TY - JOUR
T1 - MRI of moving subjects using multislice Snapshot images with Volume Reconstruction (SVR)
T2 - Application to fetal, neonatal, and adult brain studies
AU - Jiang, Shuzhou
AU - Xue, Hui
AU - Glover, Alan
AU - Rutherford, Mary
AU - Rueckert, Daniel
AU - Hajnal, Joseph V.
N1 - Funding Information:
Manuscript received August 17, 2006; revised February 9, 2007. This work was supported in part by grant funding from the Philips System. The work of S. Jiang was supported by the Lee Family Scholarship. The work of M. Rutherford was supported by the Academy of Medical Sciences and the Health Foundation. Asterisk indicates corresponding author.
PY - 2007/7
Y1 - 2007/7
N2 - Motion degrades magnetic resonance (MR) images and prevents acquisition of self-consistent and high-quality volume images. A novel methodology, Snapshot magnetic resonance imaging (MRI) with Volume Reconstruction (SVR) has been developed for imaging moving subjects at high resolution and high signal-to-noise ratio (SNR). The method combines registered 2-D slices from sequential dynamic single-shot scans. The SVR approach requires that the anatomy in question is not changing shape or size and is moving at a rate that allows snapshot images to be acquired. After imaging the target volume repeatedly to guarantee sufficient sampling every where, a robust slice-to-volume registration method has been implemented that achieves alignment of each slice within 0.3 mm in the examples tested. Multilevel scattered interpolation has been used to obtain high-fidelity reconstruction with root-mean-square (rms) error that is less than the noise level in the images. The SVR method has been performed successfully for brain studies on subjects that cannot stay still, and in some cases were moving substantially during scanning. For example, awake neonates, deliberately moved adults and, especially, on fetuses, for which no conventional high-resolution 3-D method is currently available. Fine structure of the in-utero fetal brain is clearly revealed for the first time and substantial SNR improvement is realized by having many individually acquired slices contribute to each voxel in the reconstructed image.
AB - Motion degrades magnetic resonance (MR) images and prevents acquisition of self-consistent and high-quality volume images. A novel methodology, Snapshot magnetic resonance imaging (MRI) with Volume Reconstruction (SVR) has been developed for imaging moving subjects at high resolution and high signal-to-noise ratio (SNR). The method combines registered 2-D slices from sequential dynamic single-shot scans. The SVR approach requires that the anatomy in question is not changing shape or size and is moving at a rate that allows snapshot images to be acquired. After imaging the target volume repeatedly to guarantee sufficient sampling every where, a robust slice-to-volume registration method has been implemented that achieves alignment of each slice within 0.3 mm in the examples tested. Multilevel scattered interpolation has been used to obtain high-fidelity reconstruction with root-mean-square (rms) error that is less than the noise level in the images. The SVR method has been performed successfully for brain studies on subjects that cannot stay still, and in some cases were moving substantially during scanning. For example, awake neonates, deliberately moved adults and, especially, on fetuses, for which no conventional high-resolution 3-D method is currently available. Fine structure of the in-utero fetal brain is clearly revealed for the first time and substantial SNR improvement is realized by having many individually acquired slices contribute to each voxel in the reconstructed image.
KW - Data interpolation
KW - Magnetic resonance imaging (MRI)
KW - Motion correction
KW - Neonate
KW - Registration
KW - Three-dimensional (3-D) fetal brain MRI
UR - https://www.scopus.com/pages/publications/34547288464
U2 - 10.1109/TMI.2007.895456
DO - 10.1109/TMI.2007.895456
M3 - Article
C2 - 17649910
AN - SCOPUS:34547288464
SN - 0278-0062
VL - 26
SP - 967
EP - 980
JO - IEEE Transactions on Medical Imaging
JF - IEEE Transactions on Medical Imaging
IS - 7
ER -