Robotic Microtool Control in an Intelligent Automated In Vitro Fertilization and Intracytoplasmic Sperm Injection Platform
US-2024426856-A1 · Dec 26, 2024 · US
US10347380B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10347380-B2 |
| Application number | US-201414205092-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 11, 2014 |
| Priority date | Mar 14, 2013 |
| Publication date | Jul 9, 2019 |
| Grant date | Jul 9, 2019 |
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Described herein are methods, systems and devices for image-guided, computer-assisted surgical procedures, in particular for intra-operative registration of anatomical structures. Embodiments of the invention may enable a user to register the surface of an anatomical structure intra-operatively in an interactive, computer-guided process. The user may send information about acquired data points to the computer, and the computer may evaluate the aggregate of data points, optionally provide instructions to the user for acquisition of additional data points, and signal to the user when sufficient data points have been acquired for registration of the surface of the anatomical structure.
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What is claimed is: 1. A computer-assisted method of registering a surface of an anatomical structure to perform an image-guided surgical procedure, the method comprising: generating an image or model of the anatomical structure from pre-operative medical images by Computer Tomography (CT), Ultrasound (US), Magnetic Resonance Imaging (MRI), or a combination thereof; storing the image or model in a computer associated with an operation room to guide a surgical procedure; acquiring data points on the surface of the anatomical structure unrestricted by localization with a tracked acquisition probe; automatically matching, in real-time by the computer, the positions of the acquired data points to corresponding positions on the virtual representation of the anatomical structure while rejecting outlying data points that incorrectly represent the surface of the image or model of the anatomical structure and; collecting the non-rejected data points; computing, in real-time, if a sufficient quantity of non-rejected data points have been collected to achieve convergence of registration of the surface with the representation of the anatomical structure; generating and displaying instructions to acquire additional data points on the surface if an insufficient quantity of non-rejected data points have been collected until convergence of registration of the surface with the representation of the anatomical structure is achieved; and executing the image-guided surgical procedure on the anatomical structure converged with the representation of the anatomical structure. 2. A computer-assisted method of registering a surface of an anatomical structure, the method comprising: generating an image or model of the anatomical structure from pre-operative medical images by Computed Tomography (CT), Ultrasound (US), Magnetic Resonance Imaging (MRI), or a combination thereof; storing the image or model of the anatomical structure in a computer associated with an operation room to guide a surgical procedure according to the surgical plan; acquiring data points on the surface of the anatomical structure unrestricted by localization with a tracked acquisition probe; and employing a computer executing a surface recognition-based algorithm to: automatically match, in real-time with the computer, the positions of the acquired data points to corresponding positions on the virtual representation of the anatomical structure while rejecting outlying data points that incorrectly represent the surface of the anatomical structure; and collecting the non-rejected data points; compute if a sufficient quantity of non-rejected data points have been collected to achieve convergence of registration of the surface with the representation of the anatomical structure; and generate instructions to acquire additional data points if an insufficient quantity of non-rejected data points have been collected until convergence of registration of the surface with the generated representation is achieved; and execute an image-guided surgical procedure on the anatomical structure converged with the representation of the anatomical structure. 3. The method of claim 2 , wherein the computer automatically stops the process of data point acquisition once a sufficient quantity of the non-rejected data points has been collected. 4. The method of claim 2 , wherein the data points represent at least one region on the anatomical structure. 5. The method of claim 2 , wherein the surface of the anatomical structure comprises multiple regions. 6. The method of claim 5 , further comprising: employing the computer to: evaluate if sufficient quantity of non-rejected data points in one or more regions have been collected to achieve convergence of registration of the surface with the representation of the anatomical structure; and provide instructions for acquiring additional data points in a specific region if said specific region has an insufficient quantity of the non-rejected data points for convergence of registration of the surface with the representation of the anatomical structure to be achieved. 7. The method of claim 2 , wherein employing the computer is performed at least in part simultaneously with acquiring of the data points. 8. The method of claim 2 , wherein acquiring data points is performed intra-operatively. 9. The method of claim 2 , wherein acquiring of data points is performed based on a signal from an acquisition probe. 10. The method of claim 9 , wherein acquiring of data points is performed with an acquisition probe having an accelerometer. 11. The method of claim 9 , wherein the acquired data points are acquired automatically when the acquisition probe contacts the bone as determined by a velocity profile of the acquisition probe. 12. The method of claim 9 , wherein acquiring of data points is performed with an acquisition probe having a force sensor. 13. The method of claim 2 , wherein acquiring of data points is performed acoustically. 14. A computer-assisted robotic system, comprising: a robotic system for executing a surgical procedure on an anatomical structure having a computer with a CPU, the CPU being capable of running computer algorithms capable of: assisting in the generation of an image or model of the anatomical structure from pre-operative medical images by Computed Tomography (CT), Ultrasound (US), Magnetic Resonance Imaging (MRI), or a combination thereof; receiving information about acquired data points, unrestricted by localization, from a surface of an anatomical structure; automatically matching, in real-time, the positions of the acquired data points to corresponding positions on the virtual representation of the anatomical structure while rejecting outlying data points that incorrectly represent the surface of the anatomical structure; collecting non-rejected data points; computing if a sufficient quantity of the non-rejected data points have been collected to achieve convergence of registration of the anatomical surface with the representation of the anatomical structure; generating user instructions for acquisition of additional data points; generating a signal for stopping acquisition of data points once convergence is achieved; and executing a surgical procedure on the anatomical structure converged with the representation of the anatomical structure; and an acquisition probe capable of acquiring data points on the surface of the anatomical structure; a detector capable of detecting the position of the acquisition probe; and a user interface. 15. The system of claim 14 , wherein the computer algorithm is based on a surface recognition-based algorithm. 16. An acquisition probe having a detection mechanism for detecting a data point on a surface of an anatomical structure, the acquisition probe being capable of automatically triggering acquisition of the data point by a computer, based on the position of the acquisition probe on the surface of the anatomical structure in the method of claim 1 . 17. The acquisition probe of claim 16 , wherein the detection mechanism is one of an accelerometer, a force sensor, a moveable post and an optical detector.
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