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Motion‐corrected MRI with DISORDER: Distributed and incoherent sample orders for reconstruction deblurring using encoding redundancy
- Source :
- Magnetic Resonance in Medicine
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- Purpose To enable rigid body motion-tolerant parallel volumetric magnetic resonance imaging by retrospective head motion correction on a variety of spatiotemporal scales and imaging sequences. Theory and methods Tolerance against rigid body motion is based on distributed and incoherent sampling orders for boosting a joint retrospective motion estimation and reconstruction framework. Motion resilience stems from the encoding redundancy in the data, as generally provided by the coil array. Hence, it does not require external sensors, navigators or training data, so the methodology is readily applicable to sequences using 3D encodings. Results Simulations are performed showing full inter-shot corrections for usual levels of in vivo motion, large number of shots, standard levels of noise and moderate acceleration factors. Feasibility of inter- and intra-shot corrections is shown under controlled motion in vivo. Practical efficacy is illustrated by high-quality results in most corrupted of 208 volumes from a series of 26 clinical pediatric examinations collected using standard protocols. Conclusions The proposed framework addresses the rigid motion problem in volumetric anatomical brain scans with sufficient encoding redundancy which has enabled reliable pediatric examinations without sedation.
- Subjects :
- Deblurring
Full Papers—Imaging Methodology
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Iterative reconstruction
Motion (physics)
distributed and incoherent sampling
030218 nuclear medicine & medical imaging
magnetic resonance
Motion
03 medical and health sciences
0302 clinical medicine
Encoding (memory)
Motion estimation
Image Processing, Computer-Assisted
Redundancy (engineering)
Humans
Radiology, Nuclear Medicine and imaging
Computer vision
Child
motion correction
parallel imaging
Retrospective Studies
ComputingMethodologies_COMPUTERGRAPHICS
Full Paper
business.industry
Brain
image reconstruction
Rigid body
Magnetic Resonance Imaging
Noise (video)
Artificial intelligence
Artifacts
business
Algorithms
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 15222594 and 07403194
- Volume :
- 84
- Database :
- OpenAIRE
- Journal :
- Magnetic Resonance in Medicine
- Accession number :
- edsair.doi.dedup.....df143abf9e89e0bd52c4cf10b58df09b