Abstract
Rotational motion artifacts are notably prevalent in magnetic resonance (MR) images, such as of head and brain. Even a slight rotation during the data acquisition can have a significantly adverse effect on the quality and the diagnostic value of the image. This paper presents a post-processing technique for reducing the effects of rotation at a constant angular velocity. The rotation is constrained to be within the imaging plane. The correction algorithm is based on the separable nature of the 2D Fourier transform, and uses the symmetric properties of the motion model to effectively reduce the reconstruction time. A method of estimating the constant angular velocity from the corrupted data is also incorporated. The performance of the algorithm is verified using a simulated phantom and motion. It has also been demonstrated to be robust against the presence of noise.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
