The invention provides an ultrasound system comprising an ultrasound probe, adapted to transmit and receive ultrasound signals, and an interventional device for insertion into a vessel of a subject. The interventional device includes an ultrasound transducer adapted to acquire a first set of ultrasound data at a first ultrasound frequency, wherein the first set of ultrasound data relates to flow data. The ultrasound system is further adapted exchange a second set of ultrasound data between the ultrasound probe and the interventional device at a second ultrasound frequency different from the first ultrasound frequency, wherein the second ultrasound data relates to interventional device positioning data.

Disclosed herein is a system and a method for registering a surgical site to a surgical navigation system when the surgical site contains an implant for revision joint replacement surgery. The method creates a depth map of the surgical site and provides a possible identification of the existing implant using surface matching algorithms. The model of the implant is iteratively oriented with respect to the to the depth map until an optimal fit is achieved. Once the implant has been identified and localized, the registered landmarks are used in robotic-assisted surgery.

A system for deploying needles in tissue includes a controller and a visual display. A treatment probe has both a needle and tines deployable from the needle which may be advanced into the tissue. The treatment probe also has adjustable stops which control the deployed positions of both the needle and the tines. The adjustable stops are coupled to the controller so that the virtual treatment and safety boundaries resulting from the treatment can be presented on the visual display prior to actual deployment of the system.

A medical device and a method of use thereof for frameless stereotaxy guided intracranial surgery. The medical device includes a central section made from a material that is transparent to ultrasound providing a sonic window, and an ultrasound reflective frame surrounding the central section. The method includes the steps of registering the ultrasound reflective frame with the frameless stereotaxy system for localization of the medical device during surgery. The medical device allows use of ultrasound imaging wherein the output of ultrasound imaging can be computationally combined with MRI or CT imaging data to compensate for anatomical changes in brain during surgery and enhanced localization and navigation to the surgery target.

Systems and devices for resecting and removing tissue or organs from the interior of a patient's body, in a minimally invasive laparoscopic procedure while preventing any dispersion of potentially malignant tissue during the resection process.

A system is disclosed that includes an optical tracking device and a surgical computing device. The optical tracking device includes a structured light module and an optical module that includes an image sensor and is spaced from the structured light module at a known distance. The surgical computing device includes a display device, a non-transitory computer readable medium including instructions, and processor(s) configured to execute the instructions to generate a depth map from a first image captured by the image sensor during projection of a pattern into a surgical environment by the structured light module. The pattern is projected in a near-infrared (NIR) spectrum. The processor(s) are further configured to execute the stored instructions to reconstruct a 3D surface of anatomical structure(s) based on the generated depth map. Additionally, the processor(s) are configured to execute the stored instructions to output the reconstructed 3D surface to the display device.

A controller (240/340) for simultaneously tracking multiple interventional medical devices includes a memory (242/342) that stores instructions and a processor (241/341) that executes the instructions. When executed by the processor (241/341), the instructions cause the controller to execute a process that includes receiving timing information from a first signal emitted from an ultrasound probe (252/352) and reflective of timing when the ultrasound probe (252/352) transmits ultrasound beams to generate ultrasound imagery. The process executed by the controller also includes forwarding the timing information to be available for use by a first acquisition electronic component (232/332). The first acquisition electronic component (232/332) also receives sensor information from a first passive ultrasound sensor (S1) on a first interventional medical device (212/312). The timing information is used to synchronize the sensor information from the first passive ultrasound sensor (S1) on the first interventional medical device (212/312) with sensor information from a second passive ultrasound sensor (S2) on a second interventional medical device (216/316).

Functional ultrasound imaging (“fUS”) is used to facilitate the placement of electrodes for spinal cord stimulation and to optimize and update stimulation parameters for spinal cord stimulation devices.

A method for providing a corrected dataset includes receiving a preoperative dataset having an image and/or a model of an examination region in an examination subject. Intraoperatively, a first part of a medical object is arranged in the examination region and a second part of the medical object is arranged outside the examination subject. Positioning information relating to a spatial positioning of the second part of the medical object is received. An entry angle of the medical object into the examination subject is determined using the positioning information. An intraoperative dataset having an image of the examination region is received. A conversion instruction is determined based on the entry angle of the medical object to minimize a deviation between the preoperative and the intraoperative dataset, and the corrected dataset is generated by applying the conversion instruction to the preoperative dataset. The corrected dataset is provided.

Teleoperative, partially automated, and fully automated robotic surgery systems and methods are described herein. These systems and methods relate to at least improvement of robotic movements, three dimensional tracking and pose correction for robots interacting with deformable objections, controlling and optimizing the redundant axis of a seven degree of freedom robotic arm, virtual robotic surgery and simulation, and task coordination and optimization for multi-robot surgery.