Cone beam and 3D fluoroscope lung navigation

Patent metadata

Field	Value
Publication number	US-12089902-B2
Application number	US-202016909721-A
Country	US
Kind code	B2
Filing date	Jun 23, 2020
Priority date	Jul 30, 2019
Publication date	Sep 17, 2024
Grant date	Sep 17, 2024

Abstract

A method and system for reducing divergence between computed tomography images and a patient using three-dimensional reconstructions. The method utilizes cone beam imaging or three-dimensional fluoroscopy to supplement or supplant pre-operative computed tomography imaging.

First claim

What is claimed is:

1. A method of registering an image to a luminal network comprising:
detecting a position of a catheter-based sensor within a luminal network;
receiving cone-beam computed tomography (CBCT) images of the luminal network with the sensor within the luminal network;
presenting a CBCT image on a user interface;
receiving an indication of a location of a target in the presented CBCT image;
generating a 3D model of the luminal network from the CBCT images;
generating a pathway through the luminal network from the detected position of the sensor to the target in the CBCT images and the 3D model; and
comparing a detected position of the catheter-based sensor in the luminal network prior to receiving the CBCT images to a detected position of the catheter-based sensor in the luminal network after receiving the CBCT images, wherein when it is determined that the detected position of the catheter-based sensor prior to the receipt of the CBCT images is substantially the same as the detected position of the catheter-based sensor after receipt of the CBCT images, the luminal network, the CBCT images, and the 3D model are registered.

2. The method of claim 1 , further comprising receiving survey data from the catheter-based sensor when it is determined that the detected position of the sensor after receipt of the CBCT images is different from the detected position of the sensor prior to receipt of the CBCT images.

3. The method of claim 2 , further comprising registering the luminal network to the CBCT images based on survey data.

4. The method of claim 1 , further comprising displaying the pathway in the CBCT images, the 3D model generated from the CBCT images, or a virtual bronchoscopy view of the 3D model from the CBCT images.

5. The method of claim 4 further comprising displaying the position of the sensor along the pathway in the user interface.

6. A method of registering an image to a luminal network comprising:
receiving a pre-operative computed tomography (CT) image of the luminal network;
receiving an indication of a target within the luminal network in the CT image;
generating a pathway through the luminal network to the target;
receiving cone-beam computed tomography (CBCT) images of the luminal network;
detecting a location of a catheter-based sensor within the luminal network;
generating a 3D model of the luminal network from the CBCT images;
transforming coordinates of the pre-operative CT image to coordinates of the CBCT images to register the pre-operative CT image to the CBCT images;
matching features from the CT images to features of the CBCT images and 3D model derived from the CBCT images; and
displaying the pathway from the detected location of the catheter-based sensor to the target in the CBCT images or 3D model.

7. The method of claim 6 , further comprising displaying, the 3D model derived from the CBCT images, or a virtual bronchoscopy view of the 3D model from the CBCT images on a user interface.

8. The method of claim 6 further comprising generating the 3D model from the CBCT image before transforming the pre-operative CT coordinates and the CBCT coordinates.

9. The method of claim 6 , further comprising:
transferring the target from the pre-operative CT image to the CBCT images; and
generating the 3D model from the CBCT images after transferring the target and pathway from the pre-operative CT image to the CBCT images.

10. The method of claim 6 , further comprising receiving survey data, wherein the survey data is received prior to receipt of the CBCT images or the survey data is received after transfer of the target and pathway to the CBCT images from the pre-operative CT image to register the CBCT images to the luminal network.

Assignees

• Covidien Lp
• Coviden Lp

Inventors

• Alexandroni Guy
• Weingarten Oren P
• Kopel Evgeni
• Birenbaum Ariel

Classifications

• G06T7/30

  Determination of transform parameters for the alignment of images, i.e. image registration · CPC title

• A61B6/541

  involving acquisition triggered by a physiological signal · CPC title

• A61B2090/376

  using X-rays, e.g. fluoroscopy · CPC title

• A61B34/10

  Computer-aided planning, simulation or modelling of surgical operations · CPC title

• A61B6/032

  Transmission computed tomography [CT] · CPC title