Stochastic Oscillation Undersampling to Reduce Frequency Aliasing Artifacts in the Magnetic Resonance Imaging
Due to the high linear correlation of the standard sampling trajectory, magnetic resonance imaging (MRI) undersampling reconstruction inevitably leads to frequency aliasing. A stochastic oscillation k-space sampling method is proposed to reduce aliasing artifacts in MRI. The
sampling trajectory based on stochastic oscillation significantly reduces the linear correlation. Moreover, in k-space, the energy of the image is mainly concentrated in the central area, and the variable density method of the trajectory can effectively reduce the sampling rate under
the same effect. Finally, the linear Bregman method is used for MR image reconstruction. Experimental results showed that this method can effectively reduce the aliasing effect caused by MRI reconstruction, especially at low sampling rate.
Keywords: FREQUENCY ALIASING REDUCTION; MAGNETIC RESONANCE IMAGING RECONSTRUCTION; STOCHASTIC OSCILLATION; UNDERSAMPLING TRAJECTORY
Document Type: Research Article
Publication date: 01 May 2019
- Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
- Editorial Board
- Information for Authors
- Subscribe to this Title
- Ingenta Connect is not responsible for the content or availability of external websites
- Access Key
- Free content
- Partial Free content
- New content
- Open access content
- Partial Open access content
- Subscribed content
- Partial Subscribed content
- Free trial content