Patent Number: 
Section: claims

1. A method of estimating a noise map from reconstructed images, comprising:acquiring data for a predetermined first number of views;grouping the views into two groups with some of the views that are correlated between the two groups, one of the two groups having a predetermined second number of the views, the other one of the two groups having a predetermined third number of the views, either one of the predetermined second number and the predetermined third number being less than the predetermined first number of the views;reconstructing two images from the two groups of the views; and estimating variance based upon the two reconstructed images and a weight. 2. The method of estimating a noise map from reconstructed images according to claim 1 wherein the other one of the predetermined second number and the predetermined third number equals to the predetermined first number of the views. 3. The method of estimating a noise map from reconstructed images according to claim 1 wherein the variance is determined according toVar{F}=n/m−nVar{F−X}where F is a first reconstructed image based upon the predetermined first number m of the views, X is a second reconstructed image based upon the predetermined second number n of the views that is less than the predetermined first number m. 4. A method of estimating a noise map from reconstructed images, comprising:acquiring data for a predetermined first number of views;grouping the views into a predetermined second number of at least two groups with an unequal number of the views that are independent in each of the groups;reconstructing an image for each of the groups; andestimating variance based upon a sum of variance in intermediate images each generated by a difference between all combinations of two of the reconstructed images. 5. The method of estimating a noise map from reconstructed images according to claim 4 wherein the predetermined second number of the groups is at least three. 6. The method of estimating a noise map from reconstructed images according to claim 4 wherein the predetermined second number of the groups is two while the predetermined first number of views is m. 7. The method of estimating a noise map from reconstructed images according to claim 6 wherein the variance is determined according toVar{F}=(m−n)n/m2Var{Y−X}where F is a reconstructed image based upon two reconstructed images X and Y, which are respectively reconstructed from n images and m-n images, the n being smaller than the m. 8. A system for estimating a noise map from reconstructed images, comprising:a scanner for acquiring data for a predetermined first number of views;an image data processor connected to said scanner for grouping the views into two groups with some of the views that are correlated between the two groups, one ofthe two groups having a predetermined second number of the views, the other one of the two groups having a predetermined third number of the views, either one of the predetermined second number and the predetermined third number being less than the predetermined first number of the views;an image reconstructing unit connected to said image data processor for reconstructing two images from the two groups of the views; anda variance estimation unit connected to said image reconstructing unit for estimating variance based upon the two reconstructed images and a weight. 9. The system for estimating a noise map from reconstructed images according to claim 8 wherein the other one of the predetermined second number and the predetermined third number equals to the predetermined first number of the views. 10. The system for estimating a noise map from reconstructed images according to claim 8 wherein the variance is determined according toVar{F}=n/m−nVar{F−X}where F is a first reconstructed image based upon the predetermined first number m of the views, X is a second reconstructed image based upon the predetermined second number n of the views that is less than the predetermined first number m. 11. A system for estimating a noise map from reconstructed images, comprising:a scanner for acquiring data for a predetermined first number of views;an image data processor connected to said scanner for grouping the views into a predetermined second number of at least two groups with an unequal number of the views that are independent in each of the groups;an image reconstructing unit connected to said image data processor for reconstructing an image for each of the groups; anda variance estimation unit connected to said image reconstructing unit for estimating variance based upon a sum of variance in intermediate images each generated by a difference between all combinations of two of the reconstructed images. 12. The system for estimating a noise map from reconstructed images according to claim 11 wherein the predetermined second number of the groups is at least three. 13. The system for estimating a noise map from reconstructed images according to claim 11 wherein the predetermined second number of the groups is two while the predetermined first number of views is m. 14. The system for estimating a noise map from reconstructed images according to claim 13 wherein the variance is determined according toVar{F}=(m−n)n/m2Var{Y−X}where F is a reconstructed image based upon two reconstructed images X and Y, which are respectively reconstructed from n images and m−n images, the n being smaller than the m.