Abstract
RF inhomogeneities are illumination artifacts in MR images which manifest as a multiplicative bias field. To measure the quality of an MR image with respect to RF inhomogeneities, existing multi-valued criteria are in use. Here we propose a useful conversion of these multi-valued criteria into a single measure of quality which simplifies image quality evaluation and comparison. Next, to remove such a bias field, a novel wavelet based approach is employed, that extends a previous 1D wavelet design methodology to a 2D setting. This method is found to perform well on images with strong small details. The results for brain MR images are subject to improvement, however our results hint to a future scenario for improved image quality.
Original language | English |
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Title of host publication | 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
Publisher | IEEE |
Pages | 3028-31 |
Number of pages | 4 |
Volume | 2008 |
ISBN (Electronic) | 978-1-4244-1815-2 |
ISBN (Print) | 978-1-4244-1814-5 |
DOIs | |
Publication status | Published - Aug 2008 |
Event | Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Duration: 1 Jan 2010 → 1 Jan 2010 |
Conference
Conference | Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Period | 1/01/10 → 1/01/10 |
Keywords
- Algorithms
- Brain
- Computer Simulation
- Humans
- Image Enhancement
- Image Processing, Computer-Assisted
- Magnetic Resonance Imaging
- Models, Statistical
- Phantoms, Imaging
- Quality Control
- Radio Waves
- Subtraction Technique