IP Library Granted Patent US 9,916,661
Granted Patent B2
US 9,916,661 · App. 15/019,198 · Granted Mar 13, 2018

Image processing apparatus, image processing method, and magnetic resonance imaging system

Inventor: Guang Li (Beijing, CN)
Assignee: TOSHIBA MEDICAL SYSTEMS CORPORATION
G06T7/003A61B5/7271G06T5/006G06T5/50G06T7/337G06T2207/10016G06T2207/10092G06T2207/20216
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Quick Facts
Patent No.
US 9,916,661
App. No.
15/019,198
Granted
Mar 13, 2018
Kind
B2
Abstract

An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry selects from a plurality of diffusion-weighted images with different applied directions of a motion probing gradient magnetic field pulse or different diffusion sensitive coefficients, a diffusion-weighted image that conforms to a predetermined condition. The processing circuitry configured to register the selected diffusion-weighted image with a reference image for which the diffusion sensitive coefficient being set to a reference value to correct the selected diffusion-weighted image. The processing circuitry configured to register the corrected diffusion-weighted image with each of the other diffusion-weighted images of the plurality of diffusion-weighted images to correct each of the other diffusion-weighted images.

Claims (27)

1. An image processing apparatus comprising processing circuitry configured to:

Select, from a plurality of diffusion-weighted images with different applied directions of a motion probing gradient magnetic field pulse or different diffusion sensitive coefficients, a diffusion-weighted image based on a predetermined condition which includes structural sharpness or similarity between each of the plurality of diffusion-weighted images and a reference image for which the diffusion sensitive coefficient is set to a reference value;

register the selected diffusion-weighted image with a reference image to correct the selected diffusion-weighted image; and

register the corrected diffusion-weighted image with each of the other diffusion-weighted images of the plurality of diffusion-weighted images to correct each of the other diffusion-weighted images.

2. The image processing apparatus according to claim 1 , wherein the processing circuitry is configured to correct the selected diffusion-weighted image by using an image with the diffusion sensitive coefficient set to zero as the reference image.

3. The image processing apparatus according to claim 2 , wherein the processing circuitry is further configured to estimate structural sharpness of each diffusion-weighted image according to local variogram of each of the plurality of diffusion-weighted images.

4. The image processing apparatus according to claim 2 , wherein the processing circuitry is further configured to

determine an average image of at least some of the diffusion-weighted images among the plurality of diffusion-weighted images; and

estimate distortion degree of each diffusion-weighted image according to each of the plurality of diffusion-weighted images and the average image.

5. The image processing apparatus according to claim 4 , wherein the processing circuitry is configured to

estimate an offset component of the distortion degree of each diffusion-weighted image according to the difference between a position of centroid point of each of the plurality of diffusion-weighted images and that of the average image; and

estimate a rotation component of the distortion degree of each diffusion-weighted image according to the difference between an angle of a principle axis of each of the plurality of diffusion-weighted images and that of the average image.

6. The image processing apparatus according to claim 1 , wherein the processing circuitry selects the diffusion-weighted image based on distortion degree and the structural sharpness for each of the plurality of diffusion-weighted images as the predetermined condition.

7. The image processing apparatus according to claim 6 , wherein the processing circuitry is further configured to

determine an average image of at least some of the diffusion-weighted images among the plurality of diffusion-weighted images; and

estimate the structural sharpness of each diffusion-weighted image according to each of the plurality of diffusion-weighted images and the average image.

8. The image processing apparatus according to claim 7 , wherein the processing circuitry estimates the structural sharpness of each diffusion-weighted image according to sum of squared difference between each diffusion-weighted image and the average image.

9. The image processing apparatus according to claim 1 , wherein the processing circuitry is further configured to determine the similarity and select the diffusion-weighted image according to the similarity as the predetermined condition.

10. An image processing apparatus according to claim 1 , wherein the processing circuitry is further configured to generate a diffusion tensor image by using the plurality of diffusion-weighted images corrected.

11. A magnetic resonance imaging (MRI) system comprising processing circuitry configured to:

select, from a plurality of diffusion-weighted images with different applied directions of a motion probing gradient magnetic field pulse or different diffusion sensitive coefficients, a diffusion-weighted image based on a predetermined condition which includes structural sharpness or similarity between each of the plurality of diffusion-weighted images and a reference image for which the diffusion sensitive coefficient is set to a reference value;

register the selected diffusion-weighted image with the reference image to correct the selected diffusion-weighted image; and

register the corrected diffusion-weighted image with each of the other diffusion-weighted images of the plurality of diffusion-weighted images to correct each of the other diffusion-weighted images.

12. An image processing method comprising:

Selecting, from a plurality of diffusion-weighted image with different applied directions of a motion probing gradient magnetic field pulse or different diffusion sensitive coefficients, a diffusion-weighted image based on a predetermined condition which includes structural sharpness or similarity between each of the plurality of diffusion-weighted images and a reference image for which the diffusion sensitive coefficient is set to a reference value;

registering the selected diffusion-weighted image with the reference image to correct the selected diffusion-weighted image; and

registering the corrected diffusion-weighted image with each of the other diffusion-weighted images of the plurality of diffusion-weighted images to correct each of the other diffusion-weighted images.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 27, 2016
From: KABUSHIKI KAISHA TOSHIBA
To: TOSHIBA MEDICAL SYSTEMS CORPORATION
Reel/Frame 038831/0922 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 10, 2016
From: LI, GUANG
To: KABUSHIKI KAISHA TOSHIBA; TOSHIBA MEDICAL SYSTEMS CORPORATION
Reel/Frame 037696/0511 →
Priority Claims (2)
CN 2015 1 0075935 · Feb 12, 2015 · national
JP 2015-224214 · Nov 16, 2015 · national
Continuity (1)
Related Publication 20160239951A1 · Aug 18, 2016