An apparatus for detecting a locating medium in tissue includes a probe, and a console. The probe includes a handle and a detector disposed on a distal end of the probe. The console is in communication and includes a display. The display has a first graphical representation and a second graphical representation. The first graphical representation is configured to depict a count real-time count based on a signal from the detector. The second graphical representation is configured to depict a target count.

An apparatus for detecting a locating medium in tissue includes a probe, and a console. The probe includes a handle and a detector disposed on a distal end of the probe. The console is in communication and includes a display. The display has a first graphical representation and a second graphical representation. The first graphical representation is configured to depict a count real-time count based on a signal from the detector. The second graphical representation is configured to depict a target count.

In one embodiment, a method of implanting a stimulation lead to stimulate a dorsal root ganglion (DRG) of a patient, comprises: placing a distal portion of the stimulation lead within an implant tool; accessing the epidural space of the patient with the distal end of the implant tool; contacting a surface of a pedicle of the patient with a distal tip of the Implant tool above a foramen leading to a target DRG; after contacting the surface of the pedicle with the distal tip, advancing the stimulation lead from a side port of the implant tool, wherein the side port is located proximal to the distal tip of the implant tool; advancing the stimulation lead through the foramen to position one or more electrodes of the stimulation lead adjacent to the target DRG; and providing electrical stimulation to the target DRG to stimulate the target DRG using one or more electrodes of the stimulation lead.

In one embodiment, a method of implanting a stimulation lead to stimulate a dorsal root ganglion (DRG) of a patient, comprises: placing a distal portion of the stimulation lead within an implant tool; accessing the epidural space of the patient with the distal end of the implant tool; contacting a surface of a pedicle of the patient with a distal tip of the Implant tool above a foramen leading to a target DRG; after contacting the surface of the pedicle with the distal tip, advancing the stimulation lead from a side port of the implant tool, wherein the side port is located proximal to the distal tip of the implant tool; advancing the stimulation lead through the foramen to position one or more electrodes of the stimulation lead adjacent to the target DRG; and providing electrical stimulation to the target DRG to stimulate the target DRG using one or more electrodes of the stimulation lead.

A computer-assisted imaging and localization system assists the physician in positioning surgical effecters, such as implants, tools and instruments, within a surgical site in a patient's body. The system displays overlapping images—one image of the surgical site with the patient's anatomy and another image showing the surgical effecter(s). The overlapping image of the surgical effecter(s) is moved over the static image of the anatomy as the implant/instrument is moved. The movement of the surgical effecter(s) is determined in a three-dimensional coordinate system at a home base location in the patient's anatomy, which home base can be moved during the procedure without interrupting the displays of the overlapping images.

A roll-detecting sensor assembly includes a coil extending along and disposed about an axis. The coil comprises one or more portions, with each portion defining a winding angle. At least one of the portions defines a winding angle that is substantially nonzero relative to a line perpendicular to the axis, whereby the projected area of the coil in an applied magnetic field changes as the coil rotates about the axis. As a result, the coil is configured to produce a signal responsive to the magnetic field indicative of the roll of the sensor about the axis. In an embodiment, at least one of the portions defines a winding angle that is at least 2 degrees. In an embodiment, at least one of the portions defines a winding angle that is about 45 degrees.

Medical imaging systems and methods are provided herein that provide for navigation and procedure planning without segmentation. A method comprises receiving, by a medical imaging system having at least: one processing device, three-dimensional image data of a patient anatomy. The method also comprises filtering the three-dimensional data to display a portion of the three-dimensional image data that is associated with the patient anatomy and receiving, at the processing device, input from an operator input device. The input comprises navigational directions for virtual movement within a space defined by the three-dimensional image data. The method also includes tracking the virtual movement and generating a first model of the patient anatomy based on the tracked virtual movement.

One or more devices, systems, methods, and storage mediums using artificial intelligence application(s) using an apparatus or system that uses and/or controls one or more imaging modalities, such as, but not limited to, angiography, Optical Coherence Tomography (OCT), Multi-modality OCT, near-infrared fluorescence (NIRAF), OCT-NIRAF, etc. are provided herein. Examples of AI applications discussed herein, include, but are not limited to, using one or more of: AI coregistration, AI marker detection, deep or machine learning, computer vision or image recognition task(s), keypoint detection, feature extraction, model training, input data preparation techniques, input mapping to the model, post-processing, and/or interpretation of output data, one or more types of machine learning models (including, but not limited to, segmentation, regression, combining or repeating regression and/or segmentation), marker detection success rates, and/or coregistration success rates to improve or optimize marker detection and/or coregistration.

One or more devices, systems, methods, and storage mediums using artificial intelligence application(s) using an apparatus or system that uses and/or controls one or more imaging modalities, such as, but not limited to, angiography, Optical Coherence Tomography (OCT), Multi-modality OCT, near-infrared fluorescence (NIRAF), OCT-NIRAF, etc. are provided herein. Examples of AI applications discussed herein, include, but are not limited to, using one or more of: AI coregistration, AI marker detection, deep or machine learning, computer vision or image recognition task(s), keypoint detection, feature extraction, model training, input data preparation techniques, input mapping to the model, post-processing, and/or interpretation of output data, one or more types of machine learning models (including, but not limited to, segmentation, regression, combining or repeating regression and/or segmentation), marker detection success rates, and/or coregistration success rates to improve or optimize marker detection and/or coregistration.

The present invention relates to flexible sheath assemblies capable of being localized in three-dimensions (i.e., determining the location and orientation) in real-time based on two-dimensional x-ray images, and related systems and methods.