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    • 5. 发明申请
    • METHOD AND APPRARATUS OF MULTI-COIL MR IMAGING WITH HYBRID SPACE CALIBRATION
    • 用混合空间校准的多线圈成像的方法与应用
    • US20080024132A1
    • 2008-01-31
    • US11867186
    • 2007-10-04
    • Anja BrauPhilip BeattyStefan SkareRoland Bammer
    • Anja BrauPhilip BeattyStefan SkareRoland Bammer
    • G01R33/20
    • G01R33/5611
    • The present invention provides a system and method for parallel imaging that performs auto-calibrating reconstructions with a 2D (for 2D imaging) or 3D kernel (for 3D imaging) that exploits the computational efficiencies available when operating in certain data “domains” or “spaces”. The reconstruction process of multi-coil data is separated into a “training phase” and an “application phase” in which reconstruction weights are applied to acquired data to synthesize (replace) missing data. The choice of data space, i.e., k-space, hybrid space, or image space, in which each step occurs is independently optimized to reduce total reconstruction time for a given imaging application. As such, the invention retains the image quality benefits of using a 2D k-space kernel without the computational burden of applying a 2D k-space convolution kernel.
    • 本发明提供了一种用于并行成像的系统和方法,其使用2D(用于2D成像)或3D内核(用于3D成像)执行自动校准重建,其利用在某些数据“域”或“空间”中操作时可用的计算效率 “。 多线圈数据的重构过程分为“训练阶段”和“应用阶段”,其中重建权重应用于获取的数据以合成(替换)丢失的数据。 每个步骤发生的数据空间的选择,即k空间,混合空间或图像空间被独立地优化以减少给定成像应用的总重构时间。 因此,本发明保留了使用2D k空间内核的图像质量优点,而没有应用2D k空间卷积内核的计算负担。