IP Library Granted Patent US 11,663,755
Granted Patent B2
US 11,663,755 · App. 17/573,032 · Granted May 30, 2023

Determination of dynamic DRRs

Inventors: Kajetan Berlinger (Munich, DE); Birte Domnik (Munich, DE); Elisa Garcia Corisco (Munich, DE); Pascal Bertram (Munich, DE)
Assignee: BRAINLAB AG
G06T11/003A61B6/032A61B6/12A61B6/486A61B6/5223A61B6/5288A61N5/1037A61N5/1049G06T7/0012G06T7/20G06T11/008G16H50/50A61N2005/1062G06T2207/10076G06T2207/10081G06T2207/10124G06T2207/30241G06T2211/412
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Quick Facts
Patent No.
US 11,663,755
App. No.
17/573,032
Granted
May 30, 2023
Kind
B2
Abstract

A computer implemented method for determining a two dimensional DRR referred to as dynamic DRR based on a 4D-CT, the 4D-CT describing a sequence of three dimensional medical computer tomographic images of an anatomical body part of a patient, the images being referred to as sequence CTs, the 4D-CT representing the anatomical body part at different points in time, the anatomical body part comprising at least one primary anatomical element and secondary anatomical elements, the computer implemented method comprising the following steps: acquiring the 4D-CT; acquiring a planning CT, the planning CT being a three dimensional image used for planning of a treatment of the patient, the planning CT being acquired based on at least one of the sequence CTs or independently from the 4D-CT, acquiring a three dimensional image, referred to as undynamic CT, from the 4D-CT, the undynamic CT comprising at least one first image element representing the at least one primary anatomical element and second image elements representing the secondary anatomical elements; acquiring at least one trajectory, referred to as primary trajectory, based on the 4D-CT, the at least one primary trajectory describing a path of the at least one first image element as a function of time; acquiring trajectories of the second image elements, referred to as secondary trajectories, based on the 4D-CT; for the image elements of the undynamic CT, determining trajectory similarity values based on the at least one primary trajectory and the secondary trajectories, the trajectory similarity values respectively describing a measure of similarity between a respective one of the secondary trajectories and the at least one primary trajectory; determining the dynamic DRR by using the determined trajectory similarity values, and, in case the planning CT is acquired independently from the 4D-CT, further using a transformation referred to as planning transformation from the undynamic CT to the planning CT, at least a part of image values of image elements of the dynamic DRR being determined by using the trajectory similarity values.

Claims (74)

1. A computer implemented method for determining a three-dimensional image based on a 4D-CT, the method comprising:

acquiring the 4D-CT;

acquiring a three dimensional image from the 4D-CT as an undynamic CT, the undynamic CT including at least one first image element representing at least one primary anatomical element and second image elements representing secondary anatomical elements;

acquiring a primary trajectory, based on 4D-CT, the primary trajectory describing a path of the at least one first image element as a function of time;

acquiring secondary trajectories of the second image elements, based on the 4D-CT;

for at least one of the first or second image elements of the undynamic CT, determining a corresponding trajectory similarity value based on the primary trajectory and the secondary trajectories;

and further comprising at least one of the following steps:

determining a dynamic DRR by the determined corresponding trajectory similarity values at least a part of image values of image elements of the dynamic DRR being determined by using the trajectory similarity values; or

determining a dynamic CT by changing image values of at least a part of at least the second image elements of the undynamic CT in dependence on the corresponding trajectory similarity value determined for respective image elements.

2. The method of claim 1 , wherein:

the 4D-CT includes a sequence of three-dimensional CTs of an anatomical body part at different points in time, and

the anatomical body part includes the at least one primary anatomical element and the secondary anatomical elements.

3. The method of claim 2 , wherein:

the undynamic CT is one of the three-dimensional CTs in the sequence, or

the undynamic CT is generated by interpolating at least two of the three-dimensional CTs in the sequence.

4. The method of claim 1 , wherein determining the dynamic DRR comprises:

determining the dynamic DRR using the undynamic CT or the dynamic CT, in addition to considering the determined corresponding trajectory similarity values, wherein the dynamic DRR is a two-dimensional image.

5. The method of claim 1 , further comprising:

applying the undynamic CT or the dynamic CT as a planning CT to plan a treatment for a patient.

6. The method of claim 1 , further comprising:

acquiring a planning CT independent of the 4D-CT, the planning CT identifying one or more of the at least one primary anatomical element and the secondary anatomical elements; and

determining a transformation from the undynamic CT to the planning CT.

7. The method of claim 6 , further comprising:

determining a dynamic planning CT using the planning CT and the determined corresponding trajectory similarity values, wherein image values of one or more image elements representing respective secondary anatomical elements are in dependence on the trajectory similarity values.

8. The method of claim 1 , further comprising:

determining a similarity image based on the 4D-CT and the trajectory similarity values, the trajectory similarity values being image values of image elements of the similarity image; and/or

displaying the similarity image.

9. The method of claim 1 , wherein changing the image values of at least a part of at least the second image elements of the undynamic CT in dependence on the corresponding trajectory similarity value determined for respective second image elements comprises:

determining whether a trajectory similarity value satisfies a threshold value, and

when the trajectory similarity value is lower than the threshold value:

set an image value of a second image element to which the trajectory similarity value corresponds to a black level, or

modify a color value of the second image element to which the trajectory similarity value corresponds.

10. The method of claim 1 , wherein at least one of the first and second image elements is determined by segmenting the undynamic CT using an anatomic atlas.

11. The method of claim 10 , wherein segmenting the undynamic CT using the anatomic atlas comprises:

matching the anatomic atlas to the undynamic CT;

assigning one or more points of the undynamic CT to one or more of the at least one primary anatomical element;

assigning one or more additional points of the undynamic CT to one or more of the secondary anatomical elements; and

segmenting, based on the one or more points and the one or more additional points, the undynamic CT, to identify the at least one primary anatomical element and the one or more secondary anatomical elements.

12. The method of claim 10 , further comprising:

when one or more of the second image elements determined using the anatomic atlas is not subject to vital movement, excluding the one or more of the second image elements from the determination of corresponding trajectory similarity values.

13. A non-transitory computer-readable storage medium storing computer instructions executable by one or more processors to perform a computer implemented method, the method comprising:

acquiring the 4D-CT;

acquiring a three dimensional image from the 4D-CT as an undynamic CT, the undynamic CT including at least one first image element representing at least one primary anatomical element and second image elements representing secondary anatomical elements;

acquiring a primary trajectory, based on 4D-CT, the primary trajectory describing a path of the at least one first image element as a function of time;

acquiring secondary trajectories of the second image elements, based on the 4D-CT;

for a respective one of the second image elements of the undynamic CT, determining a corresponding trajectory similarity value based on the primary trajectory and the secondary trajectories;

and further comprising at least one of the following steps:

determining a dynamic DRR by the determined corresponding trajectory similarity values, at least a part of image values of image elements of the dynamic DRR being determined by using the trajectory similarity values; or

determining a dynamic CT by changing image values of at least a part of at least the second image elements of the undynamic CT in dependence on the trajectory similarity value determined for respective second image elements.

14. The non-transitory computer-readable storage medium of claim 13 , wherein:

the 4D-CT includes a sequence of three-dimensional CTs of an anatomical body part at different points in time, and

the anatomical body part includes the at least one primary anatomical element and the secondary anatomical elements.

15. The non-transitory computer-readable storage medium of claim 13 , wherein:

the undynamic CT is one of the three-dimensional CTs in the sequence, or

the undynamic CT is generated by interpolating at least two of the three-dimensional CTs in the sequence.

16. The non-transitory computer-readable storage medium of claim 13 , wherein determining the dynamic DRR comprises:

determining the dynamic DRR using the undynamic CT or the dynamic CT, in addition to considering the determined corresponding trajectory similarity values, the dynamic DRR being a two-dimensional image.

17. A system, comprising a computer having at least one processor to execute instructions stored on associated memory, the instructions, when implemented, cause the at least one processor to perform following steps:

acquiring the 4D-CT;

acquiring a three dimensional image from the 4D-CT as an undynamic CT, the undynamic CT including at least one first image element representing at least one primary anatomical element and second image elements representing secondary anatomical elements;

acquiring a primary trajectory, based on 4D-CT, the primary trajectory describing a path of the at least one first image element as a function of time;

acquiring secondary trajectories of the second image elements, based on the 4D-CT;

for a respective one of the second image elements of the undynamic CT, determining a corresponding trajectory similarity value based on the primary trajectory and the secondary trajectories;

and further comprising at least one of the following steps:

determining a dynamic DRR by the determined corresponding trajectory similarity values, at least a part of image values of image elements of the dynamic DRR being determined by using the corresponding trajectory similarity values; or

determining a dynamic CT by changing image values of at least a part of at least the second image elements of the undynamic CT in dependence on the corresponding trajectory similarity value determined for respective second image elements.

18. The system of claim 17 , wherein:

the 4D-CT includes a sequence of three-dimensional CTs of an anatomical body part at different points in time, and

the anatomical body part includes the at least one primary anatomical element and the secondary anatomical elements.

19. The system of claim 17 , wherein:

the undynamic CT is one of the three-dimensional CTs in the sequence, or

the undynamic CT is generated by interpolating at least two of the three-dimensional CTs in the sequence.

20. The system of claim 17 , wherein determining the dynamic DRR comprises:

determining the dynamic DRR using the undynamic CT or the dynamic CT, in addition to considering the determined corresponding trajectory similarity values, the dynamic DRR being a two-dimensional image.

Assignments (2)
CHANGE OF NAME Recorded Dec 3, 2025
From: BRAINLAB AG
To: BRAINLAB SE
Reel/Frame 073827/0005 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 10, 2022
From: BERLINGER, KAJETAN; DOMNIK, BIRTE; CORISCO, ELISA GARCIA; BERTRAM, PASCAL
To: BRAINLAB AG
Reel/Frame 058973/0011 →
Continuity (3)
Continuation 17010254 · Sep 2, 2020
Continuation 16075431
Related Publication 20220189080A1 · Jun 16, 2022