Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Devices, Systems, and Methods for detecting a 3-dimensional position of an object, and surgical automation involving the same. The surgical robot system may include a robot having a robot base, a robot arm coupled to the robot base, and an end-effector coupled to the robot arm. The end-effector, surgical instruments, the patient, and/or other objects to be tracked include active and/or passive tracking markers. Cameras, such as stereophotogrammetric infrared cameras, are able to detect the tracking markers, and the robot determines a 3-dimensional position of the object from the tracking markers.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

An optimal imaging POV intervention system employs an intervention instrument (30), an instrument guide (40), one or more force/torque sensors and an optimal imaging POV controller (20). In operation, the instrument guide (40) establishes a planned trajectory of the intervention instrument (30), and the force/torque sensor(s) sense a force and/or a torque exerted against the intervention instrument (30) and/or the instrument guide (40) when the intervention instrument (30) is positioned within the instrument guide (40). The optimal imaging POV controller (20) controls a determination of an optimal imaging POV of the intervention instrument (30) by deriving an imaging axis of the intervention instrument (30) from a measurement of the force and/or the torque exerted against the intervention instrument (30) and/or the instrument guide (40) as sensed by the force/torque sensor(s).

Systems and methods are provided for processing X-ray images, wherein the methods are implemented as a software program product executable on a processing unit of the systems. Generally, an X-ray image is received by the system, the X-ray image being a projection image of a first object and a second object. The first and second objects are classified, and a respective 3D model of the objects is received. At the first object, a geometrical aspect like an axis or a line is determined, and at the second object, another geometrical aspect like a point is determined. Finally, a spatial relation between the first object and the second object is determined based on a 3D model of the first object, a 3D model of the second object, and the information that the point of the second object is located on the geometrical aspect of the first object.

A method for using a control center at a remote site to control operation of a robotic medical device system at a local site includes transmitting a control signal from the control center to the robotic medical device system, determining a delay in transmission of the control signal, comparing the delay to a threshold delay value and operating the robotic medical device system based on the comparison of the delay to the threshold delay value.

A camera tracking system is disclosed that is configured to obtain a model defining a tracking volume of a set of tracking cameras relative to pose of the set of tracking cameras, and receive tracking information from the set of tracking cameras indicating pose of an extended reality (XR) headset relative to the set of tracking cameras. The camera tracking system is further configured to generate a graphical representation of the tracking volume from a perspective of the XR headset based on the pose of the XR headset indicated by the tracking information and based the model defining the tracking volume of the set of tracking cameras, and provide the graphical representation of the tracking volume to the XR headset for display to the user.

A virtual model a planned instrument attachment can be provided to ensure correct selection of a physical instrument attachment. An XR headset controller can generate a shape and a pose of the virtual model of the planned instrument attachment based on predetermined information associated with the planned instrument attachment and based on a pose of an instrument relative to the XR headset. An XR headset can display the virtual model on a see-through display screen of the XR headset that is configured to allow at least a portion of a real-world scene to pass therethrough.