A synthetic method for improving magnetic resonance image contrast: Simulation and phantom study

Yun-Ni Ting, Po-Chou Chen, Cheng-Hsin Wang, Herng-Hua Chang, W. Chu
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Abstract

Magnetic resonance imaging has been widely applied in many clinical diagnoses. In order to increase the accuracy of diagnosis, it is crucial to improve the image quality. This paper proposed a method that modifies the bilateral filter with automatic parameter selection in local contrast correction (LCC) capable to adjust image contrast while maintaining high image quality in MRI. The proposed approach was validated by using both simulated images and MR images of an ACR phantom. The results confirmed that the proposed method outperforms several existing methods in both quantitative measurements and visual evaluations.
一种提高磁共振图像对比度的综合方法:仿真与模体研究
磁共振成像已广泛应用于许多临床诊断。为了提高诊断的准确性,提高图像质量是至关重要的。本文提出了一种采用局部对比度校正(LCC)中参数自动选择的双侧滤波器的改进方法,该方法能够在保持MRI高图像质量的同时调节图像对比度。采用ACR模型的仿真图像和MR图像对该方法进行了验证。结果证实,该方法在定量测量和视觉评价方面优于现有的几种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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