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High-Resolution Imaging Using Keyhole-Based Compressed Sensing Averaging (CSAK) Technique

机译：使用基于锁孔的压缩传感平均 （CSAK） 技术进行高分辨率成像

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摘要

This study is to propose a magnetic resonance (MR) imaging technique, called as CSAK (compressed sensing averaging combined with a keyhole), and prove its possibility through in vivo experiment for high-resolution and fast imaging. For CSA, undersampling ratios of 25 %, 35 %, and 45 % were compared with a full k-space. Each undersampling ratio was composed of three subsets. High resolution CSAK images from the phantom and human subjects showed the increased signal-to-noise ratio (SNR) and depicted the anatomical structures more clearly. In addition, images with a 25 % undersampling ratio showed the highest SNR and reduced acquisition time by approximately 30 % relative to that of a full image. This study suggests that the proposed under-sampling method for images with higher spatial and/or temporal resolution could yield better results in medical applications. Therefore, the CS-averaging technique could solve the limitations of acquiring much higher resolution images in clinical 3T MR imaging.
机译：本研究提出一个磁共振(先生)成像技术,称为CSAK(压缩传感平均结合一个钥匙孔),通过体内实验证明其可能性对于高分辨率、快速成像。欠采样率为25%,35%,45%相比之下,一个完整的k-space。比例是由三个子集。决议CSAK幻影和人类的照片受试者显示,提高信噪比比(信噪比),描绘了解剖结构更清晰。25%的欠采样比率显示最高的信噪比和收集时间减少了约30%相对完整的形象。表明该under-sampling方法与更高的图像空间和/或时间在医学决议会产生更好的结果应用程序。技术能解决的局限性获得更高分辨率的图像临床3 t先生成像。

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  • 来源
    《Journal of Magnetics》 |2020年第2期|164-171|共8页
  • 作者

    Kyung-Jin Lee; Chan-A Park; Dae-hun KangYoung-Don SonHang-Keun KimYeong-Bae LeeChang-Ki Kang;

  • 作者单位

    Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences & Technology, Gachon University, Incheon 21999, Republic of Korea;

    Biomedical Engineering Research Center, Gachon University, Incheon 21936, Republic of Korea;

    Department of Radiology, Mayo Clinic, Rochester, MN 55905, USADepartment of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences & Technology, Gachon University, Incheon 21999, Republic of Korea, Biomedical Engineering Research Center, Gachon University, Incheon 21936, Republic of Korea, DepDepartment of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences & Technology, Gachon University, Incheon 21999, Republic of Korea, Biomedical Engineering Research Center, Gachon University, Incheon 21936, Republic of Korea, NeuDepartment of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences & Technology, Gachon University, Incheon 21999, Republic of Korea, Neuroscience Research Institute, Gachon University, Incheon 21565, Republic of Korea, Department;

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