Journal article
Noise reduction in MR angiography with nonlinear anisotropic filtering
Journal of magnetic resonance imaging, Vol.19(5), pp.632-639
05/2004
DOI: 10.1002/jmri.20047
PMID: 15112314
Abstract
To evaluate three-dimensional nonlinear anisotropic filtering in suppressing image noise in high spatial resolution magnetic resonance angiograms (MRA) acquired with hybrid undersampled projection reconstruction and phase contrast vastly undersampled isotropic projection reconstruction (PC-VIPR).
Three-dimensional nonlinear anisotropic filtering was quantitatively analyzed and evaluated through the measurement of contrast to noise ratio (CNR) in PC-VIPR images and contrast enhanced peripheral MRA images. To filter MRA images with ultra-high spatial resolution and poor CNR, a spatial frequency dependent nonlinear anisotropic filtering algorithm was proposed that uses two-step processing to filter the whole spatial frequency data.
Three-dimensional nonlinear anisotropic filtering was shown to be effective in suppressing noise and improving CNR in MRA with isotropic spatial resolution. Higher CNR was achieved using spatial frequency dependent nonlinear anisotropic filtering. A typical CNR gain of between 50-100% was shown in our studies.
Three-dimensional nonlinear anisotropic filtering significantly improved CNR in MRA images with isotropic spatial resolution. Spatial frequency dependent nonlinear anisotropic filtering further improved CNR for MRA images with ultra-high spatial resolution and low CNR.
Details
- Title: Subtitle
- Noise reduction in MR angiography with nonlinear anisotropic filtering
- Creators
- Jiang Du - University of Wisconsin–MadisonSean B Fain - University of Wisconsin–MadisonTianliang Gu - University of Wisconsin–MadisonThomas M Grist - University of Wisconsin–MadisonCharles A Mistretta - University of Wisconsin–Madison
- Resource Type
- Journal article
- Publication Details
- Journal of magnetic resonance imaging, Vol.19(5), pp.632-639
- DOI
- 10.1002/jmri.20047
- PMID
- 15112314
- NLM abbreviation
- J Magn Reson Imaging
- ISSN
- 1053-1807
- eISSN
- 1522-2586
- Grant note
- R01-HL52425 / NHLBI NIH HHS R01 HL51370 / NHLBI NIH HHS
- Language
- English
- Date published
- 05/2004
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Health, Sport, and Human Physiology
- Record Identifier
- 9984274959402771
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