Image reconstruction device and image reconstruction method configured to perform iteratively reconstructed image using weight coefficient

摘要

To provide an image reconstruction device capable of creating an image with image quality matching the operator's request when a cross-sectional image is reconstructed through a repeated calculation, the image reconstruction device which performs a repeated calculation on the basis of a difference between calculated projection data and measured projection data, the calculated projection data being obtained by performing a forward projection calculation on a reconstructed image which is reconstructed based on the measured projection data, includes an input section to which an image quality parameter which is considered to be important by an operator is input, a weight calculation section that calculates a weighting coefficient on the basis of the image quality parameter, and a repeated calculation section that performs a repeated calculation on the basis of a value obtained by weighting and adding a pixel value obtained in the previous iteration to a pixel value obtained from now using the weighting coefficient.

主权项

1. An image reconstruction device which generates an iteratively reconstructed image by performing a repeated calculation on the basis of a difference between calculated projection data and measured projection data, the calculated projection data being obtained by performing a forward projection calculation on a reconstructed image which is reconstructed based on the measured projection data, the image reconstruction device comprising:
an input section to which an image quality parameter which is considered to be important by an operator is input; a weight calculation section that calculates a weighting coefficient on the basis of the image quality parameter; and a repeated calculation section that performs a repeated calculation on the basis of a value obtained by weighted addition of a pixel value obtained in the previous iteration and a pixel value obtained from now using the weighting coefficient.