Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients

Vasanawala, Shreyas S.; Murphy, M; Alley, M. T.; Lai, Peng; Keutzer, Kurt; Jm, Pauly; Lustig, Michael

doi:10.1109/isbi.2011.5872579

Cited by 160 publications

(121 citation statements)

References 8 publications

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“…Without shift-invariance property, the signal restored using the orthogonal discrete wavelet transform will exhibit much more artifacts in denoising [11,12]. Within the field of MRI, some researchers have utilized SIDWT to reconstruct MR images and found it superior than its orthogonal counterpart in noise suppression and artifacts reduction [5,36,[42][43][44]. In all the experiments, Daubechies wavelets with 4 decomposition levels are utilized in SIDWT.…”

Section: A Main Resultsmentioning

confidence: 99%

Projected Iterative Soft-Thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging

Liu

Zhan

Cai

et al. 2016

IEEE Trans. Med. Imaging

164

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Abstract-Compressed sensing has shown great potentials in accelerating magnetic resonance imaging. Fast image reconstruction and high image quality are two main issues faced by this new technology. It has been shown that, redundant image representations, e.g. tight frames, can significantly improve the image quality. But how to efficiently solve the reconstruction problem with these redundant representation systems is still challenging. This paper attempts to address the problem of applying iterative soft-thresholding algorithm (ISTA) to tight frames based magnetic resonance image reconstruction. By introducing the canonical dual frame to construct the orthogonal projection operator on the range of the analysis sparsity operator, we propose a projected iterative soft-thresholding algorithm (pISTA) and further accelerate it by incorporating the strategy proposed by Beck and Teboulle in 2009. We theoretically prove that pISTA converges to the minimum of a function with a balanced tight frame sparsity. Experimental results demonstrate that the proposed algorithm achieves better reconstruction than the widely used synthesis sparse model and the accelerated pISTA converges faster or comparable to the state-of-art smoothing FISTA. One major advantage of pISTA is that only one extra parameter, the step size, is introduced and the numerical solution is stable to it in terms of image reconstruction errors, thus allowing easily setting in many fast magnetic resonance imaging applications.

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Section: A Main Resultsmentioning

confidence: 99%

Projected Iterative Soft-Thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging

Liu

Zhan

Cai

et al. 2016

IEEE Trans. Med. Imaging

164

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“…Vasanawala et al (2011) recently reported a successful combination of parallel imaging, compressed sensing and a GPU implementation in this realm. Kowalik et al (2012) also used GPU accelerated reconstruction of parallel imaging in order to monitor the flow of cardiac output in real-time.…”

Section: Mrimentioning

confidence: 99%

Medical image processing on the GPU – Past, present and future

Eklund

Dufort

Forsberg

et al. 2013

Medical Image Analysis

351

198

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Graphics processing units (GPUs) are used today in a wide range of applications, mainly because they can dramatically accelerate parallel computing, are affordable and energy efficient. In the field of medical imaging, GPUs are in some cases crucial for enabling practical use of computationally demanding algorithms. This review presents the past and present work on GPU accelerated medical image processing, and is meant to serve as an overview and introduction to existing GPU implementations. The review covers GPU acceleration of basic image processing operations (filtering, interpolation, histogram estimation and distance transforms), the most commonly used algorithms in medical imaging (image registration, image segmentation and image denoising) and algorithms that are specific to individual modalities (CT, PET, SPECT, MRI, fMRI, DTI, ultrasound, optical imaging and microscopy). The review ends by highlighting some future possibilities and challenges.

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“…For instance, due to the potential of higher signal-to-noise ratio at 7 T, higher resolution is often pursued (most commonly to assess the hippocampal morphometry of patients with dementia), which leads to longer scan times for a patient population that can only tolerate short examinations. Many hardware technologies and software techniques are being developed to deal with the increasing scan times, including coil-based acceleration schemes, 7,54,58,78 compressed sensing, 91 multiband and multislice excitation, 62,77 and improved coil design.…”

Section: -T Mri Limitations and Challengesmentioning

confidence: 99%

Seven-Tesla MRI and neuroimaging biomarkers for Alzheimer’s disease

Ali¹,

Goubran

Choudhri³

et al. 2015

FOC

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The goal of this paper was to review the effectiveness of using 7-T MRI to study neuroimaging biomarkers for Alzheimer’s disease (AD). The authors reviewed the literature for articles published to date on the use of 7-T MRI to study AD. Thus far, there are 3 neuroimaging biomarkers for AD that have been studied using 7-T MRI in AD tissue: 1) neuroanatomical atrophy; 2) molecular characterization of hypointensities; and 3) microinfarcts. Seven-Tesla MRI has had mixed results when used to study the 3 aforementioned neuroimaging biomarkers for AD. First, in the detection of neuroanatomical atrophy, 7-T MRI has exciting potential. Historically, noninvasive imaging of neuroanatomical atrophy during AD has been limited by suboptimal resolution. However, now there is compelling evidence that the high resolution of 7-T MRI may help overcome this hurdle. Second, in detecting the characterization of hypointensities, 7-T MRI has had varied success. PET scans will most likely continue to lead in the noninvasive imaging of amyloid plaques; however, there is emerging evidence that 7-T MRI can accurately detect iron deposits within activated microglia, which may help shed light on the role of the immune system in AD pathogenesis. Finally, in the detection of microinfarcts, 7-T MRI may also play a promising role, which may help further elucidate the relationship between cerebrovascular health and AD progression.

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Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients

Cited by 160 publications

References 8 publications

Projected Iterative Soft-Thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging

Projected Iterative Soft-Thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging

Medical image processing on the GPU – Past, present and future

Seven-Tesla MRI and neuroimaging biomarkers for Alzheimer’s disease

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