Name
Abstract | ||
|---|---|---|
We present a method that produces data-dependent high-pass filters that can be used in, e. g., image restoration. MR volumes often suffer from bias field artifacts produced due to unsteady magnetic field and spatial variations in reception of the RF magnetic eld emitted by the subject. To cope with these artifacts, we propose a method based on the grey-weighted distance transform (GWDT). It first computes the spectrum of the MR volume using Fast Fourier Transform, and then computes the GWDT of the magnitude spectrum. The power spectrum computed using GWDT helps in designing a high-pass filter which is later used to correct the bias artifacts. Experimental results on close to 100 datasets demonstrate the effectiveness of our method. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ISBI.2011.5872423 | 2011 8TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO |
Keywords | Field | DocType |
Grey-weighted distance, Fourier transform, MR volumes | Computer vision,Magnetic field,Computer science,High-pass filter,Fourier transform,Distance transform,Fast Fourier transform,Spectral density,Artificial intelligence,Frequency modulation,Image restoration | Conference |
ISSN | Citations | PageRank |
1945-7928 | 0 | 0.34 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Khalid Khan | 1 | 70 | 6.92 |
| Ingela Nyström | 2 | 464 | 40.34 |
| Muhammad Talal Ibrahim | 3 | 57 | 7.33 |
| Ling Guan | 4 | 1037 | 107.27 |