@inproceedings{ca60f48d6f9d444fb58c018d7bf605fd,
title = "Spectral subtraction de-noising of MRI",
abstract = "De-noising techniques can improve the signal to noise ratio (SNR), and quality of magnetic resonance (MR) images. In this work, we introduce a spectral subtraction de-noising (SSD) method that operates directly on the acquired raw MR signals and then we reconstruct images using the de-noised signals to improve the SNR. MR images acquired using coil arrays and reconstructed using parallel imaging techniques exhibit spatially varying noise distribution, which hampers the performance of image de-noising techniques applied in the image domain. The proposed SSD method is applied in the k-space (Fourier) domain of each of the individual coil array elements and is thus not affected by non-uniform noise distribution. Using numerical simulations and experimental data, we show that up to 45% improvements in SNR in both single and multi-channel coil data can be achieved.",
keywords = "MRI de-noising, SENSE, parallel imaging",
author = "Erturk, {M. Arcan} and Bottomley, {Paul A.} and El-Sharkawy, {Abdel Monem M.}",
year = "2012",
doi = "10.1109/CIBEC.2012.6473325",
language = "English (US)",
isbn = "9781467328012",
series = "2012 Cairo International Biomedical Engineering Conference, CIBEC 2012",
pages = "138--141",
booktitle = "2012 Cairo International Biomedical Engineering Conference, CIBEC 2012",
note = "2012 Cairo International Biomedical Engineering Conference, CIBEC 2012 ; Conference date: 20-12-2012 Through 22-12-2012",
}