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Nonlinear Anisotropic Filtering of MRI Data
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Institution: |
1Commun Communication Technology Laboratory, Swiss Federal Institute of Technology ETH, Zurich, Switzerland. 2Surgical Planning Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. 3Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. |
Publisher: |
IEEE Engineering in Medicine and Biology Society |
Publication Date: |
Nov-1992 |
Volume Number: |
11 |
Issue Number: |
2 |
Pages: |
221-232 |
Citation: |
IEEE Trans Med Imaging. 1992;11(2):221-32. |
PubMed ID: |
18218376 |
Keywords: |
Biomedical Image Processing, Magnetic Resonance Imaging, Signal-to-noise, SNR, 3D Edge-preserving smoothing |
Appears in Collections: |
SPL, NCIGT |
Sponsors: |
Swiss National Fundation 4018-11082 |
Generated Citation: |
Gerig G., Kübler O., Kikinis R., Jolesz F.A. Nonlinear Anisotropic Filtering of MRI Data. IEEE Trans Med Imaging. 1992;11(2):221-32. PMID: 18218376. |
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Despite significant improvements in image quality over the past several years, the full exploitation of magnetic resonance image (MRI) data is often limited by low signal to noise ratio (SNR) or contrast to noise ratio (CNR). In implementing new MR techniques, the criteria of acquisition speed and image quality are usually paramount. To decrease noise during the acquisition either time averaging over repeated measurements or enlarging voxel volume may be employed.
Additional Material
1 File (209.358kB)
Gerig-IEEE-TMI1992-fig8.jpg (209.358kB)
