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.

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.

This invention provides a method to optimize an x-ray beam for more than one structure within the field of view. The preferred embodiment comprises a modular construction of a collimator comprising multiple materials of varying thickness. A first attenuation is performed by the first portion of the collimator to optimize a first anatomic feature and a second attenuation is performed by the second portion of the collimator to optimize a second anatomic feature.

Systems and methods for improved visual prosthetic and orthodontic treatment planning are provided herein. In some aspects, a method for preparing a tooth of a patient is disclosed. The method may comprise building a model of a dentition of the patient including a model of the initial shape of tooth. The method may also include determining a final prepared shape of the tooth. In some aspects, the method may also include generating a treatment plan comprising a plurality of steps to modify the initial shape of the tooth to the final prepared shape of the tooth. The method may also include rendering visualizations for the plurality of steps of the treatment plan. The visualizations may depict the removal of tooth material to modify the initial shape of the tooth to the final prepared shape of the tooth.

Blood glucose control systems are disclosed. A blood glucose control system can receive a glucose level signal from a glucose sensor operatively coupled to a subject. The system can decode encoded data of the glucose level signal to obtain the glucose level of the subject and the indication of the glucose trend. The system can automatically calculate the dose control signal using a control algorithm configured to calculate regular correction boluses of glucose control agent in response to at least the glucose level of the subject. The system can select a dose control signal encoding profile from a plurality of dose control signal encoding profiles and, based on the dose control signal encoding profile, encode the dose control signal such that the pump controller can read the dose control signal. The system can transmit an encoded dose control signal to the pump controller.

Blood glucose control systems are disclosed. A blood glucose control system can receive a glucose level signal from a glucose sensor operatively coupled to a subject. The system can decode encoded data of the glucose level signal to obtain the glucose level of the subject and the indication of the glucose trend. The system can automatically calculate the dose control signal using a control algorithm configured to calculate regular correction boluses of glucose control agent in response to at least the glucose level of the subject. The system can select a dose control signal encoding profile from a plurality of dose control signal encoding profiles and, based on the dose control signal encoding profile, encode the dose control signal such that the pump controller can read the dose control signal. The system can transmit an encoded dose control signal to the pump controller.

Information associated with a radiation treatment plan includes, for example, values of dose per voxel in a target volume, values of dose rate per voxel in the target volume, and values of parameters used when generating the values of dose per voxel and the values of dose rate per voxel. Renderings that include, for example, a rendering of an image of or including the target volume, and a rendering of selected values of the radiation treatment plan, are displayed. When a selection of a region of one of the renderings is received, a displayed characteristic of another one of the renderings is changed based on the selection.

A visualization system including multiple light sources, an image sensor configured to detect imaging data from the multiple light sources, and a control circuit is disclosed. At least one of the light sources is configured to emit a pattern of structured light. The control circuit is configured to receive the imaging data from the image sensor, generate a three-dimensional digital representation of the anatomical structure from the pattern of structured light detected by the imaging data, obtain metadata from the imaging data, overlay the metadata on the three-dimensional digital representation, receive updated imaging data from the image sensor, and generate an updated three-dimensional digital representation of the anatomical structure based on the updated imaging data. The visualization system can be communicatively coupled to a situational awareness module configured to determine a surgical scenario based on input signals from multiple surgical devices.

Techniques for modeling therapy fields for therapy delivered by medical devices are described. Each therapy field model is based on a set of therapy parameters and represents where therapy will propagate from the therapy system delivering therapy according to the set of therapy parameters. Therapy field models may be useful in guiding the modification of therapy parameters. As one example, a processor compares an algorithmic model of a therapy field to a reference therapy field and adjusts at least one therapy parameter based on the comparison. As another example, a processor adjusts at least one therapy parameter to increase an operating efficiency of the therapy system while substantially maintaining the modeled therapy field.

A method for customizing an interactive control boundary includes positioning a virtual implant model relative to a virtual bone model based on a user input, and extracting reference feature information associated with the virtual implant model, wherein the reference feature information describes one of a point, a line, a plane, and a surface associated with the virtual implant model. The method further includes mapping the extracted reference feature information to the virtual model of the bone, and receiving information indicative of a positional landmark associated with the bone, then estimating an intersection between the positional landmark and the mapped reference feature and generating a virtual boundary based, at least in part, on the estimated intersection between the positional landmark and the mapped reference feature.