研究论文

一种以超分辨率理论为基础的磁共振眼球成像方法

  • 李宇宙 ,
  • 张喆 ,
  • 陈泉荣 ,
  • 郭华
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  • 1. 清华大学 医学院 生物医学工程系, 生物医学影像研究中心, 北京 100084;
    2. Departments of Ophthalmology and Radiology, NYU Langone Medical Center, New York University School of Medicine, New York 10016, United States

收稿日期: 2017-02-23

  修回日期: 2017-10-23

  网络出版日期: 2017-11-29

A Novel Method for Magnetic Resonance Ocular Imaging Using Super-Resolution Reconstruction

  • LI Yu-zhou ,
  • ZHANG Zhe ,
  • CHAN Kevin Chuen-wing ,
  • GUO Hua
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  • 1. Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China;
    2. Departments of Ophthalmology and Radiology, NYU Langone Medical Center, New York University School of Medicine, New York 10016, United States

Received date: 2017-02-23

  Revised date: 2017-10-23

  Online published: 2017-11-29

摘要

磁共振成像(MRI)是一种无电离辐射的非介入性的眼内肿瘤检测方法,但分辨率和运动伪影是成像过程中不易克服的困难.以往的扫描方法或是不可避免的引入运动伪影,或是需要受试者做精确的配合,增加了成像的难度,给受试者带来不舒适的体验.本文提出了一种以超分辨率理论为基础的新的磁共振眼球成像方法,使用一种特制的眼球线圈,对眼部区域扫描一系列动态的图像,使得不同方向上的采集分辨率互补.最后经过预处理、配准、超分辨率重建等操作,得到高质量的磁共振眼球图像.实验结果表明,这种方法可以在不需要受试者做额外配合工作的情况下,得到更加清晰的磁共振眼球图像.

本文引用格式

李宇宙 , 张喆 , 陈泉荣 , 郭华 . 一种以超分辨率理论为基础的磁共振眼球成像方法[J]. 波谱学杂志, 2017 , 34(4) : 439 -452 . DOI: 10.11938/cjmr20172562

Abstract

Magnetic resonance imaging (MRI) is a noninvasive intraocular tumor detection method without ionizing radiation. However, resolution limitation and motion artifacts are difficult to overcome in the imaging process. Conventional scanning methods inevitably introduce motion artifacts, or require the subjects to cooperate for accurate eye fixation, increasing the difficulty of imaging and giving the subject uncomfortable experiences. In this work, a new MRI method based on super-resolution theory is proposed, which uses a specialized orbit coil to scan a series of dynamic images of the eyeball, such that the acquisition resolution in different directions is complementary. High-resolution eyeball images with minimal motion artifacts could then be obtained after pre-processing, registration, super-resolution reconstruction and other operations. The study showed that the method proposed can be used to obtain clear eyeball images without the requirement of eye fixation.

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