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首页> 外文期刊>Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine >Correcting image blur in spiral, retraced in/out (RIO) acquisitions using a maximized energy objective
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Correcting image blur in spiral, retraced in/out (RIO) acquisitions using a maximized energy objective

机译:使用最大化的能量目标校正螺旋中的图像模糊,回到/缩小(RIO)采集

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Purpose Images acquired with spiral k‐space trajectories can suffer from off‐resonance image blur. Previous work showed that averaging 2 images acquired with a retraced, in/out (RIO) trajectory self‐corrects image blur so long as off‐resonant spins accrue less than 1 half‐cycle of relative phase over the readout. Practical scenarios frequently exceed this threshold. Here, we derive and characterize a more‐robust off‐resonance image blur correction method for RIO acquisitions. Methods Phantom and human volunteer data were acquired using a RIO trajectory with readout durations ranging from 4 to 60 ms. The resulting images were deblurred using 3 candidate methods: conventional linear correction of the component images; semiautomatic deblurring of the component images using an established minimized phase objective function; and semiautomatic deblurring of the average of the component images using a maximized energy objective function, derived below. Deblurring errors were estimated relative to images acquired with 4 ms readouts. Results All 3 methods converged to similar solutions in cases where less than 2 and 4 cycles of phase accrued over the readout in in vivo and phantom images, respectively (13 ms readout at 3T). Above this threshold, the linear and minimized phase methods introduced several errors. The maximized energy function provided accurate deblurring so long as less than 6 and 10 cycles of phase accrued over the readout in in vivo and phantom images, respectively (34 ms readout at 3T). Conclusion The maximized energy objective function can accurately deblur RIO acquisitions over a wide spectrum of off resonance frequencies.
机译:用螺旋K空间轨迹获取的目的图像可能会遭受偏移图像模糊。以前的工作表明,使用Retraced,IN / OUT(RIO)轨迹自我校正图像模糊的平均2图像,只要离谐振旋转在读出时比相对相位的相对相位的半循环缩短。实际情况频繁超过此阈值。在这里,我们导出并表征了用于RIO采集的更强大的偏离谐振图像模糊校正方法。方法使用RIO轨迹获取幻像和人为志愿者数据,RIO轨迹,读出持续时间范围为4至60毫秒。使用3个候选方法进行解析出所得图像:组件图像的常规线性校正;使用建立的最小化相物目标函数的组分图像的半自动去纹理;使用下面的最大化能象函数的组分图像的平均值和半自动去掩饰。相对于用4ms读数获取的图像估计去纹误差。结果所有3种方法在体内和幻像图像中读出的读出的额定相位率小于2和4个循环的情况下,所有3种方法都分别归因于相似的溶液。在该阈值之上,线性和最小化相方法引入了几个误差。最大化的能量函数分别提供精确的去孔,只要在体内和幻像图像中读出的读出小于6和10个相位累积的相位累积(3. 34毫秒读出)。结论最大化的能量目标函数可以在宽的偏移频率上准确地去释放RIO获取。

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