METHOD FOR STATISTICALLY RECONSTRUCTING A POLYENERGETIC X-RAY COMPUTED TOMOGRAPHY IMAGE AND IMAGE RECONSTRUCTOR APPARATUS UTILIZING THE METHOD

Patent №

US 6,507,633

Granted

2003-01-14

Filed 2001

Owner

REGENTS OF THE UNIVERSITY OF MICHIGAN, THE

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09784740

A method for statistically reconstructing an X-ray computed tomography image produced by a single X-ray CT scan having a polyenergetic source spectrum and an image reconstructor which utilize a convergent statistical algorithm which explicitly accounts for the polyenergetic source spectrum are provided. First and second related statistical iterative methods for CT reconstruction based on a Poisson statistical model are described. Both methods are accelerated by the use of ordered subsets, which replace sums over the angular index of a sinogram with a series of sums over angular subsets of the sinogram. The first method is generalized to model the more realistic case of polyenergetic computed tomography (CT). The second method eliminates beam hardening artifacts seen when filtered back projection (FBP) is used without post-processing correction. The methods are superior to FBP reconstruction in terms of noise reduction. The method and image reconstructor of the invention are effective in producing corrected images that do not suffer from beam hardening effects.

VisionG06T 12/20A61B 6/027G06T 2211/408G06T 2211/424

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Ownership

REGENTS OF THE UNIVERSITY OF MICHIGAN, THE

assignment · 115560288

Assignors

ELBAKRI, IDRIS A., FESSLER, JEFFREY A.

On an employer assignment, the assignors are typically the inventors.

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