System and method for lung visualization using ultrasound

• US 10,098,566 B2
• Filed: 08/27/2014
• Issued: 10/16/2018
• Est. Priority Date: 09/06/2013
• Status: Active Grant

• Current Assignee: Covidien LP (Medtronic Plc)
• Original Assignee: Covidien LP (Medtronic Plc)
• Inventors: Brannan, Joseph D., Dickhans, William J., Ladtkow, Casey M., Peterson, Darion R.
• Primary Examiner(s): Turchen, Rochelle
• Assistant Examiner(s): HOFFMAN, JOANNE M
• Application Number:
  US14/469,728
• Publication Number:
  US 20150073267A1
• Time in Patent Office: 1,511 Days
• CPC Class Codes: A61B 1/267 for the respiratory tract, e.g. laryngoscopes, bronchoscopes
• CPC Class Codes: A61B 5/062 using magnetic field
• CPC Class Codes: A61B 5/113 occurring during breathing
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts
• CPC Class Codes: A61B 8/08 Detecting organic movements or changes, e.g. tumours, cysts, swellings A61B8/02 - A61B8/06 take precedence
• CPC Class Codes: A61B 8/12 in body cavities or body tracts, e.g. by using catheters catheters per se A61M25/00
• CPC Class Codes: A61B 8/4254 using sensors mounted on the probe
• CPC Class Codes: A61B 8/463 characterised by displaying multiple images or images and diagnostic data on one display composite display in devices for short-range imaging with acoustic waves G01S7/52074
• CPC Class Codes: A61B 8/467 characterised by special input means
• CPC Class Codes: A61B 8/5238 for combining image data of patient, e.g. merging several images from different acquisition modes into one image for image registration algorithms G06T7/30
• CPC Class Codes: A61B 8/5261 combining images from different diagnostic modalities, e.g. ultrasound and X-ray

Abstract

A system for ultrasound interrogation of a lung including a memory, an electromagnetic (EM) board, an extended working channel (EWC), an EM sensor, a US transducer, and a processor. The memory stores a three dimensional (3D) model and pathway plan for navigating a luminal network. The EM board generates an EM field. The EWC is configured to navigate the luminal network toward a target following the pathway plan. The EM sensor extends distally from a distal end of the EWC and is configured to sense the EM field. The US transducer extends distally from a distal end of the EWC, generates US waves, and receives US waves reflected from the luminal network. The processor processes the sensed EM field to synchronize a location of the EM sensor in the 3D model, to process the reflected US waves to generate images, or to integrate the generated images with the 3D model.

Claims

1. A method for ultrasound (US) interrogation comprising:

importing a three dimensional (3D) model of a luminal network and a pathway plan illustrating a pathway toward a target in the luminal network of the 3D model into a navigation system, wherein the 3D model is made of a plurality of two dimensional (2D) images, which are from computed tomography scanning, magnetic resonance imaging (MRI), fluoroscopic imaging, or X-ray imaging;

generating an electromagnetic (EM) field about a luminal network;

inserting, by following the pathway plan, a first catheter, through which a second catheter is extended, to navigate the luminal network, wherein an EM sensor is positioned at a distal portion of one of the first catheter and the second catheter, and a US transducer is positioned at a distal portion of the other one of the first catheter and the second catheter;

sensing, at the EM sensor, the EM field;

synchronizing a location of the EM sensor in the EM field with the 3D model;

transmitting, at the US transducer, US waves;

receiving, at the US transducer, reflected US waves;

processing the reflected US waves to generate US images;

integrating the generated US images with the 3D model by replacing at least one of the plurality 2D images of the 3D model at a location of the US transducer, which corresponds to a location of the EM sensor, with the generated US images to create an intra-procedural 3D model; and

predicting based on the US images a type, density, disease state, or sufficiency of treatment of tissue reflecting the US waves.

2. The method according to claim 1, further comprising calculating a scale factor between a coordinate system of the EM field and a coordinate system of the 3D model.

3. The method according to claim 2, further comprising scaling a traveled distance of the EM sensor to synchronize movement of the EM sensor in the 3D model based on the pathway plan and the scale factor.

4. The method according to claim 1, further comprising displaying the integrated 3D model based on the location of the EM sensor.

5. The method according to claim 1, wherein a resolution of the generated US images is finer than a resolution of the 3D model.

6. The method according to claim 1, wherein the generated US images show tissue outside of the luminal network.

7. The method according to claim 1, further comprising calculating a distance between the location of the EM sensor and the location of the US transducer.

8. The method according to claim 7, wherein integrating the US generated images with the 3D model is based on the calculated distance.

9. The method according to claim 1, further comprising displaying a status related to the location of the EM sensor.

10. The method according to claim 9, wherein the status indicates whether the EM sensor is located at a not-in-target location, the target, or a location adjacent to healthy tissue.

11. The method according to claim 9, wherein the status indicates whether treatment of the target is complete.

12. The method according to claim 1, further comprising determining whether a size of the target after treatment is less than or equal to a predetermined size.

13. The method according to claim 12, further comprising displaying a notice notifying the sufficiency of treatment of the target based on a determination of the size of the target after treatment.

14. The method according to claim 1, further comprising identifying a new target while following the pathway plan toward the target based on the reflected US waves.

15. The method according to claim 14, further comprising registering the new target to the 3D model.

16. The method according to claim 14, further comprising adding the new target to the pathway plan.

17. The method according to claim 1, further comprising recognizing a breathing pattern of a patient.

18. The method according to claim 17, further comprising identifying the location of the EM sensor by compensating for patient'"'"'s breathing according to the breathing pattern.