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Latest Advances in Image Acceleration: All Dimensions are Fair Game
Magnetic resonance imaging (MRI) is a versatile modality that can generate high‐resolution images with a variety of tissue contrasts. However, MRI is a slow technique and requires long acquisition times, which increase with higher temporal and spatial resolution and/or when multiple contrasts and la...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10092100/ https://www.ncbi.nlm.nih.gov/pubmed/36205716 http://dx.doi.org/10.1002/jmri.28462 |
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author | Munoz, Camila Fotaki, Anastasia Botnar, René M. Prieto, Claudia |
author_facet | Munoz, Camila Fotaki, Anastasia Botnar, René M. Prieto, Claudia |
author_sort | Munoz, Camila |
collection | PubMed |
description | Magnetic resonance imaging (MRI) is a versatile modality that can generate high‐resolution images with a variety of tissue contrasts. However, MRI is a slow technique and requires long acquisition times, which increase with higher temporal and spatial resolution and/or when multiple contrasts and large volumetric coverage is required. In order to speedup MR data acquisition, several approaches have been introduced in the literature. Most of these techniques acquire less data than required and exploit intrinsic redundancies in the MR images to recover the information that was not sampled. This article presents a review of MR acquisition and reconstruction methods that have exploited redundancies in the temporal, spatial, and contrast/parametric dimensions to accelerate image data acquisition, focusing on cardiac and abdominal MR imaging applications. The review describes how each of these dimensions has been separately exploited for speeding up MR acquisition to then discuss more advanced techniques where multiple dimensions are exploited together for further reducing scan times. Finally, future directions for multidimensional image acceleration and remaining technical challenges are discussed. EVIDENCE LEVEL: 5 TECHNICAL EFFICACY: 1 |
format | Online Article Text |
id | pubmed-10092100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100921002023-04-13 Latest Advances in Image Acceleration: All Dimensions are Fair Game Munoz, Camila Fotaki, Anastasia Botnar, René M. Prieto, Claudia J Magn Reson Imaging Reviews Magnetic resonance imaging (MRI) is a versatile modality that can generate high‐resolution images with a variety of tissue contrasts. However, MRI is a slow technique and requires long acquisition times, which increase with higher temporal and spatial resolution and/or when multiple contrasts and large volumetric coverage is required. In order to speedup MR data acquisition, several approaches have been introduced in the literature. Most of these techniques acquire less data than required and exploit intrinsic redundancies in the MR images to recover the information that was not sampled. This article presents a review of MR acquisition and reconstruction methods that have exploited redundancies in the temporal, spatial, and contrast/parametric dimensions to accelerate image data acquisition, focusing on cardiac and abdominal MR imaging applications. The review describes how each of these dimensions has been separately exploited for speeding up MR acquisition to then discuss more advanced techniques where multiple dimensions are exploited together for further reducing scan times. Finally, future directions for multidimensional image acceleration and remaining technical challenges are discussed. EVIDENCE LEVEL: 5 TECHNICAL EFFICACY: 1 John Wiley & Sons, Inc. 2022-10-07 2023-02 /pmc/articles/PMC10092100/ /pubmed/36205716 http://dx.doi.org/10.1002/jmri.28462 Text en © 2022 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Reviews Munoz, Camila Fotaki, Anastasia Botnar, René M. Prieto, Claudia Latest Advances in Image Acceleration: All Dimensions are Fair Game |
title | Latest Advances in Image Acceleration: All Dimensions are Fair Game |
title_full | Latest Advances in Image Acceleration: All Dimensions are Fair Game |
title_fullStr | Latest Advances in Image Acceleration: All Dimensions are Fair Game |
title_full_unstemmed | Latest Advances in Image Acceleration: All Dimensions are Fair Game |
title_short | Latest Advances in Image Acceleration: All Dimensions are Fair Game |
title_sort | latest advances in image acceleration: all dimensions are fair game |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10092100/ https://www.ncbi.nlm.nih.gov/pubmed/36205716 http://dx.doi.org/10.1002/jmri.28462 |
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