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Updated: May 27, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

[Regularized inhomogeneity correction method for phased array image in magnetic resonance imaging].

Hongyu Guo¹, Xiaomin Pei, Weitao Luo

¹School of Electrical Engineering, Shenyang Univrsity of Technology, Shenyang 110023, China. guohurry@gmail.com

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

|November 22, 2011

Summary

This summary is machine-generated.

This study introduces a new regularized least square method for combining phased array MRI images. This technique significantly improves image uniformity compared to the standard Sum-of-Squares (SOS) algorithm.

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Area of Science:

Magnetic Resonance Imaging (MRI)
Medical Imaging
Signal Processing

Context:

Phased array coils enhance MRI by improving signal-to-noise ratio (SNR), field-of-view (FOV), and reducing scan times.
The conventional Sum-of-Squares (SOS) algorithm for phased array image reconstruction often results in image inhomogeneity.

Purpose:

To propose a novel regularized least square method for improved phased array MRI image combination.
To address the inhomogeneity issue inherent in the SOS reconstruction algorithm.

Summary:

A new regularized least square method is presented for phased array coil image combination.
This method utilizes an additional reference scan to acquire coil sensitivity maps and reference data for regularization.
Experimental results demonstrate substantial improvements in image uniformity for both phantoms and volunteers.

Impact:

Enhances the diagnostic quality of MRI scans by providing more uniform images.
Offers a superior alternative to the SOS algorithm for phased array MRI reconstruction.
Potential for wider adoption in clinical MRI protocols to improve image consistency.