【摘 要】
：
Parallel MRI uses multiple receiver coils to acquire MRI data in k-space.The fully acquired parallel MRI data provides a redundant representation of the ima
【出 处】
：
Computational Biomedical Imaging Workshop(2015计算生物医学成像研讨会)
论文部分内容阅读
Parallel MRI uses multiple receiver coils to acquire MRI data in k-space.The fully acquired parallel MRI data provides a redundant representation of the image of the scanning object,which enables accelerated data acquisition via subsampling.Traditional approaches for recovering full k-space data from the subsampled one often relies on explicit knowledge of the coil sensitity maps or some fully acquired auto-calibration region centred at the k-space.In this talk,we show that for dynamic parallel MRI,by exploring the data redundancy along the time dimension,one can have simultaneous reconstruction of the coil sensitivity maps as well as the image sequence of the scanning object without requiring the existance of any fully acquired auto-calibration region.The proposed approach for calibrationless dynamic parallel MRI reconstruction is consisted of two phases:(I)coarse recovery of the full data followed by estimation of the coil senstivity maps,(II)refined recovery of the full parallel MRI data using the estimated coil sensitivity maps.The effectiveness of the proposed approach is demonstrated through numerical experiments.
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