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EP-4734852-A1 - SYSTEMS AND METHODS FOR CALIBRATING AN IMAGING DEVICE

EP4734852A1EP 4734852 A1EP4734852 A1EP 4734852A1EP-4734852-A1

Abstract

Systems and methods for calibrating an imaging device are provided. Output data may be received and a calibration model may be generated using the output data. The calibration model may be configured to extrapolate calibration values. The calibration model may be applied to an imaging device having a limited dynamic range. The calibration model may also be configured to extrapolate calibration values outside of the limited dynamic range.

Inventors

  • WEISS, Noam

Assignees

  • Mazor Robotics Ltd.

Dates

Publication Date
20260506
Application Date
20240626

Claims (15)

  1. 1. A method for calibrating an imaging device (112) comprising: receiving output data (204); generating a calibration model (120) using the output data, the calibration model configured to extrapolate calibration values (206); and applying the calibration model to an imaging device (112) having a limited dynamic range, the calibration model configured to extrapolate calibration values outside of the limited dynamic range.
  2. 2. The method of claim 1, wherein the output data is received from a dosimeter (116) configured to output a radiation parameter, wherein the radiation parameter is used by the calibration model to determine the calibration values.
  3. 3. The method of claim 2, wherein the radiation parameter comprises an air kerma value.
  4. 4. The method of any preceding claim, wherein the output data is determined from image data from at least one of the imaging device or another imaging device.
  5. 5. The method of claim 4, wherein when the image data is received from the imaging device, the image data is received when the imaging device is using a high dynamic range.
  6. 6. The method of claims 4 or 5, wherein the image data is received from the another imaging device using a high dynamic range.
  7. 7. The method of any of claims 4-6, wherein the image data comprises x-ray image data.
  8. 8. The method of any of claims 4-7, further comprising: inputting the image data into an image processing model (122), the image processing model configured to process the image data and output a radiation parameter, wherein the radiation parameter is used to generate the calibration model.
  9. 9. The method of claim 8, wherein the radiation parameter comprises an air kerma value.
  10. 10. The method of any preceding claim, further comprising: receiving image data from the imaging device using the limited dynamic range.
  11. 11. The method of claim 10, further comprising: scaling the image data to Hounsfield (HU) values.
  12. 12. A system for calibrating an imaging device comprising: a first imaging device (112A) having a first dynamic range; a second imaging device (112B) having a second dynamic range, wherein the second dynamic range is lower than the first dynamic range; a processor (104); and a memory (106) storing data for processing by the processor, the data, when processed, causing the processor to: receive output data (204) from the first imaging device; generate a calibration model (120) using the output data; and apply the calibration model to the second imaging device, the calibration model configured to extrapolate calibration values (206) outside of the limited dynamic range.
  13. 13. The system of claim 12, wherein the output data is determined from image data obtained from the first imaging device.
  14. 14. The system of claim 13, wherein the image data is free of objects and anatomical elements.
  15. 15. The system of claims 13 or 14, wherein the memory stores further data for processing by the processor that, when processed, causes the processor to: input the image data into an image processing model (122), the image processing model configured to process the image data and output a radiation parameter, wherein the radiation parameter is used by the calibration model to determine the calibration values.

Description

SYSTEMS AND METHODS FOR CALIBRATING AN IMAGING DEVICE BACKGROUND [0001] The present disclosure is generally directed to calibration, and relates more particularly to calibrating an imaging device. [0002] Surgical robots may assist a surgeon or other medical provider in carrying out a surgical procedure, or may complete one or more surgical procedures autonomously. Imaging may be used by a medical provider for diagnostic and/or therapeutic purposes. Patient anatomy can change over time, particularly following placement of a medical implant in the patient anatomy. BRIEF SUMMARY [0003] Example aspects of the present disclosure include: [0004] A method for calibrating an imaging device according to at least one embodiment of the present disclosure comprises receiving output data; generating a calibration model using the output data, the calibration model configured to extrapolate calibration values; and applying the calibration model to an imaging device having a limited dynamic range, the calibration model configured to extrapolate calibration values outside of the limited dynamic range. [0005] Any of the aspects herein, wherein the output data is received from a dosimeter configured to output a radiation parameter, wherein the radiation parameter is used by the calibration model to determine the calibration values. [0006] Any of the aspects herein, wherein the radiation parameter comprises an air kerma value. [0007] Any of the aspects herein, wherein the output data is determined from image data from at least one of the imaging device or another imaging device. [0008] Any of the aspects herein, wherein when the image data is received from the imaging device, the image data is received when the imaging device is using a high dynamic range. [0009] Any of the aspects herein, wherein the image data is received from the another imaging device using a high dynamic range. [0010] Any of the aspects herein, wherein the image data comprises x-ray image data. [0011] Any of the aspects herein, further comprising: inputting the image data into an image processing model, the image processing model configured to process the image data and output a radiation parameter, wherein the radiation parameter is used to generate the calibration model. [0012] Any of the aspects herein, wherein the radiation parameter comprises an air kerma value. [0013] Any of the aspects herein, further comprising: receiving image data from the imaging device using the limited dynamic range. [0014] Any of the aspects herein, further comprising: scaling the image data to Hounsfield (HU) values. [0015] A system for calibrating an imaging device according to at least one embodiment of the present disclosure comprises a first imaging device having a first dynamic range; a second imaging device having a second dynamic range, wherein the second dynamic range is lower than the first dynamic range; a processor; and a memory storing data for processing by the processor, the data, when processed, causing the processor to: receive output data from the first imaging device; generate a calibration model using the output data; and apply the calibration model to the second imaging device, the calibration model configured to extrapolate calibration values outside of the limited dynamic range. [0016] Any of the aspects herein, wherein the output data is determined from image data obtained from the first imaging device. [0017] Any of the aspects herein, wherein the image data is free of objects and anatomical elements. [0018] Any of the aspects herein, wherein the memory stores further data for processing by the processor that, when processed, causes the processor to: input the image data into an image processing model, the image processing model configured to process the image data and output a radiation parameter, wherein the radiation parameter is used by the calibration model to determine the calibration values. [0019] Any of the aspects herein, wherein the radiation parameter comprises an air kerma value. [0020] A system for calibrating an imaging device according to at least one embodiment of the present disclosure comprises an imaging device having a first dynamic range and a second dynamic range, wherein the second dynamic range is lower than the first dynamic range; a processor; and a memory storing data for processing by the processor, the data, when processed, causing the processor to: receive output data; generate the calibration model using the output data; and apply the calibration model to the imaging device, the calibration model configured to extrapolate calibration values outside of the limited dynamic range. [0021] Any of the aspects herein, wherein the memory stores further data for processing by the processor that, when processed, causes the processor to: receive image data from the imaging device using the second dynamic range. [0022] Any of the aspects herein, wherein the memory stores further data for processing by the processor that, when