Accelerated parallel magnetic resonance imaging with multi-channel chaotic compressed sensing

Tran, Duc–Tan; Phong, Dinh Van; Chinh, Truong Minh; Linh-Trung, Nguyen

doi:10.1109/atc.2010.5672695

Cited by 7 publications

(4 citation statements)

References 17 publications

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“…Our results con¿rm the success of using chaotic measurements and the spread spectrum techniques for pMRI acquisition. Lastly, this approach outperforms not only the random CS proposed by Linh-Trung [18], Lustig & Pauly [11], and Tan [17] in terms of error performance in image reconstruction but also the spread spectrum proposed by Puy [16] in terms of hardware implementation.…”

Section: Discussionmentioning

confidence: 87%

“…Based on the works of [18] using chaotic CS, [17] and [19] using parallel MRI, and [16] using spread spectrum for 2D brain MRI images, we presented an application to a fast and practical acquisition scheme. Our results con¿rm the success of using chaotic measurements and the spread spectrum techniques for pMRI acquisition.…”

Section: Discussionmentioning

confidence: 99%

“…Note that if we combine CS and parallel imaging, the speed will be further enhanced. Inspired by this work, further developments in the direction of using CS for MRI continues [12], [17], [18].…”

Section: Introductionmentioning

confidence: 86%

“…In this paper, we apply the method in [1], [13], and [16] to parallel MRI (pMRI) for fast acquisition and compare it with the chaotic CS method developed in [17]. The paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

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Spread spectrum for chaotic compressed sensing techniques in parallel magnetic resonance imaging

Tran

Vu-Ha

Trung

2011

2011 8th International Conference on Information, Communications &Amp; Signal Processing

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We consider the fast acquisition problem in magnetic resonance imaging (MRI). Often, fast acquisition is achieved using parallel imaging (pMRI) techniques. It has been shown recently that compressed sensing (CS), which enables exact reconstruction of sparse or compressible signals from a small number of random measurements, can accelerate the speed of MRI acquisition because the number of measurements was small. Recently, the spread spectrum (SS) has been utilized to enhance the quality of reconstructed CS image. Also recently, chaotic CS approach potentially offers simpler hardware implementation. In this paper, we combine chaotic CS and spread spectrum technique in order to obtain a fast acquisition in MRI with enhanced quality of reconstructed image. The performance of the proposed method is analyzed using numerical simulation.

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