IP Library › Granted Patent US 9,406,107
Granted Patent B2
US 9,406,107 · App. 14/132,321 · Granted Aug 2, 2016

System and method of computed tomography signal restoration via noise reduction

Inventors: Jiahua Fan (Waukesha, WI); Meghan L. Yue (Waukesha, WI); Jiang Hsieh (Waukesha, WI); Roman Melnyk (Waukesha, WI); Masatake Nukui (Hino, JP); Yujiro Yazaki (Hino, JP)
Assignee: GENERAL ELECTRIC COMPANY
G06T5/002A61B6/03A61B6/5205A61B6/5258G06T11/005A61B6/482A61B6/582G01N2223/401G01N2223/419G06T2207/10081G06T2207/20182
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Quick Facts
Patent No.
US 9,406,107
App. No.
14/132,321
Filed
Dec 18, 2013
Granted
Aug 2, 2016
Kind
B2
Examiner
TRAN, MAI H
Art Unit
2669
USPC
382/131
Abstract

An imaging system includes a computer programmed to estimate noise in computed tomography (CT) imaging data, correlate the noise estimation with neighboring CT imaging data to generate a weighting estimation based on the correlation, de-noise the CT imaging data based on the noise estimation and on the weighting, and reconstruct an image using the de-noised CT imaging data.

Claims (42)

1. An imaging system comprising a computer programmed to:

perform an air calibration step on computed tomography (CT) imaging data, wherein the CT imaging data comprises projection measurement data;

estimate noise in the projection measurement data;

correlate the noise estimation with neighboring projection measurement data to generate a weighting estimation based on the correlation;

de-noise the projection measurement data based on the noise estimation and on the weighting;

calculate a negative logarithm of the projection measurement data;

apply a mean preservation to the projection measurement data after calculating the negative logarithm; and

reconstruct an image using the de-noised projection measurement data.

2. The imaging system of claim 1 , wherein the computer is further programmed to estimate the noise based on a variance of each measurement using an x-ray count.

3. The imaging system of claim 2 , wherein the computer is further programmed to estimate the variance based on an assumed Poisson distribution.

4. The imaging system of claim 2 , wherein the computer is further programmed to correlate the noise estimation based on at least one of a view, a channel, and a row of CT imaging data in projection space.

5. The imaging system of claim 1 , wherein after the image is reconstructed, the computer is further programmed to estimate noise in image space.

6. The imaging system of claim 1 , wherein the computer is further programmed to correlate a noise estimate in a 3D image volume measured among one of a neighboring pixel or a neighboring patch of pixels.

7. The imaging system of claim 1 , wherein the imaging system is a CT system that includes:

a rotatable gantry for receiving an object to be scanned;

a generator configured to energize an x-ray source to generate x-rays; and

a detector positioned to receive the x-rays that pass through the object.

8. A method of imaging data processing, comprising:

performing an air calibration step on computed tomography (CT) imaging data, wherein the CT imaging data comprises projection measurement data;

estimating noise in the projection measurement data;

correlating the noise estimation with neighboring projection measurement data;

generating a weighting estimation based on the correlation;

de-noising the projection measurement data based on the estimated noise and on the weighting estimation;

calculating a negative logarithm of the projection measurement data;

applying a mean preservation to the projection measurement data after calculating the negative logarithm; and

reconstructing an image using the de-noised projection measurement data.

9. The method of claim 8 , further comprising estimating the noise based on a variance of each measurement using an x-ray count.

10. The method of claim 9 , further comprising estimating the variance based on an assumed Poisson distribution.

11. The method of claim 9 , further comprising correlating the noise estimation based on at least one of a view, a channel, and a row of CT imaging data in projection space.

12. The method of claim 8 , further comprising estimating a noise term after the image is reconstructed and in image space.

13. The method of claim 8 , further comprising correlating a noise estimate in a 3D image volume measured among one of a neighboring pixel or a neighboring patch of pixels.

14. A non-transitory computer readable storage medium having stored thereon a computer program comprising instructions, which, when executed by a computer, cause the computer to:

perform an air calibration step on computed tomography (CT) imaging data, wherein the CT imaging data comprises projection measurement data

estimate noise in the projection measurement data;

correlate the noise estimation with neighboring projection measurement data to generate a weighting estimation based on the correlation;

de-noise the projection measurement data based on the estimation and on the weighting;

calculate a negative logarithm of the projection measurement data;

apply a mean preservation to the projection measurement data after calculating the negative logarithm; and

reconstruct an image using the de-noised projection measurement data.

15. The non-transitory computer readable storage medium of claim 14 , wherein the computer is further caused to estimate the noise based on a variance of each measurement using an x-ray count, and based on an assumed Poisson distribution.

16. The non-transitory computer readable storage medium of claim 14 , wherein the computer is further programmed to estimate noise in image space.

17. The non-transitory computer readable storage medium of claim 14 , wherein the computer is further caused to correlate a noise estimate in a 3D image volume measured among one of a neighboring pixel or a neighboring patch of pixels.

Assignments (2)
NUNC PRO TUNC ASSIGNMENT Recorded May 8, 2025
From: GENERAL ELECTRIC COMPANY
To: GE PRECISION HEALTHCARE LLC
Reel/Frame 071225/0218 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 18, 2013
From: FAN, JIAHUA; YUE, MEGHAN LYNN; HSIEH, JIANG; MELNYK, ROMAN; NUKUI, MASATAKE; YAZAKI, YUJIRO
To: GENERAL ELECTRIC COMPANY
Reel/Frame 031807/0806 →
Continuity (1)
Related Publication 20150170341A1 · Jun 18, 2015