Abstract: In an example, a system is disclosed for registering an anatomical model to an anatomical structure of a patient. The system includes an anatomical measurement wire (“AMW”) configured to be navigated within the anatomical structure, the AMW comprising at least one sensor. A tracking system is configured to provide tracking data representing multiple positions of the sensor in a spatial coordinate system. A computing device is configured to generate a tracking point cloud based on the tracking data. The computing device is configured to register the predetermined anatomical model with the anatomical structure of the patient by matching the tracking point cloud with the model point cloud with respect to the predetermined anatomical model based on a quality metric.

Abstract: A guidewire, which can be used with a surgical navigation system, is provided. An elongate tube body defines a tube lumen and has longitudinally spaced proximal and distal body ends. The tube body includes a first longitudinal biasing portion including at least one first-direction helical cut therealong. The tube body also includes a second longitudinal biasing portion, including at least one second-direction helical cut therealong. The first direction is radially opposite the first direction. A core wire is at least partially located inside the tube lumen and has longitudinally spaced proximal and distal core wire ends. A tracking sensor is located at least partially within the tube lumen.

Abstract: An example system is disclosed for generating a model of a tubular anatomical structure. The system includes an anatomical measurement wire (“AMW”), a tracking system and a computing device. The AMW is configured to be navigated through the anatomical structure of a patient, and the AMW includes at least one sensor. The tracking system is configured to provide tracking data representing multiple positions of the sensor in a spatial coordinate system. The computing device is configured to generate a data point cloud based on the tracking data, generate a parametric model corresponding to at least a portion of the vessel based on the data point cloud and store the parametric model in non-transitory memory.

Abstract: A guidewire, which can be used with a surgical navigation system, is provided. An elongate tube body defines a tube lumen and has longitudinally spaced proximal and distal body ends. The tube body includes a first longitudinal biasing portion including at least one first-direction helical cut therealong. The tube body also includes a second longitudinal biasing portion, including at least one second-direction helical cut therealong. The first direction is radially opposite the first direction. A core wire is at least partially located inside the tube lumen and has longitudinally spaced proximal and distal core wire ends. A tracking sensor is located at least partially within the tube lumen.

Abstract: An example system is disclosed for generating a model of a tubular anatomical structure. The system includes an anatomical measurement wire (“AMW”), a tracking system and a computing device. The AMW is configured to be navigated through the anatomical structure of a patient, and the AMW includes at least one sensor. The tracking system is configured to provide tracking data representing multiple positions of the sensor in a spatial coordinate system. The computing device is configured to generate a data point cloud based on the tracking data, generate a parametric model corresponding to at least a portion of the vessel based on the data point cloud and store the parametric model in non-transitory memory.

Abstract: In an example, a system is disclosed for registering an anatomical model to an anatomical structure of a patient. The system includes an anatomical measurement wire (“AMW”) configured to be navigated within the anatomical structure, the AMW comprising at least one sensor. A tracking system is configured to provide tracking data representing multiple positions of the sensor in a spatial coordinate system. A computing device is configured to generate a tracking point cloud based on the tracking data. The computing device is configured to register the predetermined anatomical model with the anatomical structure of the patient by matching the tracking point cloud with the model point cloud with respect to the predetermined anatomical model based on a quality metric.

Abstract: A computer implemented method for determining a centerline of a three-dimensional tubular structure is described. The method includes providing an edge-detected data set of voxels that characterize a boundary of the tubular structure according to a three-dimensional voxel data set for the tubular structure. A gradient field of a distance transformation is computed for the edge-detected dataset. A voxel data set corresponding to a centerline of the tubular structure is computed according to derivative of gradient field. A trajectory within the tubular structure is computed based on the centerline.

Abstract: A computer implemented method for determining a centerline of a three-dimensional tubular structure is described. The method includes providing an edge-detected data set of voxels that characterize a boundary of the tubular structure according to a three-dimensional voxel data set for the tubular structure. A gradient field of a distance transformation is computed for the edge-detected dataset. A voxel data set corresponding to a centerline of the tubular structure is computed according to derivative of gradient field. A trajectory within the tubular structure is computed based on the centerline.

Abstract: A computer implemented method for determining a centerline of a three-dimensional tubular structure is described. The method includes providing an edge-detected data set of voxels that characterize a boundary of the tubular structure according to a three-dimensional voxel data set for the tubular structure. A gradient field of a distance transformation is computed for the edge-detected dataset. A voxel data set corresponding to a centerline of the tubular structure is computed according to derivative of gradient field.

Abstract: A computer implemented method for determining a centerline of a three-dimensional tubular structure is described. The method includes providing an edge-detected data set of voxels that characterize a boundary of the tubular structure according to a three-dimensional voxel data set for the tubular structure. A gradient field of a distance transformation is computed for the edge-detected dataset. A voxel data set corresponding to a centerline of the tubular structure is computed according to derivative of gradient field.

Abstract: A computer implemented method for determining a centerline of a three-dimensional tubular structure is described. The method includes providing an edge-detected data set of voxels that characterize a boundary of the tubular structure according to a three-dimensional voxel data set for the tubular structure. A gradient field of a distance transformation is computed for the edge-detected dataset. A voxel data set corresponding to a centerline of the tubular structure is computed according to derivative of gradient field.

Abstract: A computer implemented method for determining a centerline of a three-dimensional tubular structure is described. The method includes providing an edge-detected data set of voxels that characterize a boundary of the tubular structure according to a three-dimensional voxel data set for the tubular structure. A gradient field of a distance transformation is computed for the edge-detected dataset. A voxel data set corresponding to a centerline of the tubular structure is computed according to derivative of gradient field.