Surface parameter adaptive ultrasound image processing

• US 7,764,818 B2
• Filed: 06/20/2005
• Issued: 07/27/2010
• Est. Priority Date: 06/20/2005
• Status: Active Grant

• Current Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Original Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Inventors: Ustuner, Kutay F., Sumanaweera, Thilaka S.
• Primary Examiner(s): KIM, CHONG R
• Application Number:
  US11/157,412
• Publication Number:
  US 20070014446A1
• Time in Patent Office: 1,863 Days
• Field of Search: None
• US Class Current: 382/131
• CPC Class Codes: G06T 15/08 Volume rendering
• CPC Class Codes: G06T 15/40 Hidden part removal
• CPC Class Codes: G06T 15/50 Lighting effects

Abstract

The depth buffer of a GPU is used to derive a surface normal or other surface parameter, avoiding or limiting computation of spatial gradients in 3D data sets and extra loading of data into the GPU. The surface parameter is used: to add shading with lighting to volume renderings of ultrasound data in real time, to angle correct velocity estimates, to adapt filtering or to correct for insonifying-angle dependent gain and compression. For border detection and segmentation, intersections with a volume oriented as a function of target structure, such as cylinders oriented relative to a vessel, are used for rendering. The intersections identify data for loading into the frame buffer for rendering.

Claims

1. A method for processing ultrasound data as a function of a surface, the method comprising:

writing to a depth buffer of a graphics processing unit as a function of first ultrasound data, the first ultrasound data representing samples in a volume of a patient;

processing second ultrasound data as a function of data from the depth buffer, the data of the depth buffer indicating the surface, the first ultrasound data being the same or different than the second ultrasound data;

generating an image as a function of the processed, second ultrasound data; and

identifying the surface from the data from the depth buffer and determining an orientation of the surface relative to an insonification angle, and wherein processing comprises varying an M- or B-mode imaging parameter as a function of a cosine of difference of the insonification angle and the orientation.

2. The method of claim 1 wherein writing to the depth buffer comprises identifying coordinates of first ultrasound data closest to a viewer and greater than a threshold.

3. The method of claim 1 further comprising:

detecting a surface parameter from the data from the depth buffer;

wherein processing the second ultrasound data comprises processing as a function of the surface parameter.

4. The method of claim 3 wherein detecting the surface parameter comprises detecting a surface normal, surface coordinates, principal curvature direction, Gaussian curvature or combinations thereof.

5. The method of claim 1 further comprising deriving surface information from the data from the depth buffer, and wherein processing comprises shading the second ultrasound data as a function of the surface information.

6. The method of claim 1 wherein processing comprises angle correcting velocity estimates as a function of the data from the depth buffer.

7. The method of claim 1 wherein writing comprises identifying first ultrasound data associated with a series of substantially parallel surfaces corresponding generally to a target surface and writing coordinates of the first ultrasound data closest to a center of the target surface and greater than a threshold, and wherein processing comprises identifying a border as a function of the coordinates.

8. The method of claim 1 further comprising identifying the surface from the data from the depth buffer, and wherein processing comprises filtering the second ultrasound data as a function of the surface.

9. The method of claim 1 wherein processing comprises processing with the graphics processing unit.

10. A method for processing ultrasound data as a function of a surface, the method comprising:

identifying a surface of a specular target from data representing samples in a volume of a patient;

determining an orientation of the surface relative to an insonification angle;

varying an M- or B-mode imaging parameter as a function of a dot product between the insonification angle and the orientation; and

generating an image as a function of the M- or B-mode imaging parameter.

11. The method of claim 10 wherein varying the M- or B-mode imaging parameter comprises correcting brightness as a function of the orientation.

12. The method of claim 10 wherein varying the M- or B-mode imaging parameter comprises correcting gain, compression or both gain and compression as a function of the orientation.

13. The method of claim 10 wherein identifying the surface comprises writing coordinates of first ultrasound data closest to a viewer and greater than a threshold to a depth buffer of a graphics processing unit as a function of first ultrasound data.

14. The method of claim 10 wherein determining the orientation comprises detecting a surface normal, surface coordinates, principal curvature direction, Gaussian curvature or combinations thereof.

15. The method of claim 10 further comprising:

generating the image as an insonification angle dependent gain corrected image, the image generated as a function of the varied M- or B-mode imaging parameter.