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Deep Learning-based Image Enhancement Techniques for Fast MRI in Neuroimaging.
- Source :
-
Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine [Magn Reson Med Sci] 2024 Jul 01; Vol. 23 (3), pp. 341-351. Date of Electronic Publication: 2024 Apr 27. - Publication Year :
- 2024
-
Abstract
- Despite its superior soft tissue contrast and non-invasive nature, MRI requires long scan times due to its intrinsic signal acquisition principles, a main drawback which technological advancements in MRI have been focused on. In particular, scan time reduction is a natural requirement in neuroimaging due to detailed structures requiring high resolution imaging and often volumetric (3D) acquisitions, and numerous studies have recently attempted to harness deep learning (DL) technology in enabling scan time reduction and image quality improvement. Various DL-based image reconstruction products allow for additional scan time reduction on top of existing accelerated acquisition methods without compromising the image quality.
Details
- Language :
- English
- ISSN :
- 1880-2206
- Volume :
- 23
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 38684425
- Full Text :
- https://doi.org/10.2463/mrms.rev.2023-0153