Motion compensated imaging

Patent metadata

Field	Value
Publication number	US-9269166-B2
Application number	US-201214116367-A
Country	US
Kind code	B2
Filing date	Apr 26, 2012
Priority date	May 12, 2011
Publication date	Feb 23, 2016
Grant date	Feb 23, 2016

Abstract

A method includes performing a motion compensated reconstruction of functional projection data using a patient-adapted motion model, which is generated based on a generic anatomical motion model and imaging data from a structural scan. A system includes a first adapter ( 202 ) configured to adapt a generic anatomical model to structural image data, producing an adapted model, a forward projector ( 204 ) configured to forward project the adapted model, producing forward projected data, and a second adapter ( 206 ) configured to adapt the forward projected data to individual projections of projected data, which is used to generate the structural image data, producing a patient-adapted motion model.

First claim

What is claimed is:

1. A method, comprising:
geometrically adapting a generic anatomical model to corresponding anatomy represented in image data, producing a patient-adapted anatomical model, and the image data is generated from a CT structural scan which includes at least one entire motion cycle;
performing a motion compensated reconstruction of functional projection data using the patient-adapted motion model and attenuation correction using the CT structural scan; and
wherein the at least one entire motion cycle includes free patient respiration from full inhalation to full exhalation to full inhalation, and the patient-adapted anatomical model includes motion displacement vectors for each identified motion phase, and the identified motion phases include a plurality of phases between full inhalation and full exhalation.

2. The method of claim 1 , wherein the at least one entire motion cycle includes cardiac and respiratory motion.

3. The method of claim 1 , further comprising:
identifying the motion phases by a sensor.

4. The method of claim 3 , wherein the adapting, comprising:
detecting tissue of interest in the image data;
transforming the adapted anatomical model to image space; and
employing a deformable surface adaption to adapt the transformed adapted anatomical model to the detected tissue of interest in the image data.

5. The method of claim 4 , wherein the transforming, comprising:
employing a point-based registration to transform the adapted anatomical model to the image space.

6. The method of claim 1 , wherein geometrically adapting includes forward projecting the adapted anatomical model, producing forward projected data, wherein the patient-adapted motion model is generated based on the forward projected data and individual projections from projection data of the CT structural scan.

7. The method of claim 6 , further comprising:
adapting the forward projected data to individual projections of the structural scan, each individual projection representing one of the identified motion states, producing the patient-adapted motion model.

8. The method of claim 7 , wherein the functional projection data is sorted into temporal bins, identified by motion phase.

9. The method of claim 8 , wherein the motion phase for each bin is derived from at least one of a motion sensor, or image-based motion-phase measures.

10. The method of claim 1 , wherein the motion compensated reconstruction includes performing one of a motion-compensated filtered-back projection reconstruction or a motion-compensated iterative reconstruction.

11. A system, comprising:
a first adapter configured to adapt a generic anatomical model to CT structural image data acquired over at least one entire motion cycle, producing an adapted model;
a forward projector configured to forward project the adapted model, producing forward projected data;
a second adapter configured to adapt the forward projected data to individual projections of projection data, which is used to generate the CT structural image data, producing a patient-adapted motion model;
a reconstructor that utilizes the patient-adapted motion model to motion correct functional projection data and the CT structural image data for attenuation correction of the functional projection data; and
wherein the at least one entire motion cycle includes free patient respiration from full inhalation to full exhalation to full inhalation, and the patient-adapted anatomical model includes motion displacement vectors for each identified motion phase, and the identified motion phases include a plurality of phases between full inhalation and full exhalation.

12. The system of claim 11 , wherein the first adapter geometrically adapts the generic anatomical model to corresponding anatomy represented in the CT structural image data for each identified motion phase, producing an adapted anatomical model.

13. The system of claim 12 , wherein the first adapter geometrically adapts the generic anatomical model to corresponding anatomy represented in the CT structural image data through a point-based registration.

14. The system of claim 11 , wherein the individual projections of the projection data represent different motion states.

15. The system of claim 11 , wherein the functional projection data includes at least one of SPECT or PET data.

16. A non-transitory computer readable storage medium encoded with computer readable instructions, which, when executed by a processor of a computing system, causes the system to:
perform a motion compensated reconstruction with attenuation correction of at least one of SPECT or PET projection data based on attenuation correction scan data of a CT scan of a patient and a patient-specific motion model generated based on the CT scan that includes at least one entire motion cycle of free patient respiration from full inhalation to full exhalation to full inhalation, and the patient-specific motion model includes motion displacement vectors for each identified motion phase, and the identified motion phases include a plurality of phases between full inhalation and full exhalation.

Assignees

• Hansis Eberhard Sebastian
• Lorenz Cristian
• Klinder Tobias
• Kabus Sven
• Song Xiyun
• Koninkl Philips Nv

Inventors

• Hansis Eberhard Sebastian
• Lorenz Cristian
• Klinder Tobias
• Kabus Sven
• Song Xiyun

Classifications

• G06T12/10

  Image preprocessing, e.g. calibration, positioning of sources or scatter correction · CPC title

• G06T12/00 Primary

  Tomographic reconstruction from projections · CPC title

• A61B6/4417

  related to combined acquisition of different diagnostic modalities · CPC title

• A61B6/5264

  due to motion · CPC title

• A61B6/037

  Emission tomography · CPC title