Tags

Type your tag names separated by a space and hit enter

Pseudo-Polar Fourier Transform-Based Compressed Sensing MRI.
IEEE Trans Biomed Eng 2017; 64(4):816-825IT

Abstract

The use of radial k-space trajectories has drawn strong interest from researchers for their potential in developing fast imaging methods in magnetic resonance imaging (MRI). Compared with conventional Cartesian trajectories, radial sampling collects more data from the central k-space region and the radially sampled data are more incoherent. These properties are very suitable for compressed sensing (CS)-based fast imaging. When reconstructing under-sampled radial data with CS, regridding and inverse-regridding are needed to transfer data between the image and frequency domains. In each CS iteration, two-dimensional interpolations are implemented twice in the regridding and inverse-regridding, introducing errors and undermining reconstruction quality. To overcome these problems, a radial-like pseudo-polar (PP) trajectory is proposed for the CS MRI applications. The PP trajectory preserves all the essential features of radial trajectory and allows an image reconstruction with PP fast Fourier transform (PPFFT) instead of interpolations. This paper attempts to investigate the performance of PP trajectory-based CS-MRI. In CS-based image reconstruction, the transformation of PP-sampled k-space data into the image domain is realized through PPFFT, which is based on the standard one-dimensional FFT and the fractional Fourier transform. To evaluate the effectiveness of the proposed methods, both numerical and experimental data are used to compare the new methods with conventional approaches. The proposed method provided high-quality reconstruction of the MR images with over 2-dB gain in peak signal-to-noise ratio while keeping structural similarity over 0.88 in different situations. Compared with the conventional radial sampling-based CS MRI methods, the proposed method achieves a more accurate reconstruction with respect to image detail/edge preservation and artifact suppression. The successful implementation of the PP subsampling-based CS scheme provides a practical and accurate CS-based rapid imaging method for clinical applications.

Authors

No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

27305666

Citation

Yang, Yang, et al. "Pseudo-Polar Fourier Transform-Based Compressed Sensing MRI." IEEE Transactions On Bio-medical Engineering, vol. 64, no. 4, 2017, pp. 816-825.
Yang Y, Liu F, Li M, et al. Pseudo-Polar Fourier Transform-Based Compressed Sensing MRI. IEEE Trans Biomed Eng. 2017;64(4):816-825.
Yang, Y., Liu, F., Li, M., Jin, J., Weber, E., Liu, Q., & Crozier, S. (2017). Pseudo-Polar Fourier Transform-Based Compressed Sensing MRI. IEEE Transactions On Bio-medical Engineering, 64(4), pp. 816-825. doi:10.1109/TBME.2016.2578930.
Yang Y, et al. Pseudo-Polar Fourier Transform-Based Compressed Sensing MRI. IEEE Trans Biomed Eng. 2017;64(4):816-825. PubMed PMID: 27305666.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Pseudo-Polar Fourier Transform-Based Compressed Sensing MRI. AU - Yang,Yang, AU - Liu,Feng, AU - Li,Mingyan, AU - Jin,Jin, AU - Weber,Ewald, AU - Liu,Qinghuo, AU - Crozier,Stuart, Y1 - 2016/06/09/ PY - 2016/6/16/pubmed PY - 2017/7/14/medline PY - 2016/6/16/entrez SP - 816 EP - 825 JF - IEEE transactions on bio-medical engineering JO - IEEE Trans Biomed Eng VL - 64 IS - 4 N2 - The use of radial k-space trajectories has drawn strong interest from researchers for their potential in developing fast imaging methods in magnetic resonance imaging (MRI). Compared with conventional Cartesian trajectories, radial sampling collects more data from the central k-space region and the radially sampled data are more incoherent. These properties are very suitable for compressed sensing (CS)-based fast imaging. When reconstructing under-sampled radial data with CS, regridding and inverse-regridding are needed to transfer data between the image and frequency domains. In each CS iteration, two-dimensional interpolations are implemented twice in the regridding and inverse-regridding, introducing errors and undermining reconstruction quality. To overcome these problems, a radial-like pseudo-polar (PP) trajectory is proposed for the CS MRI applications. The PP trajectory preserves all the essential features of radial trajectory and allows an image reconstruction with PP fast Fourier transform (PPFFT) instead of interpolations. This paper attempts to investigate the performance of PP trajectory-based CS-MRI. In CS-based image reconstruction, the transformation of PP-sampled k-space data into the image domain is realized through PPFFT, which is based on the standard one-dimensional FFT and the fractional Fourier transform. To evaluate the effectiveness of the proposed methods, both numerical and experimental data are used to compare the new methods with conventional approaches. The proposed method provided high-quality reconstruction of the MR images with over 2-dB gain in peak signal-to-noise ratio while keeping structural similarity over 0.88 in different situations. Compared with the conventional radial sampling-based CS MRI methods, the proposed method achieves a more accurate reconstruction with respect to image detail/edge preservation and artifact suppression. The successful implementation of the PP subsampling-based CS scheme provides a practical and accurate CS-based rapid imaging method for clinical applications. SN - 1558-2531 UR - https://www.unboundmedicine.com/medline/citation/27305666/Pseudo_Polar_Fourier_Transform_Based_Compressed_Sensing_MRI_ L2 - https://dx.doi.org/10.1109/TBME.2016.2578930 DB - PRIME DP - Unbound Medicine ER -