IP Library › Granted Patent US 12,209,891
Granted Patent B2
US 12,209,891 · App. 18/409,081 · Granted Jan 28, 2025

Method and apparatus for real time respiratory gating signal generation and detection of body deformation using embedded fiber bragg gratings

Inventor: Manojeet Bhattacharya (Edina, MN)
Assignee: EmpNia Inc.
G01D5/35316A41D13/1281A61B5/6804G01D5/35335G01D5/35367G01L1/246G02B6/022
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,209,891
App. No.
18/409,081
Filed
Jan 10, 2024
Granted
Jan 28, 2025
Kind
B2
Art Unit
2874
USPC
385/13
Abstract

A method and system of compensating for body deformation during image acquisition or external beam treatment includes acquiring image data of a body and peak wavelength data from a plurality of fiber Bragg gratings (FBGs) disposed on the body aligned along a predetermined coordinate system on the body, such as a cartesian coordinate system. The method further comprises detecting effective shifts of the Bragg wavelengths of the FBGs caused by body deformation during image acquisition, and controlling the movement of the body through a cavity in a scanning device and controlling the acquisition of the image data or external beam treatment during body deformation based on the effective shifts of the Bragg wavelengths of the FBGs.

Claims (63)

1. A method of compensating for body deformation during image acquisition, the method comprising:

acquiring wavelength data from at least one fiber Bragg grating (FBG) device disposed on a body;

detecting effective shifts of Bragg wavelengths in the wavelength data caused at least in part by body deformation during image acquisition; and

controlling a scanning device, based at least in part on the effective shifts of the Bragg wavelengths in the wavelength data, to acquire image data.

2. The method of claim 1 , wherein the controlling the scanning device includes controlling the scanning device to acquire image data while compensating for body deformation.

3. The method of claim 1 , wherein the controlling the scanning device includes controlling the scanning device such that image data is not acquired during body deformation.

4. The method of claim 1 , further comprising:

controlling movement of the body relative to the scanning device based at least in part on the effective shifts of the Bragg wavelengths in the wavelength data, the controlling including preventing movement of the body during body deformation.

5. The method of claim 1 , further comprising:

identifying an object within the body; and

estimating movement of the object by correlating the acquired image data with the effective shifts of the Bragg wavelengths in the wavelength data.

6. The method of claim 1 , further comprising:

reconstructing the image data based at least in part on the effective shifts of the Bragg wavelengths in the wavelength data to compensate for body deformation during the image acquisition.

7. The method of claim 1 , wherein the acquiring wavelength data includes acquiring wavelength data from a plurality of FBG devices disposed on the body and aligned along a predetermined coordinate system.

8. The method of claim 7 , wherein the effective shifts of the Bragg wavelengths for the plurality of FBGs measure strain along at least one axis of the predetermined coordinate system.

9. A method of compensating for body deformation during image acquisition, the method comprising:

acquiring wavelength data from at least one fiber Bragg grating (FBG) device disposed on a body;

detecting effective shifts of Bragg wavelengths in the wavelength data caused at least in part by body deformation; and

controlling a scanning device, based at least in part on the effective shifts of the Bragg wavelengths, to acquire image data while compensating for the body deformation.

10. The method of claim 9 , further comprising:

generating a respiratory gating signal based on the effective shifts of the Bragg wavelengths measured over time, and

wherein the controlling the scanning device includes controlling the scanning device, based at least in part on the respiratory gating signal, such that image data is not acquired during body deformation.

11. The method of claim 10 , further comprising:

controlling movement of the body relative to the scanning device based at least in part on the respiratory gating signal such that movement of the body is prevented during body deformation.

12. The method of claim 9 , further comprising:

identifying a target region within the body; and

estimating movement of the target region by correlating the acquired image data with the effective shifts of the Bragg wavelengths in the wavelength data.

13. The method of claim 9 , wherein the acquiring wavelength data includes acquiring wavelength data from a plurality of FBG devices disposed on the body and aligned along a predetermined coordinate system.

14. The method of claim 13 , wherein the effective shifts of the Bragg wavelengths for the plurality of FBGs measure strain along at least one axis of the predetermined coordinate system.

15. A method of compensating for body deformation during an external beam treatment, the method comprising:

acquiring wavelength data from at least one fiber Bragg grating (FBG) device disposed on a body;

detecting effective shifts of Bragg wavelengths in the wavelength data caused at least in part by body deformation; and

controlling the external beam treatment to compensate for the body deformation based on the effective shifts of the Bragg wavelengths, thereby maintaining focus on a target region of the body.

16. The method of claim 15 , wherein the acquiring wavelength data includes acquiring wavelength data from a plurality of FBG devices disposed on the body and aligned along a predetermined coordinate system.

17. The method of claim 16 , wherein the effective shifts of the Bragg wavelengths for the plurality of FBGs measure strain along at least one axis of the predetermined coordinate system.

18. The method of claim 15 , wherein the external beam treatment is external beam radiotherapy or proton beam therapy.

19. The method of claim 15 , further comprising:

generating a respiratory gating signal based on the effective shifts of the Bragg wavelengths measured over time, and

wherein the controlling the external beam treatment includes controlling the external beam treatment, based at least in part on the respiratory gating signal, such that treatment is not directed to the target region during body deformation.

20. The method of claim 15 , further comprising:

controlling a scanning device, based at least in part on the effective shifts of the Bragg wavelengths, to acquire image data of the target region while compensating for the body deformation.

21. The method of claim 20 , further comprising:

identifying, within the target region, an object for the external beam treatment; and

estimating movement of the object by correlating the acquired image data with the effective shifts of the Bragg wavelengths in the wavelength data.

22. The method of claim 21 , further comprising:

directing the external beam treatment to the object based at least in part on the estimated movement.

23. The method of claim 21 , wherein the object is one of an internal organ or a tumor.

24. A method of compensating for body deformation during an external beam treatment, the method comprising:

acquiring wavelength data from at least one fiber Bragg gratings (FBG) device disposed on a body;

detecting effective shifts of Bragg wavelengths in the wavelength data caused at least in part by body deformation;

controlling a scanning device, based at least in part on the effective shifts of the Bragg wavelengths, to acquire image data of a target region while compensating for the body deformation; and

controlling the external beam treatment to maintain focus on the target region based on the acquired image data.

25. The method of claim 24 , wherein the effective shifts of the Bragg wavelengths measure strain along at least one axis of a predetermined coordinate system.

26. The method of claim 24 , further comprising:

generating a respiratory gating signal based on the effective shifts of the Bragg wavelengths measured over time, and

wherein the controlling the external beam treatment includes controlling the external beam treatment, based at least in part on the respiratory gating signal, such that treatment is not directed to the target region during body deformation.

27. The method of claim 24 , further comprising:

identifying, within the target region, an object for receiving the external beam treatment; and

estimating movement of the object by correlating the acquired image data with the effective shifts of the Bragg wavelengths in the wavelength data.

28. The method of claim 27 , further comprising:

directing the external beam treatment to the object based at least in part on the estimated movement.

29. The method of claim 28 , wherein the object is one of an internal organ or a tumor.

30. The method of claim 29 , wherein the external beam treatment is external beam radiotherapy or proton beam therapy.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 2, 2024
From: BHATTACHARYA, MANOJEET
To: EMPNIA INC.
Reel/Frame 069452/0863 →
Continuity (4)
Continuation 17224855 · Apr 7, 2021
Continuation In Part PCTUS2020065691 · Dec 17, 2020
Continuation In Part 16723352 · Dec 20, 2019
Related Publication 20240210218A1 · Jun 27, 2024
References Cited (92)
US 4868381A · Davis · 1989 [cited by applicant]
US 4909260A · Salem et al. · 1990 [cited by applicant]
US 5545993A · Taguchi et al. · 1996 [cited by applicant]
US 5907403A · Andrews et al. · 1999 [cited by applicant]
US 6475153B1 · Khair et al. · 2002 [cited by applicant]
US 7077810B2 · Lange et al. · 2006 [cited by applicant]
US 7257436B2 · Sasaki et al. · 2007 [cited by applicant]
US 7678063B2 · Felmlee et al. · 2010 [cited by applicant]
US 8553959B2 · Hsieh et al. · 2013 [cited by applicant]
US 8655441B2 · Fletcher et al. · 2014 [cited by applicant]
US 9088130B2 · Kim et al. · 2015 [cited by applicant]
US 9116055B2 · Johnston · 2015 [cited by applicant]
US 9304018B2 · Davis et al. · 2016 [cited by applicant]
US 9730654B2 · Erbel et al. · 2017 [cited by applicant]
US 9841331B2 · Wood et al. · 2017 [cited by applicant]
US 9987503B2 · Grass et al. · 2018 [cited by applicant]
US 10234934B2 · Connor · 2019 [cited by applicant]
US 10321873B2 · Connor · 2019 [cited by applicant]
US 10332644B2 · Garcia · 2019 [cited by applicant]
US 10488916B2 · Hahami et al. · 2019 [cited by applicant]
US 10524701B2 · Kim et al. · 2020 [cited by applicant]
US 10716510B2 · Connor · 2020 [cited by applicant]
US 11041740B1 · Bhattacharya · 2021 [cited by applicant]
US 11504010B2 · Bhattacharya · 2022 [cited by applicant]
US 20080045813A1 · Phuah et al. · 2008 [cited by applicant]
US 20080146947A1 · Kojima et al. · 2008 [cited by applicant]
US 20090185772A1 · Xia et al. · 2009 [cited by applicant]
US 20090234240A1 · Kuenzler et al. · 2009 [cited by applicant]
US 20130035587A1 · Lagendijk et al. · 2013 [cited by applicant]
US 20130211261A1 · Wang et al. · 2013 [cited by applicant]
US 20140064332A1 · Johnston · 2014 [cited by applicant]
US 20140088377A1 · Manzke et al. · 2014 [cited by applicant]
US 20140128721A1 · Forthmann · 2014 [cited by examiner]
US 20140238153A1 · Wood et al. · 2014 [cited by applicant]
US 20140268099A1 · Moslehi · 2014 [cited by applicant]
US 20150124266A1 · Davis et al. · 2015 [cited by applicant]
US 20150359455A1 · Hahami et al. · 2015 [cited by applicant]
US 20150359467A1 · Tran · 2015 [cited by applicant]
US 20160202755A1 · Connor · 2016 [cited by applicant]
US 20160256710A1 · Goldstein et al. · 2016 [cited by applicant]
US 20160338644A1 · Connor · 2016 [cited by applicant]
US 20160361194A1 · Hautvast et al. · 2016 [cited by applicant]
US 20170007849A1 · Hautvast et al. · 2017 [cited by applicant]
US 20170049341A1 · Karabacak et al. · 2017 [cited by applicant]
US 20170354353A1 · Kim et al. · 2017 [cited by applicant]
US 20180008196A1 · Connor · 2018 [cited by applicant]
US 20180364115A1 · Brown et al. · 2018 [cited by applicant]
US 20190298265A1 · Keating et al. · 2019 [cited by applicant]
US 20190336038A1 · Gorgutsa et al. · 2019 [cited by applicant]
US 20210186340A1 · Bhattacharya · 2021 [cited by applicant]
US 20210190549A1 · Bhattacharya · 2021 [cited by applicant]
US 20210223068A1 · Bhattacharya · 2021 [cited by applicant]
US 20230070912A1 · Bhattacharya · 2023 [cited by applicant]
US 20240032816A1 · Bhattacharya · 2024 [cited by applicant]
CN 111317481A · 2020 [cited by applicant]
JP H0775627A · 1995 [cited by applicant]
JP 2014525764A · 2014 [cited by applicant]
JP 2015231512A · 2015 [cited by applicant]
JP 2017506543A · 2017 [cited by applicant]
JP 2017506555A · 2017 [cited by applicant]
JP 2017519221A · 2017 [cited by applicant]
WO WO2012053654A1 · 2012 [cited by applicant]
WO WO2012168836A2 · 2012 [cited by applicant]
WO WO2013180085A1 · 2013 [cited by applicant]
WO WO2015128179A1 · 2015 [cited by applicant]
WO WO2015128392A1 · 2015 [cited by applicant]
WO WO2015167340A1 · 2015 [cited by applicant]
WO WO2016147795A1 · 2016 [cited by applicant]
WO WO2017037479A1 · 2017 [cited by applicant]
WO WO2017190085A1 · 2017 [cited by applicant]
WO WO2019031041A1 · 2019 [cited by applicant]
WO WO2021127207A1 · 2021 [cited by applicant]
WO WO2021127233A1 · 2021 [cited by applicant]
WO WO2022020519A1 · 2022 [cited by applicant]
ZA 200508066B · 2007 [cited by applicant]
Davies, Justine et al., “Beyond Blood Pressure: Pulse Wave Analysis—a Better Way of Assessing Cardiovascular Risk?” Future Cardiology, pp. 69-78, (2005). [cited by applicant]
Esper, Stephen A. et al., “Arterial Waveform Analysis,” Best Practice & Research Clinical Anaesthesiology 28 pp. 363-380, (2014). [cited by applicant]
Katsuragawa Yui, et al., “Non-invasive Blood Pressure Measurement by Pulse Wave Analysis Using FBG Sensor,” 2015 IEEE International Instrumentation and Measurement Technology Conference (12MTC) Proceedings, IEEE, May 11… [cited by applicant]
Khan, Yasser et al., “A Flexible Organic Reflectance Oximeter Array”, Proceedings of the National Academy of Sciences 115 (47), pp. E11015-E11024; Washington, DC, Nov. 2018. [cited by applicant]
Lee, Hooseok et al, “Reflectance Pulse Oximetry: Practical Issues and Limitation,” The Korean Institute of Communications and Information Services, ScienceDirect, 195-198 Nov. 2016. [cited by applicant]
Niekic, Paula “Pulse Contour Cardiac Output (PICCO) Learning Package,” Liverpool Hospital Intensive Care Unit, Feb. 29, 2016, 17 pages. [cited by applicant]
Anzai Medical, Co., Ltd, “Respiratory Gating System AZ-733V1: What is a Respiratory Gating System,” http://www.anzai-med.co.jp, No. date given, 4 pages. [cited by applicant]
International Search Report and Written Opinion for International Application No. PCT/US2020/065691, mailed Jun. 1, 2021, 25 pages. [cited by applicant]
Lau, Doreen et al. “Intensity-Modulated Microbend Fiber Optic Sensor for Respiratory Monioring and Gating During MRI,”IEEE Transactions on Biomedical Engineering, vol. 60, No. 9, Sep. 2013, pp. 2655-2662. [cited by applicant]
Lui, Jie et al, “Evaluation of the combined use of two different respiratory monitoring systems for 4D CT simulation and gated treatment,” Journal of Applied Clinical Medical Physics, Wiley 19:5 pp. 666-675, (2018). [cited by applicant]
Non-Final Office Action for U.S. Appl. No. 16/723,352 mailed on Nov. 24, 2020, 9 pages. [cited by applicant]
Office Action for Japanese Application No. JP20220538314 with English translation, dated May 1, 2023, 8 pages. [cited by applicant]
Office Action for Japanese Application No. JP20220538314 with English translation, dated Nov. 7, 2023, 10 pages. [cited by applicant]
PCT Invitation to Pay Additional Fees for PCT Application No. PCT/US2020/065691, entitled “Method and Apparatus br Real Time Respiratory Gating Signal Generation and Detection of Body Deformation Using Embedded Fiber Br… [cited by applicant]
Roylance, David, “Stress-Strain Curves, Department of Materials Science and Engineering,” Massachusetts Institute of Technology, Cambridge, MA, Aug. 23, 2001, 14 pages. [cited by applicant]
De Jonckheere, J., et al.; “Ofseth: A breathing motions monitoring system for patients under MRI,” 32nd Annual International Conference of the IEEE EMBS, 2010, 1016-1019. [cited by applicant]
Office Action for Japanese Application No. 2023-130280, mailed Sep. 17, 2024, with English translation, 9 pages. [cited by applicant]
Cited By (2)
US 12,516,964 US 12,605,078