https://scholars.lib.ntu.edu.tw/handle/123456789/468774
標題: | Correction for susceptibility-induced distortion in echo-planar imaging using field maps and model-based point spread function | 作者: | Hsu Y.-C. Hsu C.-H. WEN-YIH TSENG |
公開日期: | 2009 | 卷: | 28 | 期: | 11 | 起(迄)頁: | 1850-1857 | 來源出版物: | IEEE Transactions on Medical Imaging | 摘要: | Susceptibility-induced distortion is one of the major artifacts in echo-planar imaging (EPI), and many solutions have been proposed for the problem, including the Fourier method and the point spread function (PSF) method. In this paper, a framework unifying both methods is presented. Under this framework, a model-based PSF method is proposed in which the PSF of the source object is modeled along with a single field map measured by TE-offset reference scans. EPI images of a phantom and a healthy human subject were acquired, and the results of distortion correction by the Fourier method, linear interpolation method, and the model-based PSF method were compared. The results showed that the model-based PSF method could correct for geometric distortion and signal intensity distortion satisfactorily, avoiding the rippling artifact shown in the Fourier method. In conclusion, the proposed framework gave us an overall picture of how different correction methods work. The model-based PSF method, which required fewer reference scans and less computational load, was more clinically feasible than other methods. ? 2009 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350759677&doi=10.1109%2fTMI.2009.2026474&partnerID=40&md5=a7ac3f169ebbd9f6a976002f31aa0b77 https://scholars.lib.ntu.edu.tw/handle/123456789/468774 |
ISSN: | 0278-0062 | DOI: | 10.1109/TMI.2009.2026474 | SDG/關鍵字: | Computational loads; Correction method; Distortion; Distortion correction; Echo planar imaging; Echo-planar imaging (EPI); Field map; Fourier methods; Geometric distortion; Healthy humans; Linear Interpolation; Model-based; Point spread function (PSF).; Point-Spread function; Point-spread functions; Signal intensities; Fourier transforms; Magnetic susceptibility; Optical transfer function; algorithm; article; brain; Fourier analysis; human; image processing; image quality; methodology; nuclear magnetic resonance imaging; signal processing; Algorithms; Brain; Fourier Analysis; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Phantoms, Imaging; Signal Processing, Computer-Assisted |
顯示於: | 醫療器材與醫學影像研究所 |
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