An orthopedic implant manufacturing method. The method includes preparing a pre-operative surgical plan for a specific patient, the surgical plan including a three-dimensional image of a patient's joint indicating at least one resection plane, communicating the surgical plan to a surgeon of the patient, and receiving approval of the surgical plan and the resection plane by the surgeon. The method also includes providing automated osteophyte/protrusion removal control for surgeon manipulation, receiving a modified three-dimensional image of a patient's joint indicating an osteophyte/protrusion removal and a recommendation for a corresponding selected orthopedic implant from the surgeon, and requesting manufacture of the selected orthopedic implant.

Devices, systems, and methods for treating cardiac arrhythmia are disclosed herein. In some embodiments, devices, systems, and methods disclosed herein deliver interrogating energy to tissue at a position on a wall of an anatomical structure of a patient. If the devices, systems, and methods disclosed herein detect a change in electrical activity of the anatomical structure in response to the interrogating energy, the devices, systems, and methods disclosed herein can apply irreversible therapy to the tissue. In some embodiments, the change in electrical activity corresponds to slowing or termination of a detected arrhythmia.

Devices, systems, and methods for treating cardiac arrhythmia are disclosed herein. In some embodiments, devices, systems, and methods disclosed herein deliver interrogating energy to tissue at a position on a wall of an anatomical structure of a patient. If the devices, systems, and methods disclosed herein detect a change in electrical activity of the anatomical structure in response to the interrogating energy, the devices, systems, and methods disclosed herein can apply irreversible therapy to the tissue. In some embodiments, the change in electrical activity corresponds to slowing or termination of a detected arrhythmia.

Disclosed are a system, method, and computer program product for generating pruned tractograms of neural fiber bundles. The method includes receiving scan data produced by diffusion imaging of at least a portion of a brain from a magnetic-resonance imaging (MRI) device. The method also includes generating an initial tractogram by mapping neuronal fiber pathways of a target fiber bundle of the scan data. The method further includes generating a density map using a set of tracts from the initial tractogram, identifying each tract that passes through a segment of the density map more than once, and setting a contribution of said tract to a unique tract count of the segment equal to a threshold pruning value. The method further includes generating a pruned tractogram by identifying a segment having a unique tract count less than or equal to the threshold pruning value and excluding the segment from the pruned tractogram.

Disclosed are a system, method, and computer program product for generating pruned tractograms of neural fiber bundles. The method includes receiving scan data produced by diffusion imaging of at least a portion of a brain from a magnetic-resonance imaging (MRI) device. The method also includes generating an initial tractogram by mapping neuronal fiber pathways of a target fiber bundle of the scan data. The method further includes generating a density map using a set of tracts from the initial tractogram, identifying each tract that passes through a segment of the density map more than once, and setting a contribution of said tract to a unique tract count of the segment equal to a threshold pruning value. The method further includes generating a pruned tractogram by identifying a segment having a unique tract count less than or equal to the threshold pruning value and excluding the segment from the pruned tractogram.

The invention relates to a method for automatically planning a trajectory to be followed during a medical intervention by a medical instrument targeting an anatomy of interest of a patient, said automatic planning method comprising the steps of: acquiring at least one medical image of the anatomy of interest; determining a target point on the previously acquired image; generating a set of trajectory planning parameters from the medical image of the anatomy of interest and the previously determined target point, the set of planning parameters comprising coordinates of an entry point on the medical image. The set of parameters is generated using a machine learning method of neural network type. The invention also relates to a guiding device implementing the set of planning parameters obtained.

The invention relates to a method for automatically planning a trajectory to be followed during a medical intervention by a medical instrument targeting an anatomy of interest of a patient, said automatic planning method comprising the steps of: acquiring at least one medical image of the anatomy of interest; determining a target point on the previously acquired image; generating a set of trajectory planning parameters from the medical image of the anatomy of interest and the previously determined target point, the set of planning parameters comprising coordinates of an entry point on the medical image. The set of parameters is generated using a machine learning method of neural network type. The invention also relates to a guiding device implementing the set of planning parameters obtained.

Disclosed is an intraluminal imaging system, including an intraluminal imaging catheter or guidewire configured to be positioned within an anatomy of a patient, and a processor circuit in communication with the imaging catheter or guidewire, wherein the processor circuit is configured to receive a plurality of cross-sectional images of the anatomy from the imaging catheter or guidewire. The processor is further configured to compute, using image processing of at least one of the cross-sectional images, a value of the anatomy, estimate a cross-sectional shape of the anatomy to be circular, calculate a diameter of the anatomy based on the computed value and the estimated circular shape, and output the diameter of the anatomy to a display.

Disclosed is an intraluminal imaging system, including an intraluminal imaging catheter or guidewire configured to be positioned within an anatomy of a patient, and a processor circuit in communication with the imaging catheter or guidewire, wherein the processor circuit is configured to receive a plurality of cross-sectional images of the anatomy from the imaging catheter or guidewire. The processor is further configured to compute, using image processing of at least one of the cross-sectional images, a value of the anatomy, estimate a cross-sectional shape of the anatomy to be circular, calculate a diameter of the anatomy based on the computed value and the estimated circular shape, and output the diameter of the anatomy to a display.

A system receives a first set of points corresponding to an anatomical feature. Each point in the first set of points represents a position in a first frame. The system receives a second set of points corresponding to the anatomical feature. Each point in the second set of points represents a position in a second frame. The system identifies a first subset of the first set of points and determines a first transformation to align the first subset of the first set of points with the second set of points. The first set of points is transformed based on the first transformation. The system identifies a second subset of the first set of points and determines a second transformation to align the first and second subsets of the first set of points with the second set of points. The first set of points are transformed based on the second transformation.