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Purpose
The goal of this study was to develop a 3D acceleration and reconstruction method to improve image quality and resolution of background‐suppressed arterial spin‐labeled perfusion MRI.
Methods
Accelerated acquisition was implemented in all three k‐space dimensions in a stack‐of‐spirals readout using variable density spirals and partition undersampling. A single 3D self‐consistent parallel...
Through theoretical analysis and numerical simulation, this paper proves that the classical bistable system is existence of output saturation. When the system output reaches saturation, the output signal to noise ratio (SNR) will drop rapidly, and it's poor to extract a useful signal from the strong background noise. Therefore, we put forward a new piecewise hybrid system, and prove that there is...
Data analysis is challenging in arterial spin labeling (ASL) perfusion fMRI due to the intrinsic low SNR of ASL data. To boost up the detection sensitivity, this paper presented a multivariate method based group analysis approach to analyze ASL perfusion fMRI data. A spatial discriminance map (SDM) was first extracted for each subject by support vector machine learning (SVM) algorithm; a population...
Data analysis is challenging in arterial spin labeling (ASL) perfusion fMRI due to the intrinsic low SNR of ASL data. To boost up the detection sensitivity, this paper presented a multivariate method based group analysis approach to analyze ASL perfusion fMRI data. A spatial discriminance map (SDM) was first extracted for each subject by support vector machine learning (SVM) algorithm; a population...
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