Local motion compensation based on list mode data
AssigneePhilips Intellectual Property & Standards GmbH
InventorsMarc Busch, Ralph Brinks, Carsten Meyer
Life of this patent
Estimating the term…
Abstract
Abstract: A method for locally correcting motion in an image reconstructed by a reconstruction system (42) of an imaging system (10) with raw data includes estimating a characteristic feature of a region of interest within the reconstructed image from the raw data, correcting the raw data associated with the region of interest for motion with the estimated region characteristic feature, and reconstructing a motion-corrected image corresponding to the region of interest with the corrected raw data.
Claims39
A method for correcting motion in an image reconstructed from raw data, comprising:
- estimating a characteristic feature of a region of interest within the reconstructed image from the raw data;
- correcting the raw data associated with the region of interest for motion with the estimated region characteristic feature;
- and
- reconstructing a motion-corrected image corresponding to the region of interest with the corrected raw data.
A medical imaging system that corrects motion in a reconstructed image with data used to reconstruct the image, comprising:
- a plurality of detectors that detect electron-positron annihilation events;
- a coincident detector that identifies pairs of substantially simultaneous coincident events within the electron-positron annihilation events;
- a line of response processor that processes the events and identifies lines of responses that connect events within each coincident event pair;
- and
- one or more processors programmed to:
- estimate a characteristic feature for the region of interest from the lines of response,
- motion-correct the lines of response corresponding to the region of interest, and
- reconstruct a motion corrected image corresponding to the region of interest from the motion corrected lines of response.
A computer implemented program for performing the steps of:
- generating a plurality of intermediate regions of interest images from an motion-blurred region of interest for a number of short time frames;
- adjusting, for each of the plurality of intermediate regions of interest images, a voxel value for one or more voxels that reside inside a region of interest and that intersect a corresponding line of response;
- computing a center of mass for each of the intermediate regions of interest images;
- combining the individual center of masses to compute an aggregate center of mass for a full time range of an acquisition;
- computing a difference between each center of mass and the aggregated center of mass;
- computing a motion correction translation vector based on the differences;
- correcting data corresponding to the region of interest for motion by shifting lines of response in the data by an amount given by the motion correction translation vector;
- and
- reconstructing a motion-corrected image corresponding to the region of interest with the corrected data.
A computer implemented program for performing the steps of:
- computing a vector that represents a center point of a shortest line segment connecting a pair of lines of response;
- computing the temporal motion of the center of mass from a distribution of center points in the region of interest;
- correcting the data for motion by shifting lines of response in the original data to the overall center of mass;
- and
- reconstructing a motion-corrected image corresponding to the region of interest with the corrected data.
A method of forming a motion corrected image, comprising:
- defining a region of interest within an uncorrected image;
- and
- correcting the region of interest for differences caused by local motion by calculating a translation vector based on changes in a center of mass of the region of interest.
A method for locally correcting motion in an image, comprising:
- localizing a region of interest within an uncorrected image;
- correcting the localized region of interest for motion based on a characteristic feature of the localized region of interest;
- and
- forming a corrected image by replacing the localized uncorrected region of interest with the localized corrected region of interest.
Dependencies are inferred from the claim text.