‐corrected water–fat imaging using compressed sensing and parallel imaging

Wiens, Curtis N.; McCurdy, Colin M.; Willig-Onwuachi, Jacob; McKenzie, Charles A.

doi:10.1002/mrm.24699

Cited by 25 publications

(29 citation statements)

References 37 publications

(68 reference statements)

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“…Such a parametric approach does not require the user to explicitly calculate all of the possible elements to form a dictionary, which may allow improved results as any values of the model parameters can result from the reconstruction (and not just those found in the dictionary). Although the example of T 1 mapping has been used here, any other physical property can be treated in the same manner if a well-defined mathematical relationship exists between the signal time course and the property to be measured, such as T 2 65 , proton density 56 , fat fraction 95–98 , or susceptibility mapping 94 . Additionally, there are methods which use the images themselves to determine an appropriate signal model; here an explicit knowledge of the mathematical model is not required 59,61,66 .…”

Section: Sparse Reconstruction Techniquesmentioning

confidence: 99%

Sparse Reconstruction Techniques in Magnetic Resonance Imaging

Yang

Kretzler

Sudarski

et al. 2016

Investigative Radiology

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The family of sparse reconstruction techniques, including the recently introduced compressed sensing framework, has been extensively explored to reduce scan times in Magnetic Resonance Imaging (MRI). While there are many different methods that fall under the general umbrella of sparse reconstructions, they all rely on the idea that a priori information about the sparsity of MR images can be employed to reconstruct full images from undersampled data. This review describes the basic ideas behind sparse reconstruction techniques, how they could be applied to improve MR imaging, and the open challenges to their general adoption in a clinical setting. The fundamental principles underlying different classes of sparse reconstructions techniques are examined, and the requirements that each make on the undersampled data outlined. Applications that could potentially benefit from the accelerations that sparse reconstructions could provide are described, and clinical studies using sparse reconstructions reviewed. Lastly, technical and clinical challenges to widespread implementation of sparse reconstruction techniques, including optimization, reconstruction times, artifact appearance, and comparison with current gold-standards, are discussed.

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Section: Sparse Reconstruction Techniquesmentioning

confidence: 99%

Sparse Reconstruction Techniques in Magnetic Resonance Imaging

Yang

Kretzler

Sudarski

et al. 2016

Investigative Radiology

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show abstract

“…This holds true for the shown XD‐Dixon‐RAVE and DCE‐Dixon‐RAVE experiments where temporal TV was applied to obtain adequate image quality. Previous work additionally included field‐map‐smoothness constraints in the cost function . However, no visual difference could be seen for the data acquired in this work.…”

Section: Discussionmentioning

confidence: 94%

“…Typically, only 15–20 s can be used for acquiring all data, and the available time can be even less for sick, elderly, or pediatric patients. To accelerate data acquisition, combinations of fat/water separation with parallel imaging (PI) , compressed sensing (CS) , or both have been proposed. However, the achievable spatial resolution and anatomic coverage remains limited due to the requirement that, conventionally, data can only be acquired as long as the patient is suspending respiration.…”

Section: Introductionmentioning

confidence: 99%

Free-breathing volumetric fat/water separation by combining radial sampling, compressed sensing, and parallel imaging

et al. 2016

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Purpose Conventional fat/water separation techniques require that patients hold breath during abdominal acquisitions, which often fails and limits the achievable spatial resolution and anatomic coverage. This work presents a novel approach for free-breathing volumetric fat/water separation. Theory and Methods Multi-echo data are acquired using a motion-robust radial stack-of-stars 3D GRE sequence with bipolar readout. To obtain fat/water maps, a model-based reconstruction is employed that accounts for the off-resonant blurring of fat and integrates both compressed sensing and parallel imaging. The approach additionally enables generation of respiration-resolved fat/water maps by detecting motion from k-space data and reconstructing different respiration states. Furthermore, an extension is described for dynamic contrast-enhanced fat-water-separated measurements. Results Uniform and robust fat/water separation is demonstrated in several clinical applications, including free-breathing non-contrast abdominal examination of adults and a pediatric subject with both motion-averaged and motion-resolved reconstructions, as well as in a non-contrast breast exam. Furthermore, dynamic contrast-enhanced fat/water imaging with high temporal resolution is demonstrated in the abdomen and breast. Conclusion The described framework provides a viable approach for motion-robust fat/water separation and promises particular value for clinical applications that are currently limited by the breath-holding capacity or cooperation of patients.

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“…In this work, we used an ARC acceleration factor of 2 in both phase encoding directions that reduced scan time to less than 10 min, with 30–40% navigator efficiency. Recent work performed by several groups aimed at combining compressed sensing with parallel imaging and efficient water–fat separation algorithms could provide further acceleration while limiting residual artifacts due to irregular cardiac rates and/or breathing patterns.…”

Section: Discussionmentioning

confidence: 99%

Whole‐heart chemical shift encoded water–fat MRI

Taviani

Hernando

François

et al. 2013

Magnetic Resonance in Med

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Purpose To develop and evaluate a free-breathing chemical-shift-encoded (CSE) spoiled gradient-recalled echo (SPGR) technique for whole-heart water–fat imaging at 3 Tesla (T). Methods We developed a three-dimensional (3D) multi-echo SPGR pulse sequence with electrocardiographic gating and navigator echoes and evaluated its performance at 3T in healthy volunteers (N = 6) and patients (N = 20). CSE-SPGR, 3D SPGR, and 3D balanced-SSFP with chemical fat saturation were compared in six healthy subjects with images evaluated for overall image quality, level of residual artifacts, and quality of fat suppression. A similar scoring system was used for the patient datasets. Results Images of diagnostic quality were acquired in all but one subject. CSE-SPGR performed similarly to SPGR with fat saturation, although it provided a more uniform fat suppression over the whole field of view. Balanced-SSFP performed worse than SPGR-based methods. In patients, CSE-SPGR produced excellent fat suppression near metal. Overall image quality was either good (7/20) or excellent (12/20) in all but one patient. There were significant artifacts in 5/20 clinical cases. Conclusion CSE-SPGR is a promising technique for whole-heart water–fat imaging during free-breathing. The robust fat suppression in the water-only image could improve assessment of complex morphology at 3T and in the presence of off-resonance, with additional information contained in the fat-only image.

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‐corrected water–fat imaging using compressed sensing and parallel imaging

Cited by 25 publications

References 37 publications

Sparse Reconstruction Techniques in Magnetic Resonance Imaging

Sparse Reconstruction Techniques in Magnetic Resonance Imaging

Free-breathing volumetric fat/water separation by combining radial sampling, compressed sensing, and parallel imaging

Whole‐heart chemical shift encoded water–fat MRI

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