TY - JOUR
T1 - Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweighting
AU - Ma, Jackie
AU - März, Maximilian
AU - Funk, Stephanie
AU - Schulz-Menger, Jeanette
AU - Kutyniok, Gitta
AU - Schaeffter, Tobias
AU - Kolbitsch, Christoph
PY - 2018/11/22
Y1 - 2018/11/22
N2 - High-resolution three-dimensional (3D) cardiovascular magnetic resonance (CMR) is a valuable medical imaging technique, but its widespread application in clinical practice is hampered by long acquisition times. Here we present a novel compressed sensing (CS) reconstruction approach using shearlets as a sparsifying transform allowing for fast 3D CMR (3DShearCS) using 3D radial phase encoding (RPE). An iterative reweighting scheme was applied during image reconstruction to ensure fast convergence and high image quality. Shearlets are mathematically optimal for a simplified model of natural images and have been proven to be more efficient than classical systems such as wavelets. 3DShearCS was compared to three other commonly used reconstruction approaches. Image quality was assessed quantitatively using general image quality metrics and using clinical diagnostic scores from expert reviewers. The proposed technique had lower relative errors, higher structural similarity and higher diagnostic scores compared to the other reconstruction techniques especially for high undersampling factors, i.e. short scan times. 3DShearCS provided ensured accurate depiction of cardiac anatomy for fast imaging and could help to promote 3D high-resolution CMR in clinical practice.
AB - High-resolution three-dimensional (3D) cardiovascular magnetic resonance (CMR) is a valuable medical imaging technique, but its widespread application in clinical practice is hampered by long acquisition times. Here we present a novel compressed sensing (CS) reconstruction approach using shearlets as a sparsifying transform allowing for fast 3D CMR (3DShearCS) using 3D radial phase encoding (RPE). An iterative reweighting scheme was applied during image reconstruction to ensure fast convergence and high image quality. Shearlets are mathematically optimal for a simplified model of natural images and have been proven to be more efficient than classical systems such as wavelets. 3DShearCS was compared to three other commonly used reconstruction approaches. Image quality was assessed quantitatively using general image quality metrics and using clinical diagnostic scores from expert reviewers. The proposed technique had lower relative errors, higher structural similarity and higher diagnostic scores compared to the other reconstruction techniques especially for high undersampling factors, i.e. short scan times. 3DShearCS provided ensured accurate depiction of cardiac anatomy for fast imaging and could help to promote 3D high-resolution CMR in clinical practice.
KW - compressive sensing
KW - image reconstruction-iterative methods
KW - magnetic resonance imaging
UR - http://www.scopus.com/inward/record.url?scp=85056977982&partnerID=8YFLogxK
U2 - 10.1088/1361-6560/aaea04
DO - 10.1088/1361-6560/aaea04
M3 - Article
C2 - 30465546
AN - SCOPUS:85056977982
SN - 0031-9155
VL - 63
JO - Physics in Medicine and Biology
JF - Physics in Medicine and Biology
IS - 23
M1 - 235004
ER -