Method, system and apparatus for quantitative surgical image registration

Patent metadata

Field	Value
Publication number	US-9799114-B2
Application number	US-201415514111-A
Country	US
Kind code	B2
Filing date	Nov 27, 2014
Priority date	Nov 27, 2014
Publication date	Oct 24, 2017
Grant date	Oct 24, 2017

Abstract

A method in a computing device for quantitative surgical image registration includes: prior to a surgical procedure, obtaining, using a first imaging modality, a preoperative image of patient tissue and a plurality of preoperative measurements of a material property of the patient tissue. The preoperative measurements correspond to respective points in the preoperative image. The method includes storing the preoperative image and the preoperative measurements, and during the surgical procedure, using a second imaging modality, capturing an intraoperative image of the patient tissue and a second plurality of intraoperative measurements of the material property of the patient tissue. The intraoperative measurements correspond to respective points in the intraoperative image. The method includes comparing the first and second pluralities of measurements to determine a transformation for registering the preoperative image and the intraoperative image; and storing the transformation in association with one of the intraoperative image and the preoperative image.

First claim

We claim:

1. A method of image registration, comprising:
prior to a surgical procedure, obtaining a preoperative image of patient issue at a computing device using a first imaging modality;
using the first imaging modality, obtaining a first plurality of preoperative measurements of a material property of the patient tissue at the computing device, each measurement of the first plurality of preoperative measurements corresponding to a respective point in the preoperative image;
storing the preoperative image and the preoperative measurements in a memory of the computing device;
during the surgical procedure, obtaining an intraoperative image of the patient tissue at the computing device using a second imaging modality;
using the second imaging modality, obtaining a second plurality of intraoperative measurements of the material property of the patient tissue at the computing device, each measurement of the second plurality of intraoperative measurements corresponding to a respective point in the intraoperative image;
comparing the first and second pluralities of measurements at the computing device to determine a transformation for registering the preoperative image and the intraoperative image;
storing the transformation in the memory in association with one of the intraoperative image and the preoperative image;
applying the transformation to the intraoperative image; and
controlling a display connected to the computing device to present the preoperative image overlaid with the intraoperative image.

2. The method of claim 1 , wherein obtaining the preoperative measurements comprises deriving the preoperative measurements from the preoperative image; and wherein obtaining the intraoperative measurements comprises deriving the intraoperative measurements from the intraoperative image.

3. The method of claim 1 , wherein the first imaging modality and the second imaging modality are selected from magnetic resonance imaging (MRI), computed tomography (CT), ultrasound, optical coherence tomography (OCT), and optical spectroscopy.

4. The method of claim 3 , wherein one of the first imaging modality and the second imaging modality is OCT, and wherein the corresponding one of the first and second pluralities of measurements are obtained using polarization-sensitive OCT (PS-OCT).

5. The method of claim 3 , wherein one of the first imaging modality and the second imaging modality is optical spectroscopy, and wherein the corresponding one of the first and second pluralities of measurements are obtained using Raman spectroscopy.

6. The method of claim 1 , wherein the first and second pluralities of measurements of the material property are selected from a list consisting of flow, stiffness, anisotropy, and metabolite concentration.

7. The method of claim 1 , wherein the first imaging modality is different from the second imaging modality.

8. The method of claim 1 , wherein the preoperative image is registered to the patient tissue; the method further comprising:
determining a second transformation for registering the intraoperative image to the patient tissue independently of the preoperative image; and
determining whether a mismatch exists between the transformation and the second transformation.

9. The method of claim 8 , further comprising:
when a mismatch does exist, updating the registration of the preoperative image to the patient tissue.

10. The method of claim 1 , further comprising:
retrieving a preoperative model of the material property within the patient tissue;
applying the transformation to the intraoperative image;
comparing the preoperative model with the intraoperative image; and
updating the model from the intraoperative measurements.

11. A computing device, comprising:
a memory;
a display;
a processor interconnected with the memory and the display, the processor configured to:
prior to a surgical procedure, obtain a preoperative image of patient tissue using a first imaging modality;
using the first imaging modality, obtain a first plurality of preoperative measurements of a material property of the patient tissue at the computing device, each measurement of the first plurality of preoperative measurements corresponding to a respective point in the preoperative image;
store the preoperative image and the preoperative measurements in the memory;
during the surgical procedure, obtain an intraoperative image of the patient tissue using a second imaging modality;
using the second imaging modality, obtain a second plurality of intraoperative measurements of the material property of the patient tissue, each measurement of the second plurality of intraoperative measurements corresponding to a respective point in the intraoperative image;
compare the first and second pluralities of measurements to determine a transformation for registering the preoperative image and the intraoperative image;
store the transformation in the memory in association with one of the intraoperative image and the preoperative image;
apply the transformation to the intraoperative image; and
control the display to present the preoperative image overlaid with the intraoperative image.

12. The computing device of claim 11 , the processor configured to obtain the preoperative measurements by deriving the preoperative measurements from the preoperative image; and to obtain the intraoperative measurements by deriving the intraoperative measurements from the intraoperative image.

13. The computing device of claim 11 , wherein the first imaging modality and the second imaging modality are selected from magnetic resonance imaging (MRI), computed tomography (CT), ultrasound, optical coherence tomography (OCT), and optical spectroscopy.

14. The computing device of claim 13 , wherein one of the first imaging modality and the second imaging modality is OCT, and wherein the corresponding one of the first and second pluralities of measurements are obtained using polarization-sensitive OCT (PS-OCT).

15. The method of claim 13 , wherein one of the first imaging modality and the second imaging modality is optical spectroscopy, and wherein the corresponding one of the first and second pluralities of measurements are obtained using Raman spectroscopy.

16. The method of claim 11 , wherein the first and second pluralities of measurements of the material property are selected from a list consisting of flow, stiffness, anisotropy, and metabolite concentration.

17. The computing device of claim 11 , wherein the first imaging modality is different from the second imaging modality.

18. The computing device of claim 11 , wherein the preoperative image is registered to the patient tissue; the processor further configured to:
determine a second transformation for registering the intraoperative image to the patient tissue independently of the preoperative image; and
determine whether a mismatch exists between the transformation and the second transformation.

19. The computing device of claim 18 , the processor further configured to:
when a mismatch does exist, update the registration of the preoperative image to the patient tissue.

20. The computing device of claim 11 , the processor further configured to:
retrieve a preoperative model of the material property within the patient issue from the memory;
apply the transformation to the intraoperative image;
compare the preoperative model with the intraoperative image; and
update the model from the intraoperative measurements.

Assignees

• Piron Cameron Anthony
• Yuwaraj Murugathas
• Synaptive Medical Barbados Inc

Inventors

• Piron Cameron Anthony
• Yuwaraj Murugathas

Classifications

• G09B23/30

  Anatomical models {(G09B23/281 - G09B23/288 take precedence)} · CPC title

• G06T2207/30101

  Blood vessel; Artery; Vein; Vascular · CPC title

• G06T2207/30016

  Brain · CPC title

• G06T2207/10101

  Optical tomography; Optical coherence tomography [OCT] · CPC title

• G06T2207/10081

  Computed x-ray tomography [CT] · CPC title