Artificial intelligence coregistration and marker detection, including machine learning and using results thereof
US-12161426-B2 · Dec 10, 2024 · US
US2025241714A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2025241714-A1 |
| Application number | US-202519069373-A |
| Country | US |
| Kind code | A1 |
| Filing date | Mar 4, 2025 |
| Priority date | Jun 9, 2020 |
| Publication date | Jul 31, 2025 |
| Grant date | — |
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A camera tracking bar of a camera tracking system for computer assisted surgery navigation. The camera tracking bar includes a first set of stereo tracking cameras having first resolution, first field of view, and spaced apart on the camera tracking bar by a first baseline distance. The camera tracking bar also includes a second set of stereo tracking cameras having second resolution, second field of view, and spaced apart on the camera tracking bar by a second baseline distance that is less than the first baseline distance. The second set of stereo tracking cameras is positioned between the first set of stereo tracking cameras, and the resolution and/or the field of view of the second set of stereo tracking cameras is different from the resolution and/or the field of view of the first set of stereo tracking cameras. A communication interface provides camera video streams to the camera tracking subsystem.
Opening claim text (preview).
What is claimed is: 1 . A camera tracking system for computer assisted navigation during surgery, the camera tracking system comprising: a processor; a camera tracking bar coupled to the processor and configured to be stationary relative to an operating table, the camera bar including: a first set of stereo tracking cameras having a first resolution and a first field of view (FOV), and spaced apart on the camera tracking bar by a first baseline distance; a second set of stereo tracking cameras having a second resolution and a second FOV, and spaced apart on the camera tracking bar by a second baseline distance that is less than the first baseline distance; a near-infrared (NIR) illuminator positioned near the first or second set of stereo tracking cameras, and configured to generate NIR light for illuminating a surgical field; wherein the second set of stereo tracking cameras is positioned between the first set of stereo tracking cameras, and the resolution and the FOV of the second set of stereo tracking cameras are different from the resolution and the FOV of the first set of stereo tracking cameras; and a communication interface configured to output video streams from the first set of stereo tracking cameras and the second set of stereo tracking cameras to the processor for tracking a plurality of surgical instruments. 2 . The camera tracking system of claim 1 , wherein the processor is configured to turn on the NIR illuminator when an ambient light level is below an ambient light threshold. 3 . The camera tracking system of claim 2 , wherein responsive to turning on the NIR illuminator, the processor stops processing video from the first set of stereo tracking cameras based on a visible light camera calibration file and starts processing the video using an NIR light camera calibration file. 4 . The camera tracking system of claim 1 , further comprising a dual pass filter that passes a first band of selected range of visible light and a second band of selected range of NIR light. 5 . The camera tracking system of claim 1 , wherein the first set of stereo tracking cameras are attached to a surface of the camera tracking bar and are angled inwardly toward each other at a first angle. 6 . The camera tracking system of claim 5 , wherein the second set of stereo tracking cameras are attached to a surface of the camera tracking bar and are angled inwardly toward each other at a second angle that is different from the first angle. 7 . The camera tracking system of claim 1 , wherein the camera bar further comprises an inertial motion sensor (IMU) for sensing movement of the camera bar, and the processor is configured to determine whether a movement sensed by the IMU is from the camera bar or a tracked optical array. 8 . The camera tracking system of claim 7 , wherein the processor is further configured to align orientation of motion data measurements from the IMU to a gravity reference. 9 . The camera tracking system of claim 1 , wherein the processor is further configured to align orientation of the video streams to a gravity reference. 10 . The camera tracking system of claim 1 , wherein the processor is further configured to track the surgical instruments through both the first and second sets of stereo tracking cameras simultaneously to reduce a point triangulation ambiguity. 11 . A camera tracking system for computer assisted navigation during surgery, the camera tracking system comprising: a processor; a camera tracking bar coupled to the processor and configured to be stationary relative to an operating table, the camera bar including: a first set of stereo tracking cameras having a first resolution and a first field of view (FOV), and spaced apart on the camera tracking bar by a first baseline distance; a second set of stereo tracking cameras having a second resolution and a second FOV, and spaced apart on the camera tracking bar by a second baseline distance that is less than the first baseline distance; a near-infrared (NIR) illuminator positioned near the first or second set of stereo tracking cameras, and configured to generate NIR light for illuminating a surgical field; wherein the second set of stereo tracking cameras is positioned between the first set of stereo tracking cameras, and the resolution and the FOV of the second set of stereo tracking cameras are different from the resolution and the FOV of the first set of stereo tracking cameras; wherein a sensor exposure speed for the first set of stereo tracking cameras is different from the second set of stereo tracking cameras; and a communication interface configured to output video streams from the first set of stereo tracking cameras and the second set of stereo tracking cameras to the processor for tracking a plurality of surgical instruments including an optical array affixed to a patient. 12 . The camera tracking system of claim 11 , wherein the processor is configured to turn on the NIR illuminator when an ambient light level is below an ambient light threshold. 13 . The camera tracking system of claim 12 , wherein responsive to turning on the NIR illuminator, the processor stops processing video from the first set of stereo tracking cameras based on a visible light camera calibration file and starts processing the video using an NIR light camera calibration file. 14 . The camera tracking system of claim 11 , further comprising a dual pass filter that passes a first band of selected range of visible light and a second band of selected range of NIR light. 15 . The camera tracking system of claim 11 , wherein the first set of stereo tracking cameras are attached to a surface of the camera tracking bar and are angled inwardly toward each other at a first angle. 16 . The camera tracking system of claim 15 , wherein the second set of stereo tracking cameras are attached to a surface of the camera tracking bar and are angled inwardly toward each other at a second angle that is different from the first angle. 17 . The camera tracking system of claim 11 , wherein the camera bar further comprises an inertial motion sensor (IMU) for sensing movement of the camera bar, and the processor is configured to determine whether a movement sensed by the IMU is from the camera bar or a tracked optical array. 18 . The camera tracking system of claim 17 , wherein the processor is further configured to align orientation of motion data measurements from the IMU to a gravity reference. 19 . The camera tracking system of claim 11 , wherein the processor is further configured to align orientation of the video streams to a gravity reference. 20 . The camera tracking system of claim 11 , wherein the processor is further configured to track the surgical instruments through both the first and second sets of stereo tracking cameras simultaneously to reduce a point triangulation ambiguity.
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