Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8160081 | Magnetic Resonance Imaging | 2012 | 12 Pages |
Abstract
This work addresses the problem of online reconstruction of dynamic magnetic resonance images (MRI). The proposed method reconstructs the difference between the images of previous and current time frames. This difference image is modeled as a rank deficient matrix and is solved from the partially sampled k-space data via nuclear norm minimization. Our proposed method has been compared against state-of-the-art offline and online reconstruction methods. Our method has similar reconstruction accuracy as the offline method and significantly higher accuracy compared to the online technique. It is about an order of magnitude faster than the online technique compared against. Our experimental data consisted of dynamic MRI data that were collected at 6 to 7 frames per second and having resolutions of 128Ã128 and 256Ã256 pixels per frame. Experimental evaluation indicates that our proposed method is capable of reconstructing 128Ã128 images at the rate of 4 frames per second and 256Ã256 images at the rate of 2 frames per second. The previous online method requires about 3.75 s for reconstructing each image. The improvement in reconstruction speed is clearly discernible. Moreover, our method has a reconstruction error that is about half that of the previous online method.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Condensed Matter Physics
Authors
Angshul Majumdar, Rabab K. Ward,