k‐Space deep learning for reference‐free EPI ghost correction

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Image-based ghost correction for interleaved EPI.

A new image-based ghost correction technique is described for general interleaved EPI. This technique works reliably with both even- and odd-number interleaved EPI sequences. It estimates the phase distortions causing the ghosts as a general function of (x,y) even in the presence of a significant overlap of parent image and ghosts. If the phase distortion is assumed to be a function of x (frequ...

متن کامل

Robust method for EPI ghost correction

Introduction: An important step in the reconstruction of an EPI scan is the phase correction between the odd and even lines to reduce the Nyquist ghost. Typically, the correction is performed for each channel, slice, and repetition of a data set separately. We propose a phase correction technique, which determines the phase correction differences between channels and slices with high accuracy i...

متن کامل

Image-based ghost correction for general interleaved EPI

Introduction A new image-based ghost correction technique is described for general interleaved EPI. It estimates the phase distortions causing the ghosts as a general function of (x,y), even in the presence of significant overlap of parent image and ghosts. If the phase distortion is assumed to be a function of x (frequency encode direction) only, the new technique is similar to a recently publ...

متن کامل

Image-based EPI ghost artifact reduction using iterative phase correction

Abstract. We describe an iterative algorithm for reducing EPI ghost artifacts using image-based phase corrections. Ghosts outside the parent object are set to the background level and a model k-space is obtained from the Fourier transform of the resulting image. The phase offsets in each k-space line are estimated by comparison with the corresponding line in the model k-space. We hypothesise th...

متن کامل

Computational ghost imaging using deep learning

Computational ghost imaging (CGI) is a single-pixel imaging technique that exploits the correlation between known random patterns and the measured intensity of light transmitted (or reflected) by an object. Although CGI can obtain twoor threedimensional images with a single or a few bucket detectors, the quality of the reconstructed images is reduced by noise due to the reconstruction of images...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Magnetic Resonance in Medicine

سال: 2019

ISSN: 0740-3194,1522-2594

DOI: 10.1002/mrm.27896