An Efficient Sparse Sampling Approach to Magnetic Resonance Imaging |
Author(s): |
| Arvinder Kaur , Panjab University |
Keywords: |
| MRI, Recovery, Sparsity, Compressed sensing (CS) |
Abstract |
|
It is well known that a nuclear resonance magnetic field is used in capturing a MRI image in medical field. When one goes for MRI, he is kept under the nuclear field scanning (approximately under 64 MHz range) for a wide span of time. This instead of helping adds harm to patient’s health. A new technique sparse sampling or compressive sensing has come into the picture, by using which number of measurements or samples taken can be reduced to a very little number than that were used initially and thus number of radiations bombarded to patient can also be reduced to a great extent. The image we get is little tolerated on PSNR value but has an observable quality. This appear focuses on reducing the recovery timings of MRI image by fitting compressive sensing to MR imaging. |
Other Details |
|
Paper ID: IJSRDV2I11047 Published in: Volume : 2, Issue : 11 Publication Date: 01/02/2015 Page(s): 219-221 |
Article Preview |
|
|
|
|
