Systems and devices for catheter driving instinctiveness
US-2015265807-A1 · Sep 24, 2015 · US
US10130345B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10130345-B2 |
| Application number | US-201715649522-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 13, 2017 |
| Priority date | Mar 15, 2013 |
| Publication date | Nov 20, 2018 |
| Grant date | Nov 20, 2018 |
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Systems and methods are described herein for tracking an elongate instrument or other medical instrument in an image.
Opening claim text (preview).
The invention claimed is: 1. A robotic system configured to manipulate a tool within a patient's anatomy, the system comprising: the tool comprising a shape sensor that senses a shape of at least a portion of the tool while within the patient's anatomy; a robotic drive system comprising at least one actuator, the robotic drive system coupled to the tool and configured to articulate the tool within the patient's anatomy and a controller configured to register a sensor reference frame and a 3-dimensional (3D) model, reference frame based on the shape of the tool and features of a 3D model of the patient's anatomy, the controller also being configured to direct the robotic drive system based on the registration. 2. The robotic system of claim 1 , wherein the controller is further configured to combine a plurality of discrete registrations to produce a combined registration between the sensor reference frame and the 3D model reference frame to produce a plurality of signals to direct the robotic drive system based on the combined registration. 3. The robotic system of claim 1 , wherein the shape sensor comprises at least one optical fiber. 4. The robotic system of claim 3 , wherein the controller is further configured with an algorithm to match a curved shape of the tool determined by the at least one optical fiber with a corresponding shape in the 3D model. 5. The robotic system of claim 3 , wherein the algorithm is one of an automated geometric search and a mathematical optimization technique. 6. The robotic system of claim 3 , wherein the image is one of a pre-operative anatomical image and an intra-operative image. 7. The robotic system of claim 3 , wherein the 3D model reference frame comprises a fluoroscopic model comprising a plurality of fluoroscopic images. 8. The robotic system of claim 3 , wherein the 3D model is derived from an imaging device. 9. The robotic system of claim 3 , wherein the 3D model is derived from Computed Tomography (CT). 10. The robotic system of claim 3 , wherein the controller is configured to register the sensor reference frame and 3D model reference frame at least manually, semi-automatically, or automatically. 11. A system configured to control a medical device within in a patient's anatomy for performing a procedure in the patient's anatomy, the system comprising: a user input device; an actuator configured to articulate the medical device with respect to the patient's anatomy, and a controller configured to receive a signal from a shape sensor positioned on the medical device that can sense a shape of at least a portion of the medical device while in the patient's anatomy, the controller also configured to register a sensor reference frame and a 3-dimensional (3D) model reference frame based on the shape of the medical device and features of a 3D model of the patient's anatomy. 12. The system of claim 11 , wherein the shape sensor comprises at least one optical fiber. 13. The system of claim 12 , wherein the controller is further configured with an algorithm to match a curved shape of the medical device determined by the at least one optical fiber with a corresponding shape in the 3D model. 14. The system of claim 13 , wherein the algorithm is one of an automated geometric search and a mathematical optimization technique. 15. The system of claim 11 , wherein the 3D model is one of a pre-operative anatomical image and an intra-operative image. 16. The system of claim 11 , wherein the 3D model reference frame comprises a fluoroscopic model comprising a plurality of fluoroscopic images. 17. The system of claim 11 , wherein the 3D model is derived from an imaging device. 18. The system of claim 11 , wherein the 3D model is derived from Computed Tomography (CT). 19. The system of claim 11 , wherein the controller is configured to register the sensor reference frame and 3D model reference frame at least manually, semi-automatically, or automatically.
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