MODEL-BASED IMAGE RECONSTRUCTION FOR MRI.
MODEL-BASED IMAGE RECONSTRUCTION FOR MRI.
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DOI：
10.1109/msp.2010.936726
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发表时间：
2010-07-01
影响因子：
14.9
通讯作者：
Fessler JA
中科院分区：
文献类型：
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作者：
Fessler JA
磁共振成像（MRI）是一种复杂和通用的医学成像方式。传统上，磁共振图像是通过简单的逆二维或三维快速傅里叶变换（FFT）从原始测量中重建的。然而，越来越多的MRI应用中，简单的反FFT是不够的，例如，由于非笛卡尔采样模式，非傅立叶物理效应，非线性磁场，或故意欠采样以减少扫描时间。这样的考虑导致了对MRI中基于模型的图像重建方法的兴趣增加。
Magnetic resonance imaging (MRI) is a sophisticated and versatile medical imaging modality. Traditionally, MR images are reconstructed from the raw measurements by a simple inverse 2D or 3D fast Fourier transform (FFT). However, there are a growing number of MRI applications where a simple inverse FFT is inadequate, e.g., due to non-Cartesian sampling patterns, non-Fourier physical effects, nonlinear magnetic fields, or deliberate under-sampling to reduce scan times. Such considerations have led to increasing interest in methods for model-based image reconstruction in MRI.