학술논문
Linear Predictability in Magnetic Resonance Imaging Reconstruction: Leveraging Shift-Invariant Fourier Structure for Faster and Better Imaging
Document Type
Periodical
Author
Source
IEEE Signal Processing Magazine IEEE Signal Process. Mag. Signal Processing Magazine, IEEE. 37(1):69-82 Jan, 2020
Subject
Language
ISSN
1053-5888
1558-0792
1558-0792
Abstract
Magnetic resonance imaging (MRI) is a powerful and highly versatile imaging technique that has had a tremendous impact in both science and medicine. Unfortunately, MRI data acquisition is also time consuming and expensive, which has thus far prevented it from delivering on its full potential. As a result, the MRI field has always been interested in signal processing methods that can generate high-quality images from a small amount of measured data. These methods can increase the comfort of the person being scanned, enable higher-quality assessment of time-varying phenomena, improve scanner throughput, and/or allow more detailed and comprehensive MRI examinations within a fixed total imaging time.