Spectral subtraction de-noising of MRI

M. Arcan Erturk, Paul A. Bottomley, Abdel Monem M El-Sharkawy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2012 Cairo International Biomedical Engineering Conference, CIBEC 2012
Pages138-141
Number of pages4
DOIs
StatePublished - Dec 1 2012
Event2012 Cairo International Biomedical Engineering Conference, CIBEC 2012 - Giza, Egypt
Duration: Dec 20 2012Dec 22 2012

Other

Other2012 Cairo International Biomedical Engineering Conference, CIBEC 2012
CountryEgypt
CityGiza
Period12/20/1212/22/12

Keywords

  • MRI de-noising
  • parallel imaging
  • SENSE

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