Factor analysis in medical imaging
First Claim
Patent Images
1. A method for estimating kinetic parameters from image data, the method comprising:
- using a processor for executing instructions for,providing a model of kinetic contributions from first and second physiological regions;
grouping voxels of the image data into first and second groups;
determining an average value of the factors associated with the first group, the factors corresponding to blood-flow time activity curves;
incorporating the average value into the model;
estimating the kinetic parameters based on the model;
determining a first seed voxel for which a sum of distances between the first seed voxel and other voxels of the image data is greatest; and
selecting, from ungrouped voxels, a first predefined number of ungrouped voxels that are located nearest to the first seed voxel; and
wherein grouping voxels of the image data into the first group comprises defining a first group that includes the selected ungrouped voxels and the first seed voxel.
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Abstract
A method for processing image data includes estimating initial factor images from image data, transforming the estimated initial factor images by a transformation variable to obtain transformed factor images, providing an objective function that is a function of the transformed factor images, and minimizing the objective function to obtain unique factor images from the estimated initial factor images.
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Citations
12 Claims
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1. A method for estimating kinetic parameters from image data, the method comprising:
- using a processor for executing instructions for,
providing a model of kinetic contributions from first and second physiological regions; grouping voxels of the image data into first and second groups; determining an average value of the factors associated with the first group, the factors corresponding to blood-flow time activity curves; incorporating the average value into the model; estimating the kinetic parameters based on the model; determining a first seed voxel for which a sum of distances between the first seed voxel and other voxels of the image data is greatest; and selecting, from ungrouped voxels, a first predefined number of ungrouped voxels that are located nearest to the first seed voxel; and wherein grouping voxels of the image data into the first group comprises defining a first group that includes the selected ungrouped voxels and the first seed voxel. - View Dependent Claims (2, 3, 4, 5, 6, 7)
- using a processor for executing instructions for,
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8. A method for estimating kinetic parameters from image data, the method comprising:
- using a processor for executing instruction for,
providing a model of kinetic contributions from first and second physiological regions; determining a first seed voxel for which a sum of distances between the first seed voxel and other voxels of the image data is greatest; selecting, from ungrouped voxels, a first predefined number of ungrouped voxels that are located nearest to the first seed voxel; grouping voxels of the image data into first and second groups, wherein the first group includes the selected ungrouped voxels and the first seed voxel; determining an average value of the factors associated with the first group; incorporating the average value into the model; and estimating the kinetic parameters based on the model. - View Dependent Claims (9, 10)
- using a processor for executing instruction for,
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11. A method for estimating kinetic parameters from image data, the method comprising:
- using a processor for executing instructions for,
providing a model of kinetic contributions from first and second physiological regions; determining a first seed voxel for which a sum of distances between the first seed voxel and other voxels of the image data is greatest; determining ungrouped voxels located within a minimum distance from the first seed voxel; grouping voxels of the image data into the first group and second groups, wherein the first group includes the selected ungrouped voxels and the first seed voxel; determining an average value of the factors associated with the first group; incorporating the average value into the model; and estimating the kinetic parameters based on the model.
- using a processor for executing instructions for,
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12. The method for estimating kinetic parameters from image data, the method comprising:
- using a processor for executing instructions for,
providing a model of kinetic contributions from first and second physiological regions, wherein providing the model includes selecting the model to be a two-compartment model of myocardial factors and of kinetic contributions from a left ventricle and a right ventricle; grouping voxels of the image data into first and second groups; determining an average value of the factors associated with the first group; incorporating the average value into the model; and estimating the kinetic parameters based on the model, wherein estimating the kinetic parameters includes determining extraction and egress rates of transport between myocardial tissue and freely diffusible space.
- using a processor for executing instructions for,
Specification