IP Library › Granted Patent US 11,995,773
Granted Patent B2
US 11,995,773 · App. 17/763,728 · Granted May 28, 2024

Computer implemented method and system for navigation and display of 3D image data

Inventors: John Munro Simpson (London Greater London, GB); Kuberan Pushparajah (London Greater London, GB); Alberto Gómez Herrero (London Greater London, GB); Julia Anne Schnabel (London Greater London, GB); Gavin Wheeler (London Greater London, GB); Shujie Deng (London Greater London, GB); Nicolas Toussaint (London Greater London, GB)
Assignees: King's College London; Guy's and St. Thomas' NHS Foundation Trust
G06T19/003G06F3/04815G06F3/04845G06T19/20G06T2219/2024
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Quick Facts
Patent No.
US 11,995,773
App. No.
17/763,728
Granted
May 28, 2024
Kind
B2
Abstract

A computer-implemented method and system for navigation and display of 3D image data is described. In the method, a 3D image dataset to be displayed is retrieved and a highlight position is identified within the 3D image dataset. A scalar opacity map is calculated for the 3D image dataset, the opacity map having a value for each of a plurality of positions in the 3D image dataset, the respective value being dependent on the respective position relative to the highlight position, and on the value of the 3D image at the respective position relative to the value of the 3D image at the highlight position. The opacity is applied to the 3D image dataset to generate a modified 3D image view.

Claims (20)

1. A computer-implemented method for navigation and display of 3D image data, comprising:

retrieving a 3D image dataset to be displayed;

receiving identification of a highlight position within the 3D image dataset;

calculating a scalar opacity map for the 3D image dataset, the scalar opacity map having a value for each of a plurality of positions in the 3D image dataset, the respective value being dependent on a respective distance from the highlight position, and on the value of the 3D image at the respective position relative to the value of the 3D image at the highlight position; and

applying the opacity to the 3D image dataset to generate a modified 3D image view.

2. The method of claim 1 , wherein the step of calculating uses a masking kernel.

3. The method of claim 2 , wherein the masking kernel is selected from a set including a Gaussian kernel, a kernel based on a uniform/rectangular distribution, a radial basis function, a spherical step function or an exponential distribution.

4. The method of claim 3 , further comprising receiving, via a user interface, the highlight position in the 3D image dataset, the method further comprising calculating the scalar opacity map in dependence on the highlight position, on the 3D image dataset and on the masking kernel.

5. The method of claim 4 , further comprising receiving, via the user interface, parameters for the masking kernel.

6. The method of claim 5 , wherein the user interface comprises a 2D representation of the 3D image dataset.

7. The method of claim 4 , wherein the user interface comprises a 2D representation of the 3D image dataset.

8. The method of claim 1 , wherein the step of calculating uses a predefined shape or a predefined 3D as a masking function.

9. The method of claim 1 , further comprising rendering the modified 3D image as a 2D or 3D image for display to the user.

10. The method of claim 1 , further comprising calculating the scalar opacity map for a region of the 3D image dataset, the region comprising the portion of the 3D image dataset between the highlight position and the edges of the 3D image dataset in a field of view.

11. A system for navigation and display of 3D image data, comprising:

a data repository storing a 3D image dataset to be displayed;

a user interface configured to receive identification of a highlight position within the 3D image dataset; and

a processor configured to calculate a scalar opacity map for the 3D image dataset, the scalar opacity map having a value for each of a plurality of positions in the 3D image dataset, the respective value being dependent on a respective distance from the highlight position, and on the value of the 3D image at the respective position relative to the value of the 3D image at the highlight position and apply the opacity to the 3D image dataset to generate a modified 3D image view.

12. The system of claim 11 , wherein the system is configured to receive, via the user interface, tuneable parameters for the masking kernel, the processor being configured to apply the received parameters when calculating the scalar opacity map.

13. The system of claim 12 , wherein the user interface includes a 2D display showing a representation of the 3D image dataset, the system being configured to receive a designation of the highlight position via the 2D displayed representation.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 19, 2024
From: SIMPSON, JOHN
To: GUY’S AND ST THOMAS’ NHS FOUNDATION TRUST
Reel/Frame 067169/0467 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 19, 2024
From: HERRERO, ALBERTO GOMEZ; WHEELER, GAVIN; SCHNABEL, JULIA; PUSHPARAJAH, KUBERAN; TOUSSAINT, NICOLAS; DENG, SHUJIE
To: KING’S COLLEGE LONDON
Reel/Frame 067172/0437 →
Priority Claims (1)
GB 1913832 · Sep 25, 2019 · national
Continuity (1)
Related Publication 20220343605A1 · Oct 27, 2022