Rapid compositional mapping of knee cartilage with compressed sensing MRI.
Rapid compositional mapping of knee cartilage with compressed sensing MRI.
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DOI:
10.1002/jmri.26274
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发表时间:
2018-11
期刊:
影响因子:
--
通讯作者:
Regatte RR
中科院分区:
文献类型:
--
作者:
Zibetti MVW;Baboli R;Chang G;Otazo R;Regatte RR
More than one decade after the introduction of compressed sensing (CS) in MRI, researchers are still working on ways to translate it into different research and clinical applications. The greatest advantage of CS in MRI is the reduced amount of k-space data needed to reconstruct images, which can be exploited to reduce scan time or to improve spatial resolution and volumetric coverage. Efficient data acquisition using CS is extremely important for compositional mapping of the musculoskeletal system in general and knee cartilage mapping techniques in particular. High-resolution quantitative information about tissue biochemical composition could be obtained in just a few minutes using CS MRI. However, in order to make this goal a reality, some issues still need to be addressed. In this paper, we review the current state of the art of CS methods for rapid compositional mapping of knee cartilage. Specifically, data acquisition strategies, image reconstruction algorithms, and data fitting models are discussed. Different CS studies for T2 and T1ρ mapping of knee cartilage are reviewed, with illustrative results. Future directions, opportunities, and challenges of rapid compositional mapping techniques are also discussed. Compressed sensing MRI is a leap forward for rapid compositional mapping techniques, especially for knee cartilage. There are still several points to be refined for effective practical use, but there is no doubt that it will transform compositional mapping of knee cartilage into a rapid and reliable source of quantitative information for clinicians and researchers, without degrading the quality of relaxation maps, and providing a more comfortable experience for patients.
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DOI:
10.1097/01.rmr.0000136558.09801.dd
发表时间:
2004-08-01
期刊:
Topics in magnetic resonance imaging : TMRI
影响因子:
--
作者:
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通讯作者:
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影响因子:
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影响因子:
3.3
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通讯作者:
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影响因子:
2.5
作者:
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通讯作者:
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影响因子:
2.1
作者:
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通讯作者:
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