A method for referencing a tracking system's coordinate frame to a rigid body's coordinate frame is disclosed. The method involves obtaining a 3D model depicting some of the surfaces of the rigid body. A probe is provided with an affixed tracking reference component. A second tracking reference component is attached to the rigid body. The method involves tracking locations of the probe as it moves along surfaces of the rigid body and then determining a transform that relates the probe locations to the 3D model of the rigid body. In one embodiment the rigid body is a dental mandible or maxilla of a patient and the 3D model is a surface extracted from a computed tomography image of the patient's jaw and teeth.

A medical image-processing apparatus according to an embodiment includes processing circuitry configured to determine a position of a feature point of a device in a first X-ray image, and generate a superimposed image in which a 3D model expressing the device is superimposed on the first X-ray image or a second X-ray image that is acquired later than the first X-ray image. The processing circuitry is configured to superimpose the 3D model on the first X-ray image or the second X-ray image at a position based on the position of the feature point.

An automatic method of categorizing the contact force of a catheter tip against a portion of a patient's heart based on motion of the catheter tip, the method comprising (a) capturing a series of 3D-coordinate data points of the catheter tip as a function of discrete times with a 3D medical imaging system, the 3D coordinates corresponding to an orthogonal 3-axis spatial coordinate system, (b) using a programmable computing system, computing a set of measures based on the series of 3D-coordinate data points, (c) categorizing each measure by a respective set of predetermined threshold values; and (d) combining the categorized measures to yield a relative quality of the contact force.

Methods and systems are provided for reconstruction error assessment for an interventional tool utilized in an image guided interventional procedure. In one example, an error model based on a target lesion position within a tissue, one or more interventional tool parameters, and imaging system parameters may be utilized to estimate an expected reconstruction error for the interventional tool. In another example, when the interventional tool is within the tissue, the expected reconstruction error may be utilized along with observed tool shape and size to infer an actual tool position and shape within the tissue.

Methods and systems are provided for reconstruction error assessment for an interventional tool utilized in an image guided interventional procedure. In one example, an error model based on a target lesion position within a tissue, one or more interventional tool parameters, and imaging system parameters may be utilized to estimate an expected reconstruction error for the interventional tool. In another example, when the interventional tool is within the tissue, the expected reconstruction error may be utilized along with observed tool shape and size to infer an actual tool position and shape within the tissue.

Catheter-delivered endovascular medical devices are described. The devices may include a pull wire attached to a distal body. The distal body may be formed of a distal body outer body comprising a basket comprised of a plurality of cells defined by a plurality of basket strips and a distal body inner body located in the interior of the distal body outer body and comprising a plurality of distal braided mesh openings formed by a plurality of woven linear strands. The distal braided mesh openings may be smaller than the cells when the device is in the relaxed state. Methods of using and making the devices are also described.

An insertion tool guide for a medical procedure like a biopsy. The tool guide includes (a) a frame configured to be adjoined to a medical image modality and maintain an insertion angle aligned with a plane of view generated by the medical image modality; (b) a guide body having an adjustable channel configured to receive and translate an insertion tool; (c) a main channel defined by the frame configured to allow the guide body and the insertion tool to rotate within a plane of movement; (d) a guide channel formed along one side of the frame configured to allow the guide body to translate along its length; and (e) a peg extending from the guide body and through the guide channel to secure the guide body within the frame. The guide body is configured to rotate about an axis defined by the peg.

The present disclosure relates to a method and a device for treating heart failure by normalizing elevated blood pressure in the left and right atria of a heart of a mammal. The present disclosure includes methods for creating and maintaining an opening in the atrial septum. Tools for making an opening and enlarging the opening are also disclosed. Use of the techniques and tools described herein prolongs the patency of an intra-atrial pressure relief opening.

A station for tomotactic-guided biopsy in prone includes a table with an aperture, and a tomosynthesis imaging system. A biopsy gun can be mounted on a stage arm assembly disposed below the table. The imaging system and stage arm assembly can be independently rotated and linearly repositioned in one or more dimensions, thereby allowing the tomotactic scan axis to be located relative to a breast being imaged.

The present invention relates to a medical system using an interventional elongated medical device having an optical fiber configured for optical shape sensing of the medical device. The system comprises a detection unit configured to detect a confined manipulation section along the medical device for manipulation by a user without an interaction interface arranged on the medical device and an analysis unit configured to analyze a user manipulation applied to the manipulation section based on optical shape sensing of the medical device in the manipulation section and to trigger an event in the medical system, if the analysis unit identifies the user manipulation in the manipulation section as a specific manipulation associated with the event to be triggered.