Plausible reference curves for dynamic, contrast-enhanced imaging studies

Patent metadata

Field	Value
Publication number	US-9600883-B2
Application number	US-201013262836-A
Country	US
Kind code	B2
Filing date	Mar 9, 2010
Priority date	Apr 13, 2009
Publication date	Mar 21, 2017
Grant date	Mar 21, 2017

Abstract

A comprehensive strategy is used to determine valid reference time-concentration curves (TCCs) from image data. The image data corresponds to a series of image scans acquired over time for an area of interest of a patient to which a contrast agent was previously administered. The image scans are initially registered to a common coordinate system. Then, observed potential reference TCCs in the image scans are compared to modeled reference TCCs to determine if the potential reference TCCs are plausible reference TCCs. Thereafter, any plausible reference TCCs are evaluated to determine if they contain residual, isolated motion artifacts. If a plausible reference TCC does not include any motion artifacts, the plausible reference TCC is considered a valid reference TCC. If a plausible reference TCC is determined to include motion artifacts, the plausible reference TCC is modified to a valid reference TCC by removing the motion artifacts, or otherwise the plausible reference TCC is rejected. The valid reference TCCs can be used to improve the effectiveness of dynamic, contrast-enhanced imaging studies.

First claim

What is claimed is:

1. An image processing system, the system comprising:
a computer,
wherein the computer receives a plurality of image scans acquired over time, the image scans being of an area of interest of a patient to which a contrast agent was administered;
wherein the computer uses registration logic to register the image scans to a common coordinate system to compensate for artifacts in the image scans;
wherein the computer uses selection logic to process the image scans and automatically select locations at which observed reference information is compared to modeled reference information to obtain plausible reference information;
wherein the observed reference information includes a time-concentration curve representing an observed curve and the modeled reference information includes a time-concentration curve representing a model curve.

2. The system of claim 1 , wherein the modeled reference information is adjusted based on at least one of patient-specific, pathology-specific, and acquisition-specific information.

3. The system of claim 1 , wherein the computer uses registration logic to register a first image dataset comprising a first plurality of images having a first slice thickness to the common coordinate system, and then to form a second image dataset comprising a second plurality of images having a second slice thickness, and wherein the image scans comprises at least one of the first image dataset and the second image dataset.

4. The system of claim 1 , wherein the model curve has characteristics including (a) no attenuation is observed before the arrival of a main bolus of the contrast agent; (b) the model curve rises monotonously from a baseline to its peak; the model curve decays initially at a rate similar to a rate at which the model curve rose; and the model curve then decays slowly back to near the baseline as the contrast agent disperses.

5. The system of claim 1 , wherein the model curve is generated by detecting at least one of a bolus arrival time, a half-peak arrival time, a half-peak decay time, a time to peak, and a final baseline elevation for the contrast agent.

6. The system of claim 1 , wherein the model curve accounts for characteristics of the contrast agent, location of an injection site for the contrast agent, and the area of interest of the patient.

7. The system of claim 1 , wherein the model curve is adjusted based on non-image information.

8. The system of claim 7 , wherein the non-image information is information regarding the patient.

9. The system of claim 1 , wherein the selection logic measures a similarity between the observed curve and the corresponding model curve.

10. The system of claim 9 , wherein the selection logic determines a similarity measure as a ratio of an area under a difference curve, which corresponds to an amount of disagreement between the observed curve and the model curve, to an area under the observed curve.

11. The system of claim 3 , wherein the computer uses registration logic to compensate for motion in the first image dataset.

12. The system of claim 11 , wherein the first image dataset is registered based on at least one anatomical feature in the area of interest that is not affected by the contrast agent.

13. The system of claim 11 , wherein the first slice thickness is less than the second slice thickness.

14. The system of claim 13 , wherein the first slice thickness is 1 to 2 mm; and wherein the second slice thickness is 5 to 10 mm.

15. The system of claim 1 , wherein the computer uses correction logic to determine if the plausible reference information includes motion artifacts, and
if the plausible reference information is determined to include motion artifacts, the correction logic performs one of rejecting the plausible reference information and modifying the plausible reference information.

16. The system of claim 1 , further comprising an image acquisition device,
wherein the computer is interfaced with the image acquisition device, and
wherein the computer receives the image scans from the image acquisition device.

17. The system of claim 16 , wherein the computer and the image acquisition device are integrated into a console scanner.

18. The system of claim 11 , wherein the registration logic, the selection logic, and the correction logic are integrated.

19. The system of claim 1 , wherein the computer includes a graphical user interface for displaying the observed reference information and the modeled reference information at the same time.

20. The system of claim 19 , wherein the graphical user interface allows a user to interact with at least one of the observed reference information and the modeled reference information.

21. A method of determining plausible reference information from image data, the method comprising:
acquiring the image data in the form of a series of image scans taken over a period of time, the image scans being of an area of interest of a patient to which a contrast agent was administered;
registering the image scans to a common coordinate system to compensate for artifacts in the image scans;
automatically selecting locations at which observed reference information is compared to modeled reference information;
processing the image scans to compare observed reference information from the image scans to modeled reference information at the selected locations to obtain plausible reference information, wherein the observed reference information includes a time-concentration curve representing an observed curve and the modeled reference information includes a time-concentration curve representing a model curve; and
confirming the plausible reference information does not include a motion artifact.

22. The method of claim 21 , further comprising, if the plausible reference information is determined to include a motion artifact, performing one of rejecting the plausible reference information and modifying the plausible reference information.

23. A computer program product, comprising a computer usable non-transitory medium having a computer readable program code embodied therein, said computer readable program code adapted to be executed to implement a method of determining plausible reference information from image data in the form of a series of image scans taken over a period of time, the image scans being of an area of interest of a patient to which a contrast agent was administered, the method comprising:
registering the image scans to a common coordinate system to compensate for artifacts in the image scans;
automatically selecting locations at which observed reference information is compared to modeled reference information;
processing the image scans to compare observed reference information from the image scans to modeled reference information at the selected locations to obtain plausible reference information, wherein the observed reference information includes a time-concentration curve representing an observed curve and the modeled reference information includes a time-concentration curve representing a model curve; and
confirming the plausible reference information does not include a motion artifact.

24. The computer program product of claim 23 , wherein the method further comprises, if the plausible reference information is determined to include a motion artifact, performing one of rejecting the plausible reference information and modifying the plausible reference information.

Assignees

• Carlsen Ingwer C
• Meetz Kirsten
• Bredno Joerg
• Olszewski Mark
• Koninklijke Philips Nv

Inventors

• Carlsen Ingwer C
• Meetz Kirsten
• Bredno Joerg
• Olszewski Mark

Classifications

• G06T2207/20108

  Interactive selection of 2D slice in a 3D data set · CPC title

• G06T2207/10081

  Computed x-ray tomography [CT] · CPC title

• G06T7/0016 Primary

  involving temporal comparison · CPC title

• G06T2207/30104

  Vascular flow; Blood flow; Perfusion · CPC title

• G06T2207/10104

  Positron emission tomography [PET] · CPC title