Granted Patent B2

US 8,824,753 · App. 13/267,017 · Granted Sep 2, 2014

Abstract

Claims (34)

1. A method for noise suppression in a 3-D volume image, executed at least in part on a logic processor, comprising:

obtaining the 3-D volume image;

applying diffusion with semi-locally adaptive scale to the 3-D volume image according to a parameter that relates to image scale and is specified in an operator instruction; and

displaying, storing, or transmitting the 3-D volume image modified according to the applied diffusion.

2. The method of claim 1 wherein the parameter that is specified in the operator instruction further relates to an estimated intensity homogeneity value.

3. The method of claim 1 wherein the parameter that is specified in the operator instruction further relates to a number of iterations for applying at least a portion of the diffusion processing.

4. The method of claim 1 wherein the parameter that is specified in the operator instruction relates to a clinical task.

5. The method of claim 1 wherein the parameter that is specified in the operator instruction further relates to one or more tissue or bone features of interest.

6. The method of claim 1 wherein applying diffusion to the volume image comprises applying diffusion at a variable scale.

7. The method of claim 1 further comprising simultaneously adjacently displaying the volume image with diffusion and the volume image without diffusion.

8. The method of claim 1 wherein applying diffusion further comprises merging results obtained from successive iterations.

9. A method for processing a 3-D medical image, comprising:

obtaining the 3-D medical image;

processing the obtained 3-D image by applying a stabilized diffusion process with semi-locally adaptive scale using a succession of different scale values and merging results obtained using the different scale values; and

displaying, storing, or transmitting the processed 3-D image at one or more of the succession of scale values.

10. The method of claim 9 wherein the different scale values are determined according to homogeneity within the image.

11. The method of claim 9 wherein obtaining the 3-D medical image comprises obtaining the image from an image data storage system and wherein data stored with the obtained image identifies a clinical task for the medical image and wherein the step of applying diffusion is carried out according to the identified clinical task.

12. A method for noise suppression in a 3-D volume image, comprising:

obtaining and displaying the 3-D volume image;

accepting an operator-supplied instruction for processing the 3-D volume image, wherein the operator instruction relates to an image scale;

applying a noise-resistant stabilized diffusion filtering with semi-locally adaptive scale to the volume image according to the image scale from the operator-supplied instruction; and

displaying, storing, or transmitting the 3-D volume image modified according to the applied stabilized diffusion.

13. The method of claim 12 wherein accepting the operator-supplied instruction includes:

displaying a plurality of clinical tasks; and

allowing the operator to select one of the displayed plurality of clinical tasks.

14. A method for noise suppression in a 3-D volume image, comprising:

obtaining the 3-D volume image;

generating a diffused 3-D volume image by automatically applying diffusion filtering with semi-locally adaptive scale according to a parameter specified in an operator-supplied instruction, the parameter being related to (a) a clinical task or (b) a tissue or bone feature of interest; and

displaying, storing, or transmitting the diffused 3-D volume image.

15. The method of claim 14 , further comprising providing a control element which allows for dynamic selection of the parameter by the operator.

16. The method of claim 15 , wherein the control element is a slider bar.

17. The method of claim 14 , further comprising providing a control element which allows for dynamic selection of a parameter which relates to a number of iterations for applying at least a portion of the diffusion filtering.

18. The method of claim 1 wherein the parameter is specified by displaying a plurality of clinical tasks and an operator selecting one or more of the plurality of clinical tasks.

19. The method of claim 1 wherein the image is a dental image, and the operator instruction relates to one of the following: tooth fracture, tissue exam, tooth structure, lesion, bone detail, root morphology, or bone strength.

Assignments (8)