ULTRASOUND SYSTEM AND METHOD TO AUTOMATICALLY IDENTIFY AND TREAT ADIPOSE TISSUE

• US 20100286519A1
• Filed: 05/11/2009
• Published: 11/11/2010
• Est. Priority Date: 05/11/2009
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: LEE, WARREN, LANDBERG DAVIS, CYNTHIA ELIZABETH, THOMENIUS, KAI ERIK, SMITH, LOWELL SCOTT, ARORA, DHIRAJ, FAN, YING, RIGBY, KENNETH WAYNE, HAZARD, CHRISTOPHER ROBERT
• Application Number:
  US12/463,822
• Publication Number:
  US 20100286519A1
• Time in Patent Office: Days
• US Class Current: 600/439
• CPC Class Codes: A61B 2090/378 using ultrasound
• CPC Class Codes: A61B 34/25 User interfaces for surgical systems
• 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 8/0833 involving detecting or locating foreign bodies or organic structures
• CPC Class Codes: A61B 8/0841 for locating instruments
• CPC Class Codes: A61B 8/0858 involving measuring tissue layers, e.g. skin, interfaces
• CPC Class Codes: A61B 8/14 Echo-tomography
• CPC Class Codes: A61B 8/4245 involving determining the position of the probe, e.g. with respect to an external reference frame or to the patient
• CPC Class Codes: A61B 8/4405 Device being mounted on a trolley
• CPC Class Codes: A61B 8/4411 Device being modular
• CPC Class Codes: A61B 8/4427 Device being portable or laptop-like
• CPC Class Codes: A61B 8/4455 Features of the external shape of the probe, e.g. ergonomic aspects
• CPC Class Codes: A61B 8/4483 characterised by features of the ultrasound transducer
• CPC Class Codes: A61B 8/461 Displaying means of special interest
• CPC Class Codes: A61B 8/467 characterised by special input means
• CPC Class Codes: A61B 8/469 for selection of a region of interest
• CPC Class Codes: A61B 8/483 involving the acquisition of a 3D volume of data
• CPC Class Codes: A61B 8/485 involving measuring strain or elastic properties
• CPC Class Codes: A61B 90/11 with guides for needles or instruments, e.g. arcuate slides or ball joints
• CPC Class Codes: A61N 2007/0008 Destruction of fat cells
• CPC Class Codes: A61N 7/02 : Localised ultrasound hyperthermia hyperthermia in general A61F7/00

Abstract

An ultrasound imaging and therapy system that includes an ultrasound probe and an ultrasound diagnostic module to control the probe to obtain diagnostic ultrasound signals from a region of interest (ROI). The ROI includes adipose tissue and non-adipose tissue. The diagnostic module analyzes the diagnostic ultrasound signals and automatically differentiates adipose tissue from non-adipose tissue. The system also includes an ultrasound therapy module to control the probe to deliver, during a therapy session, a therapy at a treatment location based on a therapy parameter to the adipose tissue differentiated by the ultrasound diagnostic module. A method for delivering therapy to a region of interest (ROI) in a patient is also provided.

Claims

1. An ultrasound imaging and therapy system, comprising:

an ultrasound probe;

an ultrasound diagnostic module to control the probe to obtain diagnostic ultrasound signals from a region of interest (ROI), the ROI including adipose tissue and non-adipose tissue, the diagnostic module analyzing the diagnostic ultrasound signals and automatically differentiating adipose tissue from non-adipose tissue; and

an ultrasound therapy module to control the probe to deliver, during a therapy session, a therapy at a treatment location based on a therapy parameter to the adipose tissue differentiated by the ultrasound diagnostic module.

2. The system in accordance with claim 1 wherein the diagnostic module differentiates the adipose tissue by identifying a barrier between the adipose and non-adipose tissue.

3. The system in accordance with claim 1 wherein the diagnostic module differentiates the adipose tissue by directly measuring a plurality of points within the ROI for an adipose characteristic.

4. The system in accordance with claim 3 wherein the adipose characteristic constitutes one of a measure of tissue stiffness, longitudinal or shear wave velocity, density, cavitation inducibility, thermal conductivity, and specific heat.

5. The system in accordance with claim 1 wherein the diagnostic module differentiates the adipose tissue based on one of elastography and B-mode analysis of the diagnostic ultrasound signals.

6. The system in accordance with claim 1 wherein the diagnostic module obtains a first set of diagnostic ultrasound signals during an initial scan before the therapy module begins to deliver the therapy to the ROI and obtains a second set of diagnostic ultrasound signals during a supplemental scan during the therapy session, the therapy module adjusting the therapy parameter based on the second set of diagnostic ultrasound signals.

7. The system in accordance with claim 1 wherein the diagnostic module automatically sets the therapy parameter based on the diagnostic ultrasound signal obtained by the diagnostic module.

8. The system in accordance with claim 7 wherein the therapy parameter represents at least one of a focal region depth, a focal region size, an ablation time for each point, an energy level of the therapy, and a rate of focal region movement within the ROI during the therapy session.

9. The system in accordance with claim 1 wherein the diagnostic module identifies a thickness of a layer of the adipose tissue and the therapy module adjusts the therapy parameter based on the thickness.

10. The system in accordance with claim 1 wherein the diagnostic module analyzes the diagnostic ultrasound signals to confirm a location of the adipose tissue prior to delivering the therapy.

11. The system in accordance with claim 1 wherein the diagnostic module analyzes the diagnostic ultrasound signals to confirm the treatment of the treatment location.

12. A method for delivering therapy to a region of interest (ROI) in a patient, the method comprising:

obtaining diagnostic ultrasound signals from a region of interest (ROI), the ROI including adipose tissue and non-adipose tissue;

analyzing the diagnostic ultrasound signals and automatically differentiating adipose tissue from non-adipose tissue; and

delivering therapy, during a therapy session, at a treatment location based on a therapy parameter to the adipose tissue differentiated by the ultrasound diagnostic module.

13. The method in accordance with claim 12 wherein the automatically differentiating includes identifying a barrier between the adipose and non-adipose tissue.

14. The method in accordance with claim 12 wherein the automatically differentiating includes directly measuring a plurality of points within the ROI for an adipose characteristic.

15. The method in accordance with claim 14 wherein the adipose characteristic constitutes one of, a measure of tissue stiffness, longitudinal or shear wave velocity, density, cavitation inducibility, thermal conductivity and specific heat

16. The method in accordance with claim 12 wherein the automatically differentiating includes using one of elastography and B-mode analysis of the diagnostic ultrasound signals to automatically differentiate the adipose tissue from the non-adipose tissue.

17. The method in accordance with claim 12 wherein the obtaining diagnostic ultrasound signals from the ROI includes obtaining a first set of diagnostic ultrasound signals during an initial scan before delivering the therapy to the ROI and obtaining a second set of diagnostic ultrasound signals during a supplemental scan during the therapy session, the method further comprising adjusting the therapy parameter based on the second set of diagnostic ultrasound signals.

18. The method in accordance with claim 12 further comprising automatically setting the therapy parameter based on the diagnostic ultrasound signals obtained.

19. The method in accordance with claim 18 wherein the therapy parameter represents at least one of a focal region depth, a focal region size, an ablation time for each point, an energy level of the therapy, and a rate of focal region movement within the ROI during the therapy session.

20. The method in accordance with claim 12 further comprising identifying a thickness of a layer of the adipose tissue and adjusting the therapy parameter based on the thickness.

21. The method in accordance with claim 12 further comprising analyzing the diagnostic ultrasound signals to confirm a location of the adipose tissue prior to delivering the therapy.

22. The method in accordance with claim 12 further comprising analyzing the diagnostic ultrasound signals to confirm the treatment of the treatment location.