MRI Image Enhancement By PROPELLER Data Fusion

K. Malczewski
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引用次数: 4

Abstract

The MRI image reconstruction supported by Toeplitz- based iterative super-resolution algorithm is presented in the paper. It is shown that the approach improves MRI spatial resolution in cases when multi-blade sequences are used. The PROPELLER MRI method collects data from rectangular regions (blades) rotated around the origin of the k-space. Inter-blade patient motion is the premise for the use of super-resolution technique. Images obtained from sets of irregularly located frequency domain samples are combined into the high resolution MRI image. The super-resolution reconstruction replaces usually applied direct averaging of low- resolution images. Furthermore high order affine motion model has been applied.
MRI图像增强的螺旋桨数据融合
提出了一种基于Toeplitz迭代超分辨率算法的MRI图像重建方法。结果表明,在使用多叶片序列的情况下,该方法提高了MRI的空间分辨率。PROPELLER MRI方法从围绕k空间原点旋转的矩形区域(叶片)收集数据。患者的叶片间运动是使用超分辨率技术的前提。从一组不规则位置的频域样本中获得的图像被合并成高分辨率的MRI图像。超分辨率重建取代了通常采用的对低分辨率图像进行直接平均的方法。此外,还应用了高阶仿射运动模型。
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