Display Settings:

Format

Send to:

Choose Destination
We are sorry, but NCBI web applications do not support your browser and may not function properly. More information
    IEEE Trans Med Imaging. 2008 Oct;27(10):1389-403. doi: 10.1109/TMI.2008.920609.

    Restoration of DWI data using a Rician LMMSE estimator.

    Source

    Laboratory for Mathematics in Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.

    Abstract

    This paper introduces and analyzes a linear minimum mean square error (LMMSE) estimator using a Rician noise model and its recursive version (RLMMSE) for the restoration of diffusion weighted images. A method to estimate the noise level based on local estimations of mean or variance is used to automatically parametrize the estimator. The restoration performance is evaluated using quality indexes and compared to alternative estimation schemes. The overall scheme is simple, robust, fast, and improves estimations. Filtering diffusion weighted magnetic resonance imaging (DW-MRI) with the proposed methodology leads to more accurate tensor estimations. Real and synthetic datasets are analyzed.

    PMID:
    18815091
    [PubMed - indexed for MEDLINE]
    PMCID:
    PMC2756835
    Free PMC Article

    Images from this publication.See all images (20)Free text

    Fig. 1
    Fig. 2
    Fig. 3
    Fig. 4
    Fig. 5
    Fig. 6
    Fig. 7
    Fig. 8
    Fig. 9
    Fig. 10
    Fig. 11
    Fig. 12
    Fig. 13
    Fig. 14
    Fig. 15
    Fig. 16
    Fig. 17
    Fig. 18
    Fig. 19
    Fig. 20

      Supplemental Content

      Icon for IEEE Engineering in Medicine and Biology Society Icon for PubMed Central

      Save items

      Recent activity

      Your browsing activity is empty.

      Activity recording is turned off.

      Turn recording back on

      See more...
      Write to the Help Desk