Improved volumetric imaging for DCE-MRI using parallel imaging and dynamic compressed sensing

Yoon, Huisu; Park, Sung-Hong; Ye, Jong Chul

doi:10.1109/globalsip.2014.7032164

Cited by 1 publication

(2 citation statements)

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“…Similar to DSC-MRI, image acceleration is often used in DCE-MRI to improve spatial and/or temporal resolution. For example, dynamic compressed sensing can be combined with parallel imaging (GRAPPA) and either 3D or 2D+SMS encoding schemes for DCE-MRI, resulting in improved noise characteristics and higher spatiotemporal resolution (Yoon et al, 2014). Another promising method is the golden-angle radial sparse parallel (GRASP) scheme, which employs radial k-space encoding with golden angle ordering to achieve high spatial resolution and flexible post-hoc temporal resolution as high as 2.5 s (Rossi Espagnet et al, 2015).…”

Section: Pulse Sequences: T 1 Mapping and Dynamic Data Acquisition-mentioning

confidence: 99%

“…Quarles et al Page 63 Table 1 Recent advances in DSC-and DCE-MRI acquisition methods Jochimsen et al, 2007;Newbould et al, 2007GRASP Rossi Espagnet et al, 2015PRESTO Gelderen et al, 2000Pedersen et al, 2004 Dual-temporal resolution Jelescu et al, 2011SPICE Paulson et al, 2016 Multi-echo SAGE (Schmiedeskamp et al, 2013(Schmiedeskamp et al, , 2012Skinner et al, 2014;Stokes et al, 2014) Dual-echo Ewing and Bagher-Ebadian, 2013 sSAGE Stokes et al, 2016b;Stokes and Quarles, 2016SPICE Paulson et al, 2016Acceleration Partial Fourier d'Arcy et al, 2002Jonathan et al, 2013Oesterle et al, 2000 Compressed sensing Yoon et al, 2014;Smith et al, 2012SMS Eichner et al, 2014…”

Section: Prestomentioning

confidence: 99%

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Imaging vascular and hemodynamic features of the brain using dynamic susceptibility contrast and dynamic contrast enhanced MRI

2019

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In the context of neurologic disorders, dynamic susceptibility contrast (DSC) and dynamic contrast enhanced (DCE) MRI provide valuable insights into cerebral vascular function, integrity, and architecture. Even after two decades of use, these modalities continue to evolve as their biophysical and kinetic basis is better understood, with improvements in pulse sequences and accelerated imaging techniques and through application of more robust and automated data analysis strategies. Here, we systematically review each of these elements, with a focus on how their integration improves kinetic parameter accuracy and the development of new hemodynamic biomarkers that provide sub-voxel sensitivity (e.g., capillary transit time and flow heterogeneity). Regarding contrast mechanisms, we discuss the dipole-dipole interactions and susceptibility effects that give rise to simultaneous T, T and T relaxation effects, including their quantification, influence on pulse sequence parameter optimization, and use in methods such as vessel size and vessel architectural imaging. The application of technologic advancements, such as parallel imaging, simultaneous multi-slice, undersampled k-space acquisitions, and sliding window strategies, enables improved spatial and/or temporal resolution of DSC and DCE acquisitions. Such acceleration techniques have also enabled the implementation of, clinically feasible, simultaneous multi-echo spin- and gradient echo acquisitions, providing more comprehensive and quantitative interrogation of T, T and T changes. Characterizing these relaxation rate changes through different post-processing options allows for the quantification of hemodynamics and vascular permeability. The application of different biophysical models provides insight into traditional hemodynamic parameters (e.g., cerebral blood volume) and more advanced parameters (e.g., capillary transit time heterogeneity). We provide insight into the appropriate selection of biophysical models and the necessary post-processing steps to ensure reliable measurements while minimizing potential sources of error. We show representative examples of advanced DSC- and DCE-MRI methods applied to pathologic conditions affecting the cerebral microcirculation, including brain tumors, stroke, aging, and multiple sclerosis. The maturation and standardization of conventional DSC- and DCE-MRI techniques has enabled their increased integration into clinical practice and use in clinical trials, which has, in turn, spurred renewed interest in their technological and biophysical development, paving the way towards a more comprehensive assessment of cerebral hemodynamics.

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Section: Pulse Sequences: T 1 Mapping and Dynamic Data Acquisition-mentioning

confidence: 99%

Section: Prestomentioning

confidence: 99%

Imaging vascular and hemodynamic features of the brain using dynamic susceptibility contrast and dynamic contrast enhanced MRI

2019

View full text Add to dashboard Cite

show abstract

Improved volumetric imaging for DCE-MRI using parallel imaging and dynamic compressed sensing

Cited by 1 publication

References 9 publications

Imaging vascular and hemodynamic features of the brain using dynamic susceptibility contrast and dynamic contrast enhanced MRI

Imaging vascular and hemodynamic features of the brain using dynamic susceptibility contrast and dynamic contrast enhanced MRI

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