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

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

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

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 (US)
Title of host publicationBiomedical Imaging V - Proceedings of the 5th IEEE EMBS International Summer School on Biomedical Imaging, SSBI 2002
EditorsJean-Louis Coatrieux, Christian Roux
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4-7
Number of pages4
ISBN (Electronic)0780375076, 9780780375079
DOIs
StatePublished - 2002
Event5th IEEE EMBS International Summer School on Biomedical Imaging, SSBI 2002 - Berder Island, France
Duration: Jun 15 2002Jun 23 2002

Publication series

NameBiomedical Imaging V - Proceedings of the 5th IEEE EMBS International Summer School on Biomedical Imaging, SSBI 2002

Other

Other5th IEEE EMBS International Summer School on Biomedical Imaging, SSBI 2002
Country/TerritoryFrance
CityBerder Island
Period6/15/026/23/02

ASJC Scopus subject areas

  • Biotechnology
  • Radiology Nuclear Medicine and imaging

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