Paper
25 May 1989 Iterative Motion Compensation and Estimation in Magnetic Resonance Imaging (MRI)
Joseph V. Fritz, Peter D. Scott, Vernice Bates
Author Affiliations +
Abstract
Motion artifacts in magnetic resonance images result from displacement of "isochromats" during the imaging interval. This motion is categorized into two classes: motion within a Free Induction Decay (FID) and motion between FID excitations. Furthermore, local regions in the spatial data being measured generally undergo unique motion profiles for each class, and each class may not consist of the same local segmentation. Models for each class are presented using a general digital signal processing (DSP) format and conversions from real world parameters to this normalized DSP domain are given. A multilevel motion model is then given, suggesting a layered approach to removing the spatial and class variant distortion functions. Finally, a method and simulation is presented for removing one of the more troublesome of these artifact layers, global patient movement.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joseph V. Fritz, Peter D. Scott, and Vernice Bates "Iterative Motion Compensation and Estimation in Magnetic Resonance Imaging (MRI)", Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); https://doi.org/10.1117/12.953243
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image processing

Motion models

Fourier transforms

Image segmentation

Digital signal processing

Magnetic resonance imaging

Medical imaging

Back to Top