Inhomogeneity correction of magnetic resonance brain images
Magnetic resonance imaging (MRI) is a widely used non-invasive visualization technique in medical field. The images acquired often suffer from intensity nonuniformity, or inhomogeneity, which hampers automated analysis of the images. This artifact is mainly caused by the radio frequency (RF) coil de...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Student Research Poster |
| Language: | English |
| Published: |
2013
|
| Online Access: | https://hdl.handle.net/10356/79529 http://hdl.handle.net/10220/8966 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Magnetic resonance imaging (MRI) is a widely used non-invasive visualization technique in medical field. The images acquired often suffer from intensity nonuniformity, or inhomogeneity, which hampers automated analysis of the images. This artifact is mainly caused by the radio frequency (RF) coil design, gradient-driven eddy currents, and acquisition pulse sequences. In this research, we are focusing on techniques to correct the intensity inhomogeneity by performing a coarse preliminary
segmentation on the MR images and then use the segmentation result to estimate the bias field. [3rd Award] |
|---|