Surgical systems, computer-implemented methods, and software programs for producing a patient-specific virtual boundary configured to constrain movement and/or operation of a surgical tool in response to the surgical tool interacting with the patient-specific virtual boundary. The implementations include obtaining a generic virtual boundary including a generic surface with a generic edge, and positioning the generic virtual boundary relative to a virtual anatomical model such that the generic surface intersects the virtual anatomical model. The implementations include computing an intersection of the generic surface and the virtual anatomical model to define a cross-sectional contour of the virtual anatomical model, and morphing the generic edge to the cross-sectional contour to produce a customized surface with a patient-specific edge. The implementations include generating a customized face extending from, and along, the patient-specific edge, and producing the patient-specific virtual boundary by merging the customized surface and the customized face.

This disclosure relates to an intraoperative localisation system for total joint replacement of a joint of a patient by a surgeon, the joint being associated with a bone. The localisation system comprises: an X-ray imaging device to create a digital X-ray image of the joint and a localisation object during a total joint replacement surgery; a computer system configured to: store a surgical plan comprising a digital three-dimensional model; receive the digital X-ray image of the joint and the localisation object during the total joint replacement surgery; determine a pose of the localisation object relative to the bone or the joint, based on the digital X-ray image; assess the pose of the localisation object against the surgical plan; and provide an indication of a clinical consequence of the pose in relation to the surgical plan to the surgeon.

Systems and methods of fluid or air passageway cross-sectional area determination in an anatomy are disclosed. In some examples, the methods may include generating a model of a structure based on a plurality of images of the structure, the structure comprising at least one fluid or air flow path. In some examples, the methods may also include identifying an obstruction element in the model of the structure, the obstruction element affecting the at least one fluid or air flow path in the model. In some examples, the methods may also include determining a region of the at least one fluid or air flow path for flow analysis.

The present disclosure relates to a method and a data processing system for generating navigable images of at least one region of interest ROI of a patient for a fluoroscopy-based navigation system using an X-ray imaging system, a localization system and an imaging kit, said imaging kit being configured to allow images registration in a preferred referential and tracking of surgical tools.

An X-ray diagnosis apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured: to determine a region corresponding to a target object in an X-ray image, on the basis of the X-ray image; to calculate a statistical value related to the region, on the basis of a plurality of pixel values included in the region; and to set an X-ray condition related to generating X-rays, on the basis of the statistical value.

A system and method that acquire (i) at least a reference image including one of a preoperative image of a surgical site with skeletal and articulating bones and a contralateral image on an opposite side of the patient from the surgical site, and (ii) at least an intraoperative image of the site after an implant has been affixed to the articulating bone. The system preferably generates at least one reference stationary point on at least the skeletal bone in the reference image and at least one intraoperative stationary point on at least the skeletal bone in the intraoperative image. The location of the implant is identified in the intraoperative image, preferably including the position of first and second centers of rotation, which are digitally represented and copied into the reference image to analyze at least one of offset and length differential.

An example method includes obtaining, a virtual model of a portion of an anatomy of a patient obtained from a virtual surgical plan for an orthopedic joint repair surgical procedure to attach a prosthetic to the anatomy; identifying, based on data obtained by one or more sensors, positions of one or more physical markers positioned relative to the anatomy of the patient; and registering, based on the identified positions, the virtual model of the portion of the anatomy with a corresponding observed portion of the anatomy.

The present disclosure provides systems and methods for estimating an orientation of an implanted deep brain stimulation (DBS) lead. Such methods include generating an initial image dataset, down-sampling a respective image or adding noise to images of the subset of the initial image dataset, and re-slicing at least a subset of the modified image dataset along an alternative primary imaging axis, to generate an integrated image dataset. The method also include partitioning the integrated image dataset into a preliminary training image dataset and a testing image dataset, and re-sizing at least a subset of the preliminary training image dataset with a localized field of view around a depicted DBS lead, to generate a training image dataset. The method further includes training a machine-learning model using the training image dataset, and executing the trained machine-learning model to estimate, during a DBS implantation procedure, an orientation of a subject implanted DBS lead.

A method of determining wear of an artificial knee assembly (AKA) includes acquiring a first set of computed tomography (CT) data about the AKA in vivo. A first volumetric file is generated based on the first set of CT data. A first point cloud data set is generated based on the first volumetric AKA file. A first dimensional analysis of the AKA is performed using the first point cloud data set. A second volumetric file is generated based on a second set of acquired CT data before implantation or from a model. A second point cloud data set is generated based on the second volumetric AKA file. A second dimensional analysis is performed using the second point cloud data set. The first dimensional analysis is compared to the second dimensional analysis and a determination is made if they are different from each other.

Disclosed is a method for detecting positions of body tissues and an apparatus using the method. The apparatus according to the present invention comprises a surgery information storage unit storing an examined first image associated with a target bone of surgery, a position measuring unit measuring position values of multiple points on a surface of the target bone of surgery before and after cutting, and a registration control unit for acquiring a second image regarding the remained bone after cutting by applying the shape of the bone changed according to the progression of bone cutting to the first image, and for performing position registration with respect to the second image by using the position values of multiple points on surface of the target bone of surgery after cutting, which is measured by the position measuring unit.