Method and apparatus for medical intervention procedure planning

• US 7,346,381 B2
• Filed: 11/01/2002
• Issued: 03/18/2008
• Est. Priority Date: 11/01/2002
• Status: Expired due to Term

• Current Assignee: APN Health, LLC, General Electric Company
• Original Assignee: GE Medical Systems Global Technology Company LLC (GE Healthcare Technologies, Inc.), Jasbir S. Sra
• Inventors: Sra, Jasbir S., Okerlund, Darin R., Reddy, Shankara B.
• Primary Examiner(s): Smith; Ruth S.
• Application Number:
  US10/065,595
• Publication Number:
  US 20040087850A1
• Time in Patent Office: 1,964 Days
• Field of Search: 600/407, 600/424, 600425-427, 600/410, 600/429, 600/437, 600/436, 128/920, 128/922, 382/128, 382/130, 382/131, 382/173
• US Class Current: 600/407
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: A61B 5/352 Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts
• CPC Class Codes: A61B 6/032 Transmission computed tomography [CT]
• CPC Class Codes: A61B 6/037 Emission tomography
• CPC Class Codes: A61B 6/12 Arrangements for detecting or locating foreign bodies
• CPC Class Codes: A61B 6/484 involving phase contrast X-ray imaging
• CPC Class Codes: A61B 6/503 for diagnosis of the heart
• CPC Class Codes: A61B 6/504 for diagnosis of blood vessels, e.g. by angiography
• CPC Class Codes: A61B 6/541 involving acquisition triggered by a physiological signal
• CPC Class Codes: A61B 8/0891 for diagnosis of blood vessels
• CPC Class Codes: A61B 8/5284 involving retrospective matching to a physiological signal
• CPC Class Codes: G16H 20/40 relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

An imaging system for use in medical intervention procedure planning includes a medical scanner system for generating a volume of cardiac image data, a data acquisition system for acquiring the volume of cardiac image data, an image generation system for generating a viewable image from the volume of cardiac image data, a database for storing information from the data acquisition and image generation systems, an operator interface system for managing the medical scanner system, the data acquisition system, the image generation system, and the database, and a post-processing system for analyzing the volume of cardiac image data, displaying the viewable image and being responsive to the operator interface system. The operator interface system includes instructions for using the volume of cardiac image data and the viewable image for bi-ventricular pacing planning, atrial fibrillation procedure planning, or atrial flutter procedure planning.

Claims

1. An imaging system for use in medical intervention procedure planning involving a coronary sinus, comprising:

a medical scanner system configured for generating a volume of cardiac image data using a protocol configured for imaging the coronary sinus;

a data acquisition system configured for acquiring the volume of cardiac image data;

an image generation system configured for generating at least one viewable image from the volume of cardiac image data through dynamic segmentation;

a database configured for storing information from said data acquisition and image generation systems, and for storing a 3D model of at least the dynamically segmented volume of cardiac image data;

an operator interface system configured for managing at least one of said medical scanner system, said data acquisition system, said image generation system, and said database;

a post-processing system configured for analyzing the volume of cardiac image data, inserting at least three geometric markers into the volume of cardiac image data at corresponding anatomical landmarks, selecting a viewable parameter in response to the at least three geometric markers at the corresponding anatomical landmarks, generating the 3D model of the volume of cardiac image data with the at least three geometric markers, displaying the at least one viewable image, exporting the 3D model with the at least three geometric markers to said operator interface system, and being responsive to said operator interface system; and

wherein

said operator interface system comprises computer executable instructions stored in a memory for using and saving at least one of the volume of cardiac image data, the at least one viewable image, the corresponding anatomical landmarks, the 3D model with the at least three geometric markers, and a measured viewable parameter, in at least one of a bi-ventricular pacing planning, an atrial fibrillation planning, and an atrial flutter planning procedure, that involves the coronary sinus;

thereby providing an imaging system for use in intervenhional procedure planning that makes available, prior to an actual medical interventional procedure, the 3D model with the at least three geometric markers for subsequent registration with an interventional system for use during a subsequent interventional procedure.

2. The imaging system of claim 1, wherein said medical scanner system comprises at least one of a CT system, a MR system, an Ultrasound system, a 3D Fluoroscopy system, and a PET system.

3. The imaging system of claim 1, wherein said database includes storage for storing image data of the right atrium and the coronary sinus.

4. The imaging system of claim 1, wherein said database includes storage for storing the at least one viewable image of the right atrium and the coronary sinus.

5. The imaging system of claim 1, wherein said operator interface system includes further computer executable instructions stored in the memory for segmenting the volume of cardiac image data for viewing the right atrium and the coronary sinus.

6. The imaging system of claim 5, wherein said operator interface system includes further computer executable instructions stored in the memory for viewing the at least one viewable image in different planes.

7. The imaging system of claim 5, wherein said post-processing system is responsive to computer executable instructions for:

determining whether an arterial-phase or a venous-phase contrast study is under review;

dynamically adjusting a segmentation threshold in preparation for performing vessel tracking of the coronary sinus from the volume of cardiac image data, thereby enabling the coronary sinus to be tracked for both arterial-phase and venous-phase contrast enhanced studies; and

performing vessel tracking of the coronary sinus from the volume of cardiac image data.

8. The imaging system of claim 7, wherein said post-processing system is further responsive to computer executable instructions for performing vectorial vessel tracking along the centerline of the viewable image of the coronary sinus.

9. The imaging system of claim 1, wherein said post-processing system is adapted to display the at least one viewable image in at least one of a three-dimensional surface rendering, a three-dimensional inner surface rendering, a three-dimensional volume rendering, MPVR, MIP, curved reformat, lumen view, and an immersible view.

10. The imaging system of claim 9, wherein said post-processing system is further adapted to display a viewable image of the heart, the coronary sinus and the right atrium.

11. The imaging system of claim 10, wherein said post-processing system is further adapted to display a geometric marker of the at least three geometric markers at a corresponding anatomical landmark or at an external landmark.

12. The imaging system of claim 11, wherein said post-processing system is further adapted to display a viewable image of the coronary sinus in a translucent fashion and the geometric landmark in an opaque fashion.

13. The imaging system of claim 10, wherein said post-processing system is further adapted to display a first image of the heart in a translucent fashion and a second image of the coronary sinus in an opaque fashion.

14. The imaging system of claim 1, wherein:

said post-processing system is also configured for blending the volume of cardiac image data with the inserted geometric marker into an interventional system for registration therewith, thereby enabling use of the volume of cardiac image data with the inserted geometric marker during an interventional procedure on a patient.

15. The imaging system of claim 1, wherein:

the protocol conflgured for imaging the coronary sinus comprises helical scan data acquisition with gated reconstruction.

16. The imaging system of claim 1, whetein the post-processing system comprises an algorithm for automatically adjusting a dynamic segmentation threshold, and wherein the algorithm is adapted for ensuring tracking of the coronary sinus during at least one of an arterial contrast enhanced study and a venous-phase contrast enhanced study.

17. The imaging system of claim 1, wherein:

the database is further configured for storing the 3D model in an image format comprising at least one of a wire mesh geometric model, a solid geometric model, a set of contours associated with an image slice, a segmented volume of binary images, a run-length encoded binary segmentation mask, and a medical digital imaging object using a radiation therapy medical digital imaging object standard.

18. A method for generating an image for use in medical intervention procedure planning involving a coronary sinus, comprising:

acquiring a volume of cardiac image data from a medical scanner using a protocol configured for imaging the coronary sinus;

managing the volume of cardiac image data through dynamic segmentation for viewing the coronary sinus and associated right atrium;

processing the cardiac image data for viewing;

viewing the cardiac image data in at least one viewable image;

inserting at least three geometric markers into the volume of cardiac image data at corresponding anatomical landmarks for subsequent visualization, analysis and registration;

selecting a viewable parameter in response to the geometric markers at the anatomical landmarks;

saving at least one of at least one viewable image, at least one of the corresponding anatomical landmarks, and a measured viewable parameter, in an image database; and

generating and exporting to the image database a 3D model of at least the dynamically segmented volume of cardiac image data with the at least three geometric markers;

thereby providing for interventional procedure planning that makes available, prior to an actual medical interventional procedure, the 3D model with the at least three geometric markers for subsequent registration with an interventional system for use during a subsequent interventional procedure.

19. The method for generating an image as set forth in claim 18, wherein the generating and exporting comprises generating and exporting at least one 3D model containing the saved information to the image database, the at least one 3D model including the coronary sinus;

and further comprising;

importing the at least one 3D model into an operator interface system;

registering the at least one 3D model with the corresponding selected anatomical landmarks having the inserted geometric markers and the measured viewable parameter; and

visualizing the at least one 3D model at the operator interface system with the selected viewable parameters mapped thereon.

20. The method of generating an image as set forth in claim 19, wherein said visualizing the 3D model further comprises:

viewing the 3D model in different planes.

21. The method for generating san image as set forth in claim 18, wherein said acquiring a voiinne of cardiac image data further comprises:

acquiring a volume of cardiac image data using at least one of a CT system, a MR system, an Ultrasound system, a 3D Fluoroscopy system, and a PET system.

22. The method of generating an image as set forth in claim 18, wherein said processing the cardiac image data further comprises:

processing the cardiac image data for viewing at least one of a three-dimensional model, a three-dimensional surface rendering, a three-dimensional inner surface rendering, a three-dimensional volume rendering, MPVR, MIP, curved reformat, lumen view, and an immersible view.

23. The method of generating an image as set forth in claim 20, wherein said processing the cardiac image data further comprises:

processing the cardiac image data for viewing the coronary sinus and associated right atrium.

24. The method of generating an image as set forth in claim 23, further comprising:

performing vessel tracking of the coronary sinus from the volume of cardiac image data.

25. The method of generating an image as set forth in claim 24, further comprising:

performing vectorial vessel tracking along the centerline of the immersible view of the coronary sinus.

26. The method of generating an image as set forth in claim 18, wherein said inserting at least three geometric markers into the volume of cardiac image data further comprises:

inserting at least three geometric markers at corresponding anatomical landmarks identifying at least one substructure of the coronary sinus and associated right atrium.

27. The method of generating an image as set forth in claim 26, wherein said viewing the cardiac image data further comprises:

viewing the at least one viewable image of the coronaxy sinus in a translucent fashion and viewing at least one of the at least three geometric landmarks in an opaque fashion.

28. The method of generating an image as set forth in claim 18, wherein said selecting a viewable parameter further comprises:

selecting a viewable parameter of the coronary sinus vessel wherein the viewable parameter comprises at least one of a vessel diameter, a vessel segment path length, and a degree of vessel curvature.

29. The method of generating an image as set forth in claim 28, further comprises:

measuring the viewable parameter.

30. The method of generating an image as set forth in claim 18, wherein said viewing the cardiac image data further comprises:

viewing an image of the heart in a translucent fashion and viewing an image of the coronary sinus in an opaque fashion.

31. The method for generating an image as set forth in claim 18, further comprising:

determining whether an arterial-phase or a venous-phase contrast study is under review; and

in response to a venous-phase contrast study being under review, filtering the volume of cardiac image data to remove heart chamber blood pools.

32. The method for generating an image as set forth in claim 31, further comprising:

in response to an arterial-phase contrast study being under review, determining whether high quality tracking is to be performed;

if high quality tracking is to be performed, filtering the volume of cardiac image data to remove heart chamber blood pools and high intensity coronary arteries; and

if high quality tracking is not to be performed, selecting a low intensity segmentation threshold in preparation for performing vessel tracking of the coronary sinus from the volume of cardiac image data.

33. The method for generating an image as set forth in claim 18, further comprising:

determining whether an arterial-phase or a venous-phase contrast study is under review; and

dynamically adjusting a segmentation threshold in preparation for performing vessel tracking of the coronary sinus from the volume of cardiac image data, thereby enabling the coronary sinus to be tracked for both arterial-phase and venous-phase contrast enhanced studies.

34. The method for generating an image as set forth in claim 18, further comprising:

establishing a brightness for the image prior to the dynamic segmentation.

35. The method for generating an image as set forth in claim 18, further comprising:

automatically distinguishing between the different image contrasts of an arterial contrast enhanced study and a venous-phase contrast enhanced study.

36. The method for generating an image as set forth in claim 18, wherein generating the 3D model comprises:

performing segmentation of cardiac image volume data to define a subvolume or 3D model of a substructure.

37. The method for generating an image as set forth in claim 18, further comprising automatically adjusting a dynamic segmentation threshold value.

38. The method of claim 18, wherein:

generating and exporting further comprises generating and exporting the 3D model in a format comprising at least one of a wire mesh geometric model, a solid geometric model, a set of contours associated with an image slice, a segmented volume of binary images, a run-length encoded binary segmentation mask, and a medical digital imaging object using a radiation therapy medical digital imaging object standard.

39. An imaging system for generating an image for use in medical intervention procedure planning involving a coronary sinus, the system comprising:

a medical scanner configured for acquiring a volume of cardiac image data using a protocol configured for imaging the coronary sinus;

a processor configured for managing the volume of cardiac image data through dynamic segmentation for viewing the coronary sinus and associated right atrium;

a display configured for viewing the cardiac image data in at least one viewable image;

an operator interface configured for inserting at least three geometric markers into the volume of cardiac image data at corresponding anatomical landmarks for subsequent visualization, analysis and registration, and for selecting a viewable parameter in response to the geometric markers at the anatomical landmarks;

an image database configured for saving at least one of;

at least one viewable image, at least one of the corresponding anatomical landmarks, and a measured viewable parameter; and

a post-processing system configured for generating and exporting to the image database a 3D model of at least the dynamically segmented volume of cardiac image data with the at least three geometric markers;

wherein prior to an actual medical interventional procedure, the image database makes available the 3D model with the at least three geometric markers for subsequent registration with an interventional system for use during a subsequent interventional procedure.

40. The imaging system of claim 39, wherein the post-processing system is responsive to computer executable instructions for:

processing the cardiac image data for viewing the coronary sinus and associated right atrium; and

performing vectorial vessel tracking, of the coronary sinus from the volume of cardiac image data, along the centerline of an immersible view of the coronary sinus.

41. The imaging system of claim 39, wherein:

the operator interface is further configured for inserting at least three geometric markers at corresponding anatomical landmarks identifying at least one substructure of the coronary sinus and associated right atrium.

42. The imaging system of claim 39, wherein the post-processing system is responsive to computer executable instructions for:

determining whether an arterial-phase or a venous-phase contrast study is under review; and

dynamically adjusting a segmentation threshold in preparation for performing vessel tracking of the coronary sinus from the volume of cardiac image data, thereby enabling the coronary sinus to be tracked for both arterial-phase and venous-phase contrast enhanced studies.