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Nonlinear Anisotropic Filtering of MRI Data

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:
221-32
Citation:
IEEE Trans Med Imaging. 1992 Nov;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 Nov;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.

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Gerig-IEEE-TMI1992-fig8.jpg (209.358kB)