Methods and apparatuses for planning, performing, monitoring and assessing thermal ablation

• US 8,155,416 B2
• Filed: 02/04/2008
• Issued: 04/10/2012
• Est. Priority Date: 02/04/2008
• Status: Active Grant

• Current Assignee: Isys Medizintechnik Gmbh
• Original Assignee: INTIO, Inc.
• Inventors: Nields, Morgan, Gustafson, David E.
• Primary Examiner(s): Yun, Jurie
• Application Number:
  US12/025,565
• Publication Number:
  US 20090196480A1
• Time in Patent Office: 1,527 Days
• Field of Search: 378/62, 378/98.12, 382/128, 382130-132, 382/294, 348/32, 600/477, 128/922, 345/420
• US Class Current: 382/131
• CPC Class Codes: A61B 2017/00128 related to intensity or progress of surgical action
• CPC Class Codes: A61B 2018/00577 Ablation
• CPC Class Codes: A61B 2018/00589 Coagulation
• CPC Class Codes: A61B 2018/00642 with feedback, i.e. closed loop control
• CPC Class Codes: A61B 2018/0066 without feedback, i.e. open loop control
• CPC Class Codes: A61B 2018/00797 measured by multiple temperature sensors
• CPC Class Codes: A61B 2018/00803 with temperature prediction
• CPC Class Codes: A61B 6/027 characterised by the use of a particular data acquisition trajectory, e.g. helical or spiral
• CPC Class Codes: G06T 2207/10072 Tomographic images
• CPC Class Codes: G06T 2207/30096 Tumor; Lesion
• CPC Class Codes: G06T 7/33 using feature-based methods

Abstract

A thermal ablation system is operable to perform thermal ablation using an x-ray system to measure temperature changes throughout a volume of interest in a patient. Image data sets captured by the x-ray system during a thermal ablation procedure provide temperature change information for the volume being subjected to the thermal ablation. Intermediate image data sets captured during the thermal ablation procedure may be fed into a system controller, which may modify or update a thermal ablation plan to achieve volume coagulation necrosis targets. The thermal ablation may be delivered by a variety of ablation modes including radiofrequency ablation, microwave therapy, high intensity focused ultrasound, laser ablation, and other interstitial heat delivery methods. Methods of performing thermal ablation using x-ray system temperature measurements as a feedback source are also provided. Methods of assessing the post-ablation status of the patient and performance of the system are also provided.

Claims

1. A method of performing and assessing a thermal ablation procedure, said method comprising:

performing thermal ablation within a VOI in a patient;

capturing a first post-ablation procedure digital image of said VOI, wherein a first time interval occurs between said performing step and said capturing a first post-ablation procedure digital image step, wherein said first post-ablation procedure digital image is captured with a first x-ray scanner, wherein a first mass is discernable within said first post-ablation procedure digital image;

capturing a second post-ablation procedure digital image of said VOI, wherein a second time interval occurs between said capturing a first post-ablation procedure digital image step and said capturing a second post-ablation procedure digital image step, wherein said second post-ablation procedure digital image is captured with a second x-ray scanner, wherein a second mass is discernable within said second post-ablation procedure digital image;

registering said first post-ablation procedure digital image to said second post-ablation procedure digital image; and

displaying said first post-ablation procedure digital image and said second post-ablation procedure digital image such that at least a portion of differences between said first mass and said second mass are visually discernable.

2. The method of claim 1, further comprising:

capturing, during said performing step, a series of digital images with a third x-ray scanner of said VOI, wherein each image of said series of said digital images is comprised of detected image signal data corresponding with an array of spatial locations substantially throughout said VOI;

calculating image signal data changes for substantially each spatial location within said array between at least two of said series of digital images, wherein said calculating step comprises determining Hounsfield unit changes for substantially each spatial location within said array;

inferring, based at least in part on said calculated image signal data changes, time-temperature profiles at each spatial location within said array during said performing step; and

predicting a coagulation necrosis volume based on said time-temperature profiles.

3. The method of claim 2, wherein said third x-ray scanner is different than at least one of said first x-ray scanner and second x-ray scanner.

4. The method of claim 2, wherein said third x-ray scanner is remote from at least one of said first x-ray scanner and second x-ray scanner.

5. The method of claim 2, further comprising generating a digital necrosis image of said VOI that includes a depiction of said predicted coagulation necrosis volume.

6. The method of claim 5, further comprising displaying said second post-ablation procedure digital image and said digital necrosis image such that at least a portion of differences between said second mass and said predicted coagulation necrosis volume are visually discernable.

7. The method of claim 1, wherein substantially all necrosis caused by said ablation occurs prior to the end of said first time interval.

8. The method of claim 1, wherein said first time interval is at least 1 day.

9. The method of claim 8, wherein said first time interval is between 1 and 30 days.

10. The method of claim 9, wherein said second time interval is at least 30 days.

11. The method of claim 1, wherein said first x-ray scanner is unique from said second x-ray scanner.

12. The method of claim 11, wherein said first x-ray scanner is remote from said second x-ray scanner.

13. The method of claim 1, wherein said first and second x-ray scanners are x-ray CT scanners.

14. The method of claim 13, wherein at least one of said first and second x-ray CT scanners is an x-ray CBCT scanner.

15. The method of claim 1, wherein said displaying step comprises displaying a solid model rendering of said first post-ablation procedure digital image superimposed with a solid model rendering of said second post-ablation procedure digital image.

16. The method of claim 15, wherein each of said solid model renderings is in a unique color.

17. The method of claim 1, wherein said displaying step comprises displaying a solid model rendering of one of said first post-ablation procedure digital image and said second post-ablation procedure digital image superimposed with a wireframe rendering of the other one of said first post-ablation procedure digital image and said second post-ablation procedure digital image.

18. The method of claim 1, wherein said displaying step comprises displaying:

a solid model rendering of said first post-ablation procedure digital image superimposed with a wireframe rendering of said second post-ablation procedure digital image; and

a solid model rendering of said second post-ablation procedure digital image superimposed with a wireframe rendering of said first post-ablation procedure digital image.

19. A method of displaying a progression of a cryoablation procedure, said method comprising:

performing cryoablation within a VOI in a patient;

capturing, during said performing step, a series of digital images of said VOI with an x-ray scanner, wherein each image of said series of digital images is comprised of detected image signal data corresponding with an array of spatial locations substantially throughout said VOI;

calculating image signal data changes for substantially each spatial location within said array between at least two of said series of digital images;

identifying a region of said VOI undergoing transition from non-frozen to frozen; and

displaying said region of said VOI undergoing transition from non-frozen to frozen such that said region is visually discernable from other regions of said VOI, wherein said other regions of said VOI include non-frozen regions and frozen regions.

20. The method of claim 19, wherein said x-ray scanner is an x-ray CT scanner.

21. The method of claim 20, wherein said x-ray CT scanner is an x-ray CBCT scanner.

22. The method of claim 19, wherein said calculating step comprises determining Hounsfield unit changes for substantially each spatial location within said array.

23. The method of claim 19, wherein said region undergoing transition from non-frozen to frozen is displayed as a color-coded thin region between said non-frozen and frozen regions.

24. The method of claim 23, wherein said displaying step includes displaying a three-dimensional image of said region undergoing transition from non-frozen to frozen.

25. The method of claim 19, further comprising repeating said capturing, calculating, identifying, and displaying steps a plurality of times during said performing step to produce a series of images showing the progression of said region of said VOI undergoing transition from non-frozen to frozen during said performing of cryoablation.