IP Library Granted Patent US 10,839,498
Granted Patent B2
US 10,839,498 · App. 16/015,816 · Granted Nov 17, 2020

Method and apparatus for generating a set of processed images

Inventor: Michael Manhart (Fürth, DE)
Assignee: Siemens Healthcare GmbH
G06T5/50A61B6/481A61B6/5241G06T3/0068G06T5/002G06T5/20G06T7/0012A61B6/504G06T7/30G06T2207/10116G06T2207/20024G06T2207/20224G06T2207/30004
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Quick Facts
Patent No.
US 10,839,498
App. No.
16/015,816
Granted
Nov 17, 2020
Kind
B2
Abstract

A method and an apparatus for generating a set of processed images of an object from overlapping raw images are provided. The raw images are aligned so that pixels representing a same part of the picture object in different raw images are aligned forming a respective pixel stack for each pictured part of the object. At least one mask image is then generated by a maximum intensity projection through the pixel stacks. The set of processed images is then generated from the raw images using the at least one mask image.

Claims (39)

1. A method for generating a set of processed images of an object from overlapping raw images, wherein the overlapping raw images are obtained by a single contrast run, the method comprising:

aligning the overlapping raw images so that pixels representing a same part of the object in different raw images are aligned forming a respective pixel stack for each pictured part of the object;

generating at least one mask image by a maximum intensity projection through the pixel stacks of the aligned overlapping raw images; and

generating the set of processed images from the overlapping raw images using the at least one mask image.

2. The method of claim 1 , further comprising:

generating at least one noise-reduced mask image from the aligned overlapping raw images, the generating of the at least one noise-reduced mask image comprising:

discarding all pixels from the pixel stacks having intensity values lower than a predetermined threshold value; and

calculating a weighted average of the intensity values of the remaining pixels of each of the pixel stacks to generate the at least one noise-reduced mask image,

wherein generating the set of processed images comprises subtracting the at least one noise-reduced mask image from each corresponding raw image of the overlapping raw images.

3. The method of claim 2 , wherein the at least one mask image is used as a reference for generating the at least one noise-reduced mask image.

4. The method of claim 1 , further comprising applying a noise-reducing filter to the overlapping raw images before generating the set of processed images.

5. The method of claim 1 , wherein generating the set of processed images comprises applying a noise-reducing filter after the at least one mask image is used.

6. The method of claim 1 , wherein a detector used to capture the overlapping raw images is moved continuously during the single contrast run to obtain the overlapping raw images.

7. The method of claim 1 , wherein an absorbed dose per raw image is varied over the single contrast run in dependence of a respective number of times a respective part of the object is imaged during the single contrast run.

8. The method of claim 1 , wherein a value of at least one acquisition parameter used for obtaining the overlapping raw images by the single contrast run is changed during the single contrast run,

wherein the respective overlapping raw images are grouped corresponding to different values of the acquisition parameter, and

wherein each group of the overlapping raw images is processed separately.

9. The method of claim 1 , wherein aligning the overlapping raw images comprises aligning the overlapping raw images using a registration algorithm.

10. An apparatus for generating a set of processed images of an object from overlapping raw images, wherein the overlapping raw images are obtained by a single contrast run, and wherein the apparatus comprises:

an alignment unit configured to align the overlapping raw images so that pixels representing a same part of the object in different raw images of the overlapping raw images are aligned forming a respective pixel stack for each pictured part of the object;

a mask generation unit configured to generate at least one mask image by a maximum intensity projection through the pixel stacks of the aligned overlapping raw images; and

an image processor configured to generate the set of processed images from the overlapping raw images using the at least one mask image.

11. The apparatus of claim 10 , further comprising an imaging device and a feeding mechanism,

wherein the feeding mechanism is configured to perform a relative movement between the object and the imaging device to execute the single contrast run, and

wherein the apparatus is configured to obtain the overlapping raw images using the imaging device.

12. A non-transitory computer-readable storage medium that stores instructions executable by a processor to generate a set of processed images of an object from overlapping raw images, wherein the overlapping raw images are obtained by a single contrast run, the instructions comprising:

aligning the overlapping raw images so that pixels representing a same part of the object in different raw images are aligned forming a respective pixel stack for each pictured part of the object;

generating at least one mask image by a maximum intensity projection through the pixel stacks of the aligned overlapping raw images; and

generating the set of processed images from the overlapping raw images using the at least one mask image.

13. The non-transitory computer-readable storage medium of claim 12 , wherein the instructions further comprise:

generating at least one noise-reduced mask image from the aligned overlapping raw images, the generating of the at least one noise-reduced mask image comprising:

discarding all pixels from the pixel stacks having intensity values lower than a predetermined threshold value; and

calculating a weighted average of the intensity values of the remaining pixels of each of the pixel stacks to generate the at least one noise-reduced mask image,

wherein generating the set of processed images comprises subtracting the at least one noise-reduced mask image from each corresponding raw image of the overlapping raw images.

14. The non-transitory computer-readable storage medium of claim 13 , wherein the at least one mask image is used as a reference for generating the at least on noise-reduced mask image.

15. The non-transitory computer-readable storage medium of claim 12 , wherein the instructions further comprise applying a noise-reducing filter to the overlapping raw images before generating the set of processed images.

16. The non-transitory computer-readable storage medium of claim 12 , wherein generating the set of processed images comprises applying a noise-reducing filter after the at least one mask image is used.

17. The non-transitory computer-readable storage medium of claim 12 , wherein a detector used to capture the overlapping raw images is moved continuously during the single contrast run to obtain the overlapping raw images.

18. The non-transitory computer-readable storage medium of claim 12 , wherein an absorbed dose per raw image is varied over the single contrast run in dependence of a respective number of times a respective part of the object is imaged during the single contrast run.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 20, 2023
From: SIEMENS HEALTHCARE GMBH
To: SIEMENS HEALTHINEERS AG
Reel/Frame 066267/0346 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 29, 2018
From: MANHART, MICHAEL
To: SIEMENS HEALTHCARE GMBH
Reel/Frame 046739/0854 →
Priority Claims (1)
EP 17177310 · Jun 22, 2017 · regional
Continuity (1)
Related Publication 20180374204A1 · Dec 27, 2018