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[The encoding and reconstruction of parallel MRI].

Xiaofang Liu¹, Yongli Chen, Xiuzi Ye

¹College of Computer Science, Zhejiang University, Hangzhou 310027, China. liuxfang@cjlu.edu.cn

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi

|May 21, 2010

Summary

Parallel MRI reconstruction techniques are reviewed, distinguishing between k-space and image-domain methods for undersampled data. This comparison clarifies common principles and differences in parallel imaging reconstruction.

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Area of Science:

Medical Imaging
Magnetic Resonance Imaging

Context:

Parallel MRI has advanced significantly, leading to diverse parallel imaging techniques.
Reconstruction methods are the primary differentiator among these techniques.

Purpose:

To review basic parallel MRI reconstruction approaches.
To highlight common principles and differences between k-space and image-domain methods.
To discuss noise propagation and future challenges in parallel imaging.

Summary:

This paper elaborates on encoding mechanisms and sampling strategies crucial for parallel MRI reconstruction.
It distinguishes between k-space and image-domain approaches based on how undersampled multiple-coil data is processed.
Discussions on noise control and future research directions are included.

Impact:

Provides a clear overview of parallel MRI reconstruction strategies.
Aids researchers in understanding and selecting appropriate methods for undersampled data.
Identifies key areas for future development in parallel imaging technology.