METHOD OF COMPENSATION OF RESPIRATORY MOTION IN CARDIAC IMAGING

• US 20100310140A1
• Filed: 04/27/2010
• Published: 12/09/2010
• Est. Priority Date: 06/09/2009
• Status: Active Grant

• Current Assignee: Siemens Healthineers AG (Siemens AG)
• Original Assignee: Siemens Corp. (Siemens AG)
• Inventors: Schneider, Matthias, Xu, Chenyang, Liao, Rui, Sundar, Hari
• Granted Patent: US 9,412,044 B2
• Time in Patent Office: Days
• US Class Current: 382/130
• CPC Class Codes: G06F 18/2135 based on approximation criteria, e.g. principal component analysis
• CPC Class Codes: G06T 2207/10081 Computed x-ray tomography [CT]
• CPC Class Codes: G06T 2207/10121 Fluoroscopy
• CPC Class Codes: G06T 2207/20081 Training; Learning
• CPC Class Codes: G06T 2207/30048 Heart; Cardiac
• CPC Class Codes: G06T 7/277 involving stochastic approaches, e.g. using Kalman filters
• CPC Class Codes: G06T 7/35 using statistical methods
• CPC Class Codes: G06V 10/7715 Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
• CPC Class Codes: G06V 2201/03 Recognition of patterns in medical or anatomical images

Abstract

A method (10) for respiratory motion compensation by applying principle component analysis (PCA) on cardiac imaging samples obtained using 2D/3D registration of a pre-operative 3D segmentation of the coronary arteries.

Claims

1. A method of motion compensation for cardiac imaging of a patient, comprising the steps of:

a. obtaining a pre-operative volumetric image dataset of a cardiac target site for the patient;

b. obtaining an intra-operative image of the target site;

c. performing a registration of the pre-operative volumetric dataset with the intra-operative image;

d. incorporating a model of the respiratory motion made by the patient'"'"'s heart into the registration to compensate for the respiratory motion; and

e. adjusting the registrations for the intra-operative image and subsequent intra-operative images using the motion model.

2. The method of claim 1, wherein the step of obtaining a pre-operative volumetric image dataset comprises retrieving from a data storage a 3D coronary tree image of the target site.

3. The method of claim 2, wherein the 3D coronary tree image is reconstructed from a pre-operative CT scan of the patient.

4. The method of claim 1, wherein the step of obtaining an intra-operative image comprises retrieving from a data storage a 2D X-ray fluoroscopic image of the target site.

5. The method of claim 1, wherein the step of obtaining an intra-operative image comprises retrieving from a data storage a sequence of intra-operative images of the target site.

6. The method of claim 5, wherein the sequence of intra-operative images is an ECG-gated 2D fluoroscopic angiogram sequence.

7. The method of claim 2, wherein the step of obtaining an intra-operative image comprises retrieving from a data storage an ECG-gated 2D fluoroscopic angiogram sequence.

8. The method of claim 1, wherein the step of performing a registration comprises overlaying the pre-operative volumetric image dataset onto the intra-operative image and optimizing an alignment of the images.

9. The method of claim 7, wherein the step of performing a registration comprises overlaying the 3D coronary tree image onto the angiogram sequence of images and optimizing an alignment of the images.

10. The method of claim 1, wherein the step of incorporating comprises defining the motion model using principle component analysis on cardiac imaging samples that are obtained from a pre-operative registration of a volumetric image dataset with an angiogram sequence of the coronary arteries of the patient.

11. The method of claim 1, wherein the step of incorporating comprises defining the model using principle component analysis on cardiac imaging samples that are obtained using 2D/3D registration of a pre-operative 3D segmentation of the coronary arteries with an ECG-gated 2D fluoroscopic angiogram sequence.

12. The method of claim 9, wherein the step of incorporating comprises defining the model using principle component analysis on cardiac imaging samples that are obtained using 2D/3D registration of a pre-operative 3D segmentation of the coronary arteries with an ECG-gated 2D fluoroscopic angiogram sequence.

13. The method of claim 1, wherein the step of adjusting the registrations comprises restricting the scope of the registrations using prior information of the respiratory motion provided by the motion model.

14. The method of claim 12, wherein the step of adjusting the registrations comprises restricting the scope of the registrations using prior information of the respiratory motion provided by the motion model.

15. The method of claim 1, wherein the step of adjusting the registrations comprises restricting the parameters of optimizing an alignment of the images using prior information of the respiratory motion provided by the motion model.

16. The method of claim 1, further comprising a step of performing registrations for subsequent intra-operative images of the target site using the motion model.

17. The method of claim 1, further comprising a step of performing registrations for subsequent intra-operative images of the target site and continuously adjusting the registrations due to respiratory motions using the motion model.

18. A method of respiratory motion correction in image-guided cardiac interventions, comprising registering a pre-operative volumetric image with intra-operative images of the cardiac areas of interest, said registering being constrained by a principle component analysis-based model of the respiratory motion of a respective patient'"'"'s heart.

19. The method of claim 18, wherein the motion model constrains a registration by restricting the parameters of optimizing an alignment of the images using prior information of the respiratory motion.

20. A method of registering a 3D volumetric image dataset with an angiogram, comprising restricting the parameters of optimizing an alignment of the images using prior information of the respiratory motion and displaying the registration to respective users.

21. A method of cardiac imaging, comprising the steps of:

a. registering a pre-operative 3D centerline segmentation of a patient'"'"'s coronary arteries with an ECG-gated angiogram sequence;

b. applying principle component analysis on a selected number of registration results to model the respiratory motion of the patient'"'"'s heart;

c. registering subsequent angiograms performed during a cardiac intervention for the patient by using the analysis results to restrict the optimization of image alignments; and

d. presenting the registration results to respective cardiac imaging users.