Fast statistical imaging reconstruction via denoised ordered-subset statistically-penalized algebraic reconstruction technique

摘要

Described here are systems and methods for iteratively reconstructing images from data acquired using a medical imaging system. The image reconstruction is decomposed into separate linear sub-problems that can be more efficiently solved. A statistical image reconstruction process is decomposed into a statistically-weighted algebraic reconstruction update sequence. After this step, the reconstructed image is denoised using a regularization function.

主权项

1. A method for reconstructing an image of a subject using a medical imaging system, the steps of the method comprising:
a) acquiring data from the subject using the medical imaging system; b) reconstructing an image of the subject from the acquired data using an iterative statistical image reconstruction that is decomposed to include in each iteration an image reconstruction step without regularization and a denoising step that includes regularization.