List mode dynamic image reconstruction

Patent metadata

Field	Value
Publication number	US-9761020-B2
Application number	US-201214116358-A
Country	US
Kind code	B2
Filing date	May 8, 2012
Priority date	May 12, 2011
Publication date	Sep 12, 2017
Grant date	Sep 12, 2017

Abstract

A nuclear imaging apparatus ( 8 ) acquires nuclear imaging data comprising events wherein each event records at least spatial localization information and a timestamp for a nuclear decay event. An event-preserving image reconstruction module ( 22 ) reconstructs the nuclear imaging data using an event-preserving reconstruction algorithm to generate an image represented as an event-preserving reconstructed image dataset (I D ) comprising for each event the timestamp and at least one spatial voxel assignment. One or more structures are identified in the image and independent motion compensation is performed for each structure. In one approach, an events group is identified corresponding to the structure comprising events assigned to the structure by the event-preserving reconstructed image dataset; a time binning of the events of each events group is optimized based on a motion profile for the structure; time bin images are generated; and the structure is spatially registered in the time bin images.

First claim

Having thus described the preferred embodiments, the invention is now claimed to be:

1. A non-transitory storage medium storing instructions executable by a digital processor to perform a method comprising:
providing imaging data comprising events wherein each event records at least spatial localization information for a decay event and a timestamp for the decay event;
reconstructing the imaging data using a digital processing device implementing an event-preserving reconstruction algorithm to generate an event-preserving reconstructed image dataset comprising the events of the provided imaging data with for each event the timestamp and at least one spatial voxel assignment that assigns the event to a single voxel or to one or more voxels with a membership probability for each voxel; and
performing a post-reconstruction image processing operation on the image, the post-reconstruction image processing operation utilizing timestamps of the event-preserving reconstructed image dataset.

2. The non-transitory storage medium of claim 1 , wherein the performing of post-reconstruction image processing comprises:
identifying a plurality of structures of interest in the event-preserving reconstructed image dataset;
performing independent motion compensation for each identified structure of interest to generate motion-compensated image data; and
displaying the motion-compensated image data in a visually perceptible format.

3. The non-transitory storage medium of claim 2 , wherein the performing of independent motion compensation for each identified structure of interest to generate motion-compensated image data comprises performing motion compensation that compensates non-cyclic motion of at least one identified structure.

4. The non-transitory storage medium of claim 2 , wherein the performing of independent motion compensation for each identified structure of interest to generate motion-compensated image data comprises performing motion compensation that compensates abrupt motion of at least one identified structure.

5. The non-transitory storage medium of claim 2 , wherein the performing of independent motion compensation for each identified structure of interest to generate motion-compensated image data comprises performing motion compensation that compensates different motion trajectories of different identified structures.

6. The non-transitory storage medium of claim 1 , wherein the performing comprises:
identifying a structure of interest in the event-preserving reconstructed image dataset;
identifying an events group corresponding to the structure wherein the events group comprises events assigned to spatial voxels of the structure by the event-preserving reconstructed image dataset;
identifying a motion profile for the structure;
optimizing time bins for time binning events of the events group based on the motion profile for the structure; and
generating a time bin image for each optimized time bin.

7. The non-transitory storage medium of claim 6 , wherein the generating of the time bin images does not include performing image reconstruction on the time bins.

8. The non-transitory storage medium of claim 6 , wherein the performing further comprises:
combining the time bin images of the structure to generate a motion-compensated structure image by spatially shifting the time bin images to a reference time; and
displaying an image comprising at least the motion-compensated structure image.

9. The non-transitory storage medium of claim 6 , wherein the performing further comprises:
spatially registering the structure in the time bin images to generate a motion corrected structure image.

10. The non-transitory storage medium of claim 6 , wherein the performing further comprises:
displaying a CINE sequence including at least the time bin images.

11. The non-transitory storage medium of claim 6 , wherein the identifying of the motion profile comprises identifying a non-cyclic motion trajectory for the structure.

12. The non-transitory storage medium of claim 6 , wherein the identifying of the motion profile comprises identifying the motion profile of the structure as comprising at least one abrupt motion event.

13. A method comprising:
acquiring imaging data comprising events using a positron emission tomography (PET) or single photon emission computed tomography (SPECT) scanner wherein each event records at least spatial localization information for a decay event and a timestamp for the decay event;
reconstructing the imaging data to generate an image by using a digital processing device to perform an event-preserving image reconstruction algorithm to generate an event-preserving reconstructed image dataset comprising for each event the timestamp and at least one spatial voxel assignment; and
storing the image comprising the event-preserving reconstructed image dataset in an image dataset storage.

14. The method of claim 13 , further comprising:
after the reconstructing, generating a derived image comprising at least a portion of the data related to the events of the event-preserving reconstructed image dataset, the portion of the data being selected based at least on timestamps of the events, the derived image being generated without performing an image reconstruction algorithm on the portion of the data; and
displaying the derived image.

15. The method of claim 14 , wherein the generating of the derived image comprises:
assigning a grayscale intensity for each voxel of the derived image based on a count of the number of events of the sub-set assigned to that voxel.

16. A method comprising:
providing imaging data comprising events wherein each event records at least spatial localization information for a decay event and a timestamp for the decay event;
reconstructing the imaging data using an event-preserving image reconstruction algorithm to generate an event-preserving image in which the timestamps of the events are preserved; and
generating a derived image from the event-preserving image by removing the contribution to the event-preserving image of a portion of the imaging data wherein said portion is selected based on the preserved timestamps, the derived image being generated from the event-preserving image without performing an image reconstruction algorithm;
wherein the reconstructing and the generating are performed by a digital processing device.

17. The method of claim 16 , further comprising:
displaying the derived image.

18. A method comprising:
providing imaging data comprising events wherein each event records at least spatial localization information for a decay event and a timestamp and at least one spatial voxel assignment for the decay event;
reconstructing the imaging data using an event-preserving image reconstruction algorithm to generate an event-preserving image in which the timestamps and the at least one spatial voxel assignment of the events are preserved;
sorting the events of the event-preserving image into time bins based on the preserved timestamps;
generating a time bin image for each time bin; and
displaying at least one of (i) one or more of the time bin images and (ii) a CINE sequence of the time bin images;
wherein the reconstructing, sorting, and generating are performed by a digital processing device.

19. The method of claim 18 , wherein the generating of the time bin images does not include performing an image reconstruction algorithm.

20. The method of claim 18 , further comprising:
receiving a user selection of a time interval for the ti

Assignees

• Prevrhal Sven
• Bredno Joerg
• Perkins Amy
• Olivier Patrick
• Koninklijke Philips Nv

Inventors

• Prevrhal Sven
• Bredno Joerg
• Perkins Amy
• Olivier Patrick

Classifications

• G06T12/20 Primary

  Inverse problem, i.e. transformations from projection space into object space · CPC title

• G06T12/10 Primary

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

• G06T7/20

  Analysis of motion (motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51) · CPC title

• G06T11/005 Primary

  Physics · mapped topic

• G06T2211/412

  Dynamic · CPC title