Improved image reconstruction from sensitivity-encoded data by wavelet denoising and Tokhonov regularization

Zhi Pei Liang, R. Bammer, Jim Ji, N. J. Pelc, G. H. Glover

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Parallel magnetic resonance imaging through sensitivity encoding using multiple receiver coils has emerged as an effective tool to reduce imaging time. However, errors in both the estimated coil sensitivity maps and the measured data, and the ill-conditioned nature of the coefficient matrix (often associated with non-localized coils) can degrade image quality significantly, limiting speed enhancements. In this paper, we propose to use wavelet denoising to reduce noise in the coil sensitivity maps and a specially-designed Tikhonov regularization scheme to solve the ill-conditioned matrix equation. Experimental results show that these techniques produce significantly better images (with an improved signal-to-noise ratio and reduced aliasing artifacts) than conventional reconstruction methods based on matrix inversion with a diagonal regularization matrix.

Original languageEnglish
Title of host publicationBiomedical Imaging V - Proceedings of the 5th IEEE EMBS International Summer School on Biomedical Imaging, SSBI 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)0780375076, 9780780375079
DOIs
Publication statusPublished - 2002
Externally publishedYes
Event5th IEEE EMBS International Summer School on Biomedical Imaging, SSBI 2002 - Berder Island, France
Duration: 15 Jun 200223 Jun 2002

Other

Other5th IEEE EMBS International Summer School on Biomedical Imaging, SSBI 2002
CountryFrance
CityBerder Island
Period15/6/0223/6/02

Fingerprint

Computer-Assisted Image Processing
Signal-To-Noise Ratio
Artifacts
Noise
Magnetic Resonance Imaging

ASJC Scopus subject areas

  • Biotechnology
  • Radiology Nuclear Medicine and imaging

Cite this

Liang, Z. P., Bammer, R., Ji, J., Pelc, N. J., & Glover, G. H. (2002). Improved image reconstruction from sensitivity-encoded data by wavelet denoising and Tokhonov regularization. In Biomedical Imaging V - Proceedings of the 5th IEEE EMBS International Summer School on Biomedical Imaging, SSBI 2002 [1233981] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSBI.2002.1233981

Improved image reconstruction from sensitivity-encoded data by wavelet denoising and Tokhonov regularization. / Liang, Zhi Pei; Bammer, R.; Ji, Jim; Pelc, N. J.; Glover, G. H.

Biomedical Imaging V - Proceedings of the 5th IEEE EMBS International Summer School on Biomedical Imaging, SSBI 2002. Institute of Electrical and Electronics Engineers Inc., 2002. 1233981.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Liang, ZP, Bammer, R, Ji, J, Pelc, NJ & Glover, GH 2002, Improved image reconstruction from sensitivity-encoded data by wavelet denoising and Tokhonov regularization. in Biomedical Imaging V - Proceedings of the 5th IEEE EMBS International Summer School on Biomedical Imaging, SSBI 2002., 1233981, Institute of Electrical and Electronics Engineers Inc., 5th IEEE EMBS International Summer School on Biomedical Imaging, SSBI 2002, Berder Island, France, 15/6/02. https://doi.org/10.1109/SSBI.2002.1233981
Liang ZP, Bammer R, Ji J, Pelc NJ, Glover GH. Improved image reconstruction from sensitivity-encoded data by wavelet denoising and Tokhonov regularization. In Biomedical Imaging V - Proceedings of the 5th IEEE EMBS International Summer School on Biomedical Imaging, SSBI 2002. Institute of Electrical and Electronics Engineers Inc. 2002. 1233981 https://doi.org/10.1109/SSBI.2002.1233981
Liang, Zhi Pei ; Bammer, R. ; Ji, Jim ; Pelc, N. J. ; Glover, G. H. / Improved image reconstruction from sensitivity-encoded data by wavelet denoising and Tokhonov regularization. Biomedical Imaging V - Proceedings of the 5th IEEE EMBS International Summer School on Biomedical Imaging, SSBI 2002. Institute of Electrical and Electronics Engineers Inc., 2002.
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