IP Library Granted Patent US 9,558,570
Granted Patent B2
US 9,558,570 · App. 14/784,714 · Granted Jan 31, 2017

Iterative reconstruction for X-ray computed tomography using prior-image induced nonlocal regularization

Inventors: Jerome Z. Liang (Stony Brook, NY); Jianhua Ma (Stony Brook, NY); Hao Zhang (Stony Brook, NY); William Moore (Setauket, NY); Hao Han (Staten Island, NY)
Assignee: The Research Foundation for the State University of New York
G06T11/006A61B6/5258A61B6/583G06T2211/424
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Quick Facts
Patent No.
US 9,558,570
App. No.
14/784,714
Granted
Jan 31, 2017
Kind
B2
Abstract

Disclosed is a method for performing X-ray Computed Tomography scanning, the method including acquiring a plurality of images of an object, obtaining an initial image from the plurality of images, calculating NonLocal weight of the initial image, utilizing a current image estimation and registered prior image, performing a successive over-relaxation optimization to yield a new image estimation with an intensity of the new image estimation equal or greater than zero, performing a cycle update, generating an image of the object utilizing the new image estimation obtained from the optimization, and outputting a resultant image.

Claims (149)

1. A method for operating an X-ray Computed Tomography (CT) scanning device, the method comprising:

acquiring, by the CT scanning device, a plurality of images of an object;

obtaining an initial image from the plurality of images;

performing a calculation of NonLocal (NL) weight utilizing a current image estimation and a registered prior image;

performing a Successive Over-Relaxation (SOR) optimization to yield a new image estimation, with an intensity of the new image estimation being equal or greater than zero;

performing a cycle update that repeats the obtaining of the initial image, the performing of the NL weight calculation, and the SOR optimization;

generating an image of the object utilizing the new image estimation obtained from the SOR optimization; and

outputting a resultant image when a stop criterion is met.

2. The method of claim 1 , further comprising performing a prior-image induced NL regularization utilizing a potential function of:

R

PINL

(

μ

)

=

j

k

N

j

w

(

k

,

j

)

(

μ

j

-

μ

prior

,

k

reg

)

2

,

where μ prior reg denotes the registered prior image between a prior image μ prior and a current image, and N j denotes a search-window.

3. The method of claim 1 , wherein the SOR optimization yields a new image estimation according to:

μ

~

j

m

+

1

=

H

j

T

Σ

-

1

r

m

+

S

j

μ

j

m

+

β

k

N

j

w

(

k

,

j

)

μ

prior

,

k

reg

S

j

+

β

k

N

j

w

(

k

,

j

)

,

μ

j

m

+

1

=

max

{

0

,

(

1

-

ω

)

μ

j

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μ

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with r m =y−Hμ m being a residual between obtained sinogram data and an estimated one in an m-th iteration, S j =H j T Σ −1 H j , and a relax factor ω satisfies 0≦ω≦1.

4. The method of claim 1 , wherein the output resultant image is utilized for one of lung nodule surveillance, image-guided biopsy needle, and volumetric Cone Beam CT imaging performed during a radiation therapy course.

Assignments (2)
CONFIRMATORY LICENSE Recorded Oct 28, 2015
From: STATE UNIVERSITY NEW YORK STONY BROOK
To: NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT
Reel/Frame 036988/0369 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 27, 2015
From: LIANG, JEROME Z.; MA, JIANHUA; ZHANG, HAO; MOORE, WILLIAM; HAN, HAO
To: THE RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK
Reel/Frame 036892/0068 →
Continuity (4)
Provisional Application 61812506 · Apr 16, 2013
Provisional Application 61975245 · Apr 4, 2014
Provisional Application 61975254 · Apr 4, 2014
Related Publication 20160055658A1 · Feb 25, 2016