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    • 78. 发明授权
    • Method and system for compressed sensing image reconstruction
    • 压缩感知图像重建方法与系统
    • US09373159B2
    • 2016-06-21
    • US14409212
    • 2013-06-18
    • University Health Network
    • Sayed Masoud Hashemi AmroabadiPatrick R. GillNarinder S. Paul
    • G06K9/00A61B6/00G06T5/00G01R33/561G06T11/00G06T7/00A61B6/03A61B5/055
    • G06T5/001A61B5/055A61B6/03A61B6/501A61B6/5205G01R33/5611G06T7/0012G06T11/006G06T2211/424G06T2211/436
    • A Compressed Sensing (CS) based image reconstruction method and system is described herein which may be used to reduce the X-ray dose radiation in Computed Tomography (CT) or to decrease the scan duration in MR imaging (MRI). Methods and systems described herein may address problems that have hindered the clinical usage of CS, i.e. computation complexity and modeling problems. Using the described algorithm, high quality images may be recovered from undersampled data which may help to reduce the scan time and the exposed invasive radiations. Using the same set of data in conventional image reconstruction algorithms (e.g. Filtered Back Projection (FBP) in CT) may cause severe streak artifacts and may take significantly more time using Graphics Processing Units (GPU) and parallel clusters with the conventional CS-based methods. This method can be used other imaging modalities using Radon transform (such as C-Arm and electron tomography, for example).
    • 本文描述了基于压缩感测(CS)的图像重建方法和系统,其可以用于减少计算机断层扫描(CT)中的X射线剂量辐射或降低MR成像(MRI)中的扫描持续时间。 本文描述的方法和系统可以解决阻碍CS的临床使用的问题,即计算复杂性和建模问题。 使用所描述的算法,可以从欠采样数据中恢复高质量图像,这可能有助于减少扫描时间和暴露的侵入辐射。 在传统的图像重建算法(例如CT中的滤光反投影(FBP))中使用相同的数据集可能会导致严重的条纹伪影,并且可能会花费大量时间使用图形处理单元(GPU)和并行集群与传统的基于CS的方法 。 该方法可以使用其他成像方式使用Radon变换(例如C-Arm和电子层析成像)。