Free-Breathing Contrast-Enhanced Multiphase MRI of the Liver Using a Combination of Compressed Sensing, Parallel Imaging, and Golden-Angle Radial Sampling

Chandarana, Hersh; Feng, Li; Block, Tobias; Rosenkrantz, Andrew B.; Lim, Ruth; Babb, James S.; Sodickson, Daniel K.; Otazo, Ricardo

doi:10.1097/rli.0b013e318271869c

Cited by 225 publications

(238 citation statements)

References 16 publications

(18 reference statements)

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“…32 A total of 275 subjects were imaged across the 18 studies (range, 3-34; mean 5 15.28; median 5 11.5; standard deviation 5 10.23). 7 studies imaged healthy subjects, 15,[19][20][21]23,24,27 and 11 imaged patients referred for the type of imaging under consideration 1,2,14,[16][17][18]22,25,26,28,29 ( Figure 5). …”

Section: Methodsmentioning

confidence: 99%

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Compressed sensing MRI: a review of the clinical literature

Jaspan

Fleysher

Lipton

2015

BJR

305

191

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MRI is one of the most dynamic and safe imaging techniques available in the clinic today. However, MRI acquisitions tend to be slow, limiting patient throughput and limiting potential indications for use while driving up costs. Compressed sensing (CS) is a method for accelerating MRI acquisition by acquiring less data through undersampling of k-space. This has the potential to mitigate the time-intensiveness of MRI. The limited body of research evaluating the effects of CS on MR images has been mostly positive with regards to its potential as a clinical tool. Studies have successfully accelerated MRI with this technology, with varying degrees of success. However, more must be performed before its diagnostic efficacy and benefits are clear. Studies involving a greater number radiologists and images must be completed, rating CS based on its diagnostic efficacy. Also, standardized methods for determining optimal imaging parameters must be developed.

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Section: Methodsmentioning

confidence: 99%

“…22 In 10 studies human readers rated images. 1,15,18,[21][22][23][26][27][28][29] In eight studies, accurate measurement of a quantitative metric with CS MRI (e.g. contrast uptake or metabolite concentration) was assessed.…”

Section: Methodsmentioning

confidence: 99%

Compressed sensing MRI: a review of the clinical literature

Jaspan

Fleysher

Lipton

2015

BJR

305

191

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“…A limitation of this study is that it was small and retrospective; however, it does demonstrate the feasibility of routine use of a multi-phasic arterial acquisition in patients with chronic liver disease in the clinical environment. Other promising multi-arterial phase techniques have been developed, some of which have been used in volunteers or in a small number of patients but have not been implemented in clinical practice [25].…”

Section: Discussionmentioning

confidence: 99%

“…These include CAIPIRINHADixon-TWIST VIBE [30], temporal resolution acceleration with constrained evolution reconstruction (TRACER), which samples k-space with a 3D stack of variable density spirals to obtain a high temporal frame rate [31], high spatio-temporal resolution liver imaging performed with time-resolved threedimensional radial MR and fluoroscopic triggering [32], and liver imaging in free-breathing subjects using a combination of compressed sensing, parallel imaging and golden-angle radial sampling [25]. Compared with the complex reconstruction schemes proposed in [32] and [25], DISCO reconstruction, due to its Cartesian sampling, is fairly rapid, online and wellsuited for clinical adoption. This technique has the potential for detailed evaluation of hemodynamics within focal liver lesions and a prospective study with a larger number of patients with chronic liver disease at risk for HCC should be performed to further elucidate the value of multiphasic imaging in identifying liver lesions.…”

Section: Discussionmentioning

confidence: 99%

High resolution multi-arterial phase MRI improves lesion contrast in chronic liver disease

Clarke¹,

Saranathan²,

Rettmann³

et al. 2015

CIM

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Purpose: To determine the reliability of arterial phase capture and evaluate hypervascular lesion contrast kinetics with a combined view-sharing and parallel imaging dynamic contrast-enhanced acquisition, DIfferential Sub-sampling with Cartesian Ordering (DISCO), in patients with known chronic liver disease.Methods: A retrospective review of 3T MR images from 26 patients with known chronic liver disease referred for hepatocellular carcinoma surveillance or post-treatment follow up was performed. After administration of a gadolinium-based contrast agent, a multiphasic acquisition was obtained in a 28 s breath-hold, from which seven sequential post-contrast image volumes were reconstructed.Results: The late arterial phase was successfully captured in all cases (26/26, 95% CI 87-100%). Images obtained 26 s post-injection had the highest frequency of late arterial phase capture (20/26) and lesion detection (23/26) of any individual post-contrast time; however, the multiphasic data resulted in a significantly higher frequency of late arterial phase capture (26/26, p=0.03) and a higher relative contrast (5.37+/-0.97 versus 7.10+/-0.98, p < 0.01). Conclusion:Multiphasic acquisition with combined view-sharing and parallel imaging reliably captures the late arterial phase and provides sufficient temporal resolution to characterize hepatic lesion contrast kinetics in patients with chronic liver disease while maintaining high spatial resolution.

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“…Reference [85] under-sampled each k-space data frame randomly to acquire more images per time (improving temporal resolution) and obtain high resolution reconstruction with the help of a reference image obtained in advance. In reference [86], a method was proposed to combine CS and PI to accelerate the scanning. The results of arterial and venous phase imaging by DCE liver MRI in eight volunteers was compared with standard breathhold Cartesian 3D MRI, which demonstrated the performance.…”

Section: Dynamic Contrast Enhanced (Dce) Imagingmentioning

confidence: 99%

Improving the image quality in compressed sensing MRI by the exploitation of data properties

Yang¹

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Minimizing scan time without compromising image quality has been the main thrust of magnetic resonance imaging (MRI) since the establishment of the field. Tremendous effort has been put into MRI systems in pursuit of faster MR imaging techniques, which can substantially facilitate clinical diagnoses and improve the patient experience. Traditional MRI accelerated approaches mainly focused on hardware improvements to improve the speed of scanning. These methods are still governed by Nyquist-Shannon sampling rate. Hence, when the acceleration rate is pushed beyond the theoretical limit, aliasing artefacts are introduced which degrade the reconstructed image quality and are difficult to eliminate via current methods. Recently, it has been found that a newly developed signal processing theory, compressed sensing (CS), can be used to create high-resolution signal data sets from sparse samples, despite violating the classical Nyquist-Shannon sampling criteria. The application of CS to MRI opens up an appealing avenue to offer potentially significant scan time reductions. CS reconstructs MR images from incomplete k-space measurements. Taking advantage of the fact that MR images have sparse representations under certain mathematical transformations, CS overcomes the distortions resulting from the under-sampled k-space data. Significant progress has been made in the development of CS MRI. However, there are two major remaining challenges to its full adoption in clinical applications: (1) the small amount of under-sampled data (for example, less than 1/8 of the whole k-space data) will inherently introduce artefacts in the reconstructed image and compromise diagnosis accuracy for the reconstructed images; (2) owing to hardware limits, it is difficult to realise two-dimension random under-sampling, which is favoured by CS operation.Practically, the random phase-encode under-sampling pattern has been widely implemented.However, it introduces coherent aliasing artefacts that are hard to eliminate using the CS theory.In this thesis, several techniques are proposed that can improve the quality of images reconstructed by CS MRI. These techniques have the potential to facilitate faithful reconstruction of CS MRI in clinical applications. A novel two-stage reconstruction scheme is introduced in Chapter 3. In this method, the under-sampled k-space data is segmented into low-frequency and high-frequency parts.Then, in stage one, using dense measurements, the low-frequency region of k-space data is faithfully reconstructed. The fully reconstituted low-frequency k-space data from the first stage is then combined with the under-sampled high-frequency k-space data to complete the second stage reconstruction of the whole image. With this two-stage approach, each reconstruction inherently incorporates a lower data under-sampling rate than conventional approaches. Because the restricted isometric property is easier to satisfy than conventional CS method, the reconstruction consequently ii produces lower residual errors in each step...

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Free-Breathing Contrast-Enhanced Multiphase MRI of the Liver Using a Combination of Compressed Sensing, Parallel Imaging, and Golden-Angle Radial Sampling

Cited by 225 publications

References 16 publications

Compressed sensing MRI: a review of the clinical literature

Compressed sensing MRI: a review of the clinical literature

High resolution multi-arterial phase MRI improves lesion contrast in chronic liver disease

Improving the image quality in compressed sensing MRI by the exploitation of data properties

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