on the predicted outcomes, the device may provide, to a client device, a recommendation relating to the therapeutic options for the surgical candidate and information to support the recommendation.

Abstract: An embodiment in accordance with the present invention provides a technique for localizing structures of interest in projection images (e.g., x-ray projection radiographs or fluoroscopy) based on structures defined in a preoperative 3D image (e.g., MR or CT). Applications include, but are not limited to, spinal interventions. The present invention achieves 3D-2D image registration (and particularly allowing use with a preoperative MR image) by segmenting the structures of interest in the preoperative 3D image and generating a simulated projection of the segmented structures to be aligned with the 2D projection image. Other applications include various clinical scenarios involving 3D-2D image registration, such as image-guided cranial neurosurgery, orthopedic surgery, biopsy, and radiation therapy.

Abstract: An embodiment in accordance with the present invention provides a technique for localizing structures of interest in projection images (e.g., x-ray projection radiographs or fluoroscopy) based on structures defined in a preoperative 3D image (e.g., MR or CT). Applications include, but are not limited to, spinal interventions. The present invention achieves 3D-2D image registration (and particularly allowing use with a preoperative MR image) by segmenting the structures of interest in the preoperative 3D image and generating a simulated projection of the segmented structures to be aligned with the 2D projection image. Other applications include various clinical scenarios involving 3D-2D image registration, such as image-guided cranial neurosurgery, orthopedic surgery, biopsy, and radiation therapy.

Abstract: Disclosed herein is a system and method for generating a motion-corrected 2D image of a target. The method comprises acquiring a 3D static image of the target before an interventional procedure. During the procedure, a number of 2D real time images of the target are acquired and displayed. A slice of the 3D static image is acquired and registered with one 2D real time image and then the location of the 3D static image is corrected to be in synchrony with body motion. The motion corrected 2D image of the target is then displayed.