Real‐time dynamic <scp>MR</scp> image reconstruction using compressed sensing and principal component analysis (<scp>CS</scp>‐<scp>PCA</scp>): Demonstration in lung tumor tracking

Abstract

A real-time reconstruction technique was developed for adaptive radiotherapy using a Linac-MRI system. Our CS-PCA algorithm can achieve tumor contours with DC greater than 0.9 and NMSE less than 0.06 at acceleration factors of up to, and including, 10×. The reconstruction speed for the Split Bregman CS ranged from 200 to 260 ms, whereas the CS-PCA reconstruction speed ranged from 5 to 20 ms implemented using nonoptimized MATLAB code.