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The integration of compressed sensing and parallel imaging (CS-PI) has shown an increased popularity in recent years to accelerate magnetic resonance (MR) imaging. Among them, calibration-free techniques have presented encouraging performances due to its capability in robustly handling the sensitivity information. Unfortunately, existing calibration-free methods have only explored joint-sparsity with...
kNN (k nearest neighbors) is widely adopted because of its simplicity. However, its shortcomings can not be neglected, especially its time complexity. Consequently a great amount of approaches emerged in large numbers in decades to cope with this issue with a tradeoff in performance of the classification. In this paper, a novel improved kNN algorithm is proposed with a better performance than traditional...
This paper proposes an adaptive reconstruction method for parallel imaging (PI) via sparse representation over a learned dictionary and also a corresponding dictionary learning based PI (DL-PI) algorithm. DL-PI adopts the “divide and conquer” strategy to solve the ℓ2-DL reconstruction formulation, with dictionary learning to capture the structure information and a Taylor approximation to update the...
Parallel magnetic resonance imaging (MRI) reconstruction problem can be formulated as a multichannel sampling problem where solutions can be sought analytically. However, the channel functions given by the coil sensitivities in parallel imaging are not known exactly and the estimation error usually leads to artifacts or degraded SNR. In the context of parallel MRI, this work investigates the blind...
In this paper, we propose a new dynamic MR image reconstruction technique that combines the compressed sensing-based dynamic methods with parallel imaging techniques to achieve high accelerations. The method decouples the reconstruction process into two sequential steps. In the first step, a series of aliased dynamic images is reconstructed using a CS method from the highly undersampled £-space data...
An algal membrane potential sensor based on extra-cellular technique and electrochemistry was constructed. Membrane potential (MP) and membrane resistance (MR) of algal cell were used for biological indicators of the biosensor. The results showed that MP and MR were significantly correlative with Cu2+ concentration. Qualitative detection of Cu2+ was realized in the experiment, and the detection limit...
In this paper we consider image reconstruction from multichannel phased array MRI data without prior knowledge of the coil sensitivity functions. A new framework based on multichannel blind deconvolution (MBD) is developed for joint estimation of the image function and the sensitivity functions in k-space. By exploiting the smoothness of the estimated functions in the spatial domain, we develop a...
Parallel magnetic resonance imaging (pMRI) cannot achieve its maximum reduction factor due to practical limitations. The combination of pMRI and distributed compressed sensing (DCS) for further acceleration is of great interest. In this paper, we propose a method to combine sensitivity encoding (SENSE), one of the standard methods for pMRI, and M-FOCUSS, an algorithm solving DCS reconstruction problem...
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