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.

A medical robot system, including a robot coupled to an effectuator element with the robot configured for controlled movement and positioning. The system may include a transmitter configured to emit one or more signals, and the transmitter is coupled to an instrument coupled to the effectuator element. The system may further include a motor assembly coupled to the robot and a plurality of receivers configured to receive the one or more signals emitted by the transmitter. A control unit is coupled to the motor assembly and the plurality of receivers, and the control unit is configured to supply one or more instruction signals to the motor assembly. The instruction signals can be configured to cause the motor assembly to selectively move the effectuator element.

A system is disclosed herein for providing a kinetic assessment and preparation of a prosthetic joint comprising one or more prosthetic components. The system comprises a prosthetic component including sensors and circuitry configured to measure load, position of load, and joint alignment. The system further includes a remote system for receiving, processing, and displaying quantitative measurements from the sensors. The kinetic assessment measures joint alignment under loading that will be similar to that of a final joint installation. The kinetic assessment can use trial or permanent prosthetic components. Furthermore, adjustments can be made to the applied load magnitude, position of load, and joint alignment by various means to fine-tune an installation. The kinetic assessment increases both performance and reliability of the installed joint by reducing error that is introduced by elements that load or modify the joint dynamics not taken into account by prior assessment methods.

A system is disclosed herein for providing a kinetic assessment and preparation of a prosthetic joint comprising one or more prosthetic components. The system comprises a prosthetic component including sensors and circuitry configured to measure load, position of load, and joint alignment. The system further includes a remote system for receiving, processing, and displaying quantitative measurements from the sensors. The kinetic assessment measures joint alignment under loading that will be similar to that of a final joint installation. The kinetic assessment can use trial or permanent prosthetic components. Furthermore, adjustments can be made to the applied load magnitude, position of load, and joint alignment by various means to fine-tune an installation. The kinetic assessment increases both performance and reliability of the installed joint by reducing error that is introduced by elements that load or modify the joint dynamics not taken into account by prior assessment methods.

A target biopsy system employing an ultrasound probe (20), a target biopsy needle (30) and a ultrasound guide controller (44). In operation, the ultrasound probe (20) projects an ultrasound plane intersecting an anatomical region (e.g. a liver). The target biopsy needle (30) include two or more ultrasound receivers (31) for sensing the ultrasound plane as the target biopsy needle (30) is inserted into the anatomical region. In response to the ultrasound receiver(s) (31) sensing the ultrasound plane, the ultrasound guide controller (44) predicts a biopsy trajectory of the target biopsy needle (30) within the anatomical region relative to the ultrasound plane. The prediction indicates the biopsy trajectory is either within the ultrasound plane (i.e., an in-plane biopsy trajectory) or outside of the ultrasound plane (i.e., an out-of-plane biopsy trajectory).

A target biopsy system employing an ultrasound probe (20), a target biopsy needle (30) and a ultrasound guide controller (44). In operation, the ultrasound probe (20) projects an ultrasound plane intersecting an anatomical region (e.g. a liver). The target biopsy needle (30) include two or more ultrasound receivers (31) for sensing the ultrasound plane as the target biopsy needle (30) is inserted into the anatomical region. In response to the ultrasound receiver(s) (31) sensing the ultrasound plane, the ultrasound guide controller (44) predicts a biopsy trajectory of the target biopsy needle (30) within the anatomical region relative to the ultrasound plane. The prediction indicates the biopsy trajectory is either within the ultrasound plane (i.e., an in-plane biopsy trajectory) or outside of the ultrasound plane (i.e., an out-of-plane biopsy trajectory).

A computer implemented method for determining a configuration of a medical robotic arm, wherein the configuration comprises a pose of the robotic arm and a position of a base of the robotic arm, comprising the steps of: —acquiring treatment information data representing information about the treatment to be performed by use of the robotic arm; —acquiring patient position data representing the position of a patient to be treated; and —calculating the configuration from the treatment information data and the patient position data.

A method of automatically registering a surgical navigation system to a patient's anatomy is provided. The method comprises programming a surgical navigation system with a first spatial relationship between a surgical component and a reference array connected to the surgical component, programming the surgical navigation system with a second spatial relationship between an anatomical feature of a patient and the surgical component, installing the surgical component on the patient such that the surgical component engages the anatomical feature in the second spatial relationship, and locating the reference array with the surgical navigation system. The navigation system automatically recognizes the position of the reference array relative to the patient's anatomy.

A method is provided for evaluating the tension or laxity of the soft tissue surrounding a patient's knee joint. Based on this evaluation, a surgeon may determine a desired resection depth for a knee arthroplasty procedure that will achieve an appropriate spacing between adjacent, articulating components of the knee joint.

An intra-cardiac mapping system is based on locating the ports through which blood flows in or out the heart chambers. For many procedures, such as ablation to cure atrial fibrillation, locating the pulmonary veins and the mitral valve accurately allows to perform a Maze procedure. The location of the ports and valves is based on using the convective cooling effect of the blood flow. The mapping can be performed by a catheter-deployed expandable net or a scanning catheter. The same net or catheter can also perform the ablation procedure.