IP Library › Granted Patent US 12,458,314
Granted Patent B2
US 12,458,314 · App. 17/900,115 · Granted Nov 4, 2025

System and method for imaging

Inventor: Dany Junio (Brookline, MA)
Assignee: Mazor Robotics Ltd.
A61B6/5294A61B6/505A61B6/5211G06T1/0007G06T7/0012G06T7/73G06T2207/20084G06T2207/30012
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Quick Facts
Patent No.
US 12,458,314
App. No.
17/900,115
Granted
Nov 4, 2025
Kind
B2
Abstract

An imaging system and method of acquiring image data is disclosed. The imaging system is operable to acquire and/or generate image data at positions relative to a subject. The imaging system includes a drive system configured to move the imaging system.

Claims (61)

1 . A method of imaging a selected portion-region of interest (ROI) of a subject with an imaging system, the method comprising:

acquiring a first pose image data of the subject at a first pose of the imaging system relative to the subject;

labeling a portion of the acquired first pose image data of the subject;

determining whether the selected ROI of the subject is in the acquired first pose image data of the subject;

determining a position of the selected ROI of the subject relative to the labeled portion of the first pose image data of the subject, if the selected ROI of the subject is not in the acquired first pose image data;

determining a subsequent pose of the imaging system to acquire a subsequent pose image data of the selected ROI of the subject; and

determining move instructions operable to be received by the imaging system to move the imaging system to acquire the subsequent pose image data of the selected ROI of the subject.

2 . The method of claim 1 , further comprising:

acquiring the subsequent pose image data at the subsequent pose of the imaging system relative to the subject;

labeling a subsequent portion of the acquired subsequent pose image data; and

determining whether the selected ROI of the subject is in the subsequent pose image data.

3 . The method of claim 2 , further comprising:

generating an image based on at least one of the subsequent pose image data or the first pose image data of the subject;

wherein the subsequent pose image data or the first pose image data is operable to include a plurality of image data.

4 . The method of claim 2 , further comprising:

saving at least one of the first pose of the imaging system or the subsequent pose of the imaging system.

5 . The method of claim 4 , further comprising:

recalling at least one of the saved first pose of the imaging system or the subsequent pose of the imaging system; and

following a procedure relative to the subject, determining move instructions to move the imaging system to at least one of the first pose of the imaging system or the subsequent pose of the imaging system.

6 . The method of claim 1 , wherein labeling the portion of the image data includes labeling at least one feature in the image data.

7 . The method of claim 6 , wherein labeling at least one feature in the image data includes identifying and labeling at least one vertebra of the subject as a specific vertebra of the subject.

8 . The method of claim 6 , wherein labeling the portion of the image data includes analyzing the image data with a trained neural network to label the portion of the image data.

9 . A method of imaging a selected region of interest (ROI) of a subject with an imaging system, the method comprising:

acquiring a first pose image data of the subject at a first pose of the imaging system relative to the subject;

labeling a portion of the acquired first pose image data of the subject at least by executing instructions with a processor, wherein the instructions include a trained neural network;

determining whether the selected ROI of the subject is in the acquired first pose image data of the subject; and

generating an image based on the first pose image data if the selected ROI of the subject is determined to be within the acquired first pose image data of the subject.

10 . The method of claim 9 , further comprising:

determining a position of the selected ROI of the subject relative to the labeled portion of the first pose image data, if the selected ROI of the subject is not in the acquired first pose image data;

determining a subsequent pose of the imaging system to acquire a subsequent pose image data of the selected ROI of the subject; and

determining move instructions to move the imaging system to acquire the subsequent pose image data of the selected ROI of the subject.

11 . The method of claim 10 , further comprising:

acquiring the subsequent pose image data at the subsequent pose of the imaging system relative to the subject;

labeling a subsequent portion of the acquired subsequent pose image data; and

determining whether the selected ROI of the subject is in the subsequent pose image data.

12 . The method of claim 11 , further comprising:

generating the image based at least one of the subsequent pose image data or the first pose image data that is determined to include the selected ROI of the subject.

13 . The method of claim 11 , further comprising:

operating the imaging system to move based on the determined move instructions to move the imaging system.

14 . A system to image a selected region of interest (ROI) of a subject with an imaging system, comprising:

an imaging system to acquire image data of the subject;

a processor configured to execute instruction to:

acquire a first pose image data of the subject at a first pose of the imaging system relative to the subject;

label a portion of the acquired first pose image data of the subject;

determine whether the selected ROI of the subject is in the acquired first pose image data of the subject;

determine a position of the selected ROI of the subject relative to the labeled portion of the first pose image data, if the selected ROI of the subject is not in the acquired first pose image data;

determine a subsequent pose of the imaging system to acquire a subsequent pose image data of the selected ROI of the subject; and

determine move instructions to move the imaging system to acquire the subsequent pose image data of the selected ROI of the subject.

15 . The system of claim 14 , wherein the processor comprises an imaging processor configured to execute the instructions to label the portion of the acquired first pose image data and a movement processor configured to execute the instructions to determine the move instructions to move the imaging system to acquire the subsequent pose image data of the selected ROI of the subject.

16 . The system of claim 14 , wherein the processor is configured to execute further instructions to:

acquire the subsequent pose image data at the subsequent pose of the imaging system relative to the subject;

label a subsequent portion of the acquired subsequent pose image data; and

determine whether the selected ROI of the subject is in the subsequent pose image data.

17 . The system of claim 14 , wherein the processor is configured to execute further instructions to:

generate an image based on at least one of the subsequent pose image data or the first pose image data.

18 . The system of claim 14 , wherein the processor is configured to execute further instructions to:

save at least one of the first pose of the imaging system or the subsequent pose of the imaging system.

19 . The system of claim 18 , wherein the processor is configured to execute further instructions to:

recall at least one of the saved first pose of the imaging system or the subsequent pose of the imaging system; and

following a procedure relative to the subject, determining move instructions to move the imaging system to at least one of the first pose of the imaging system or the subsequent pose of the imaging system.

20 . The system of claim 14 , wherein the processor is configured to execute further instructions to label the ROI of the subject of the image data by analyzing the image data with a trained neural network to label the ROI of the subject of the image data.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 31, 2022
From: JUNIO, DANY
To: MAZOR ROBOTICS LTD.
Reel/Frame 060953/0887 →
Continuity (1)
Related Publication 20240065661A1 · Feb 29, 2024
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