TY - JOUR
T1 - Multiresolution reconstruction of real-time MRI with motion compensated compressed sensing
T2 - application to 2D free-breathing cardiac MRI
AU - Royuela-del-Val, Javier
AU - Usman, Muhammad
AU - Cordero Grande, Lucilio
AU - Martín-Fernández, Marcos
AU - Simmross-Wattenberg, Federico
AU - Prieto Vasquez, Claudia
AU - Alberola-Lopez, Carlos
PY - 2016/6/15
Y1 - 2016/6/15
N2 - Real-Time (RT) MRI is a novel noninvasive imaging technique that allows the visualization of physiological processes with both good spatial and temporal resolutions. However, the reconstruction of images from highly undersampled data, needed to perform RT imaging, remains challenging. Recently, the combination of Compressed Sensing theory with motion compensation techniques has shown to achieve better results than previous methods. In this work we describe a RT MRI algorithm based on the acquisition of the k-space data following a Golden Radial trajectory, Compressed Sensing reconstruction and a groupwise temporal registration algorithm for the estimation and compensation of the motion in the image, all this embedded within a temporal multiresolution scheme. We have applied the proposed method to the reconstruction of free-breathing acquisition of short axis views of the heart, achieving a temporal resolution of 25ms corresponding to an acceleration factor of 28 with respect to fully sampled Cartesian acquisitions.
AB - Real-Time (RT) MRI is a novel noninvasive imaging technique that allows the visualization of physiological processes with both good spatial and temporal resolutions. However, the reconstruction of images from highly undersampled data, needed to perform RT imaging, remains challenging. Recently, the combination of Compressed Sensing theory with motion compensation techniques has shown to achieve better results than previous methods. In this work we describe a RT MRI algorithm based on the acquisition of the k-space data following a Golden Radial trajectory, Compressed Sensing reconstruction and a groupwise temporal registration algorithm for the estimation and compensation of the motion in the image, all this embedded within a temporal multiresolution scheme. We have applied the proposed method to the reconstruction of free-breathing acquisition of short axis views of the heart, achieving a temporal resolution of 25ms corresponding to an acceleration factor of 28 with respect to fully sampled Cartesian acquisitions.
KW - magnetic resonance imaging (MRI)
KW - compressive sensing & sampling
KW - image reconstruction
KW - analytical & iterative methods
UR - http://www.scopus.com/inward/record.url?scp=84978435554&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2016.7493318
DO - 10.1109/ISBI.2016.7493318
M3 - Conference paper
VL - 2016-June
SP - 506
EP - 509
JO - International Symposium on Biomedical Imaging (ISBI)
JF - International Symposium on Biomedical Imaging (ISBI)
M1 - 7493318
ER -