Export to BibTeX Export to EndNoteImproving SNR in Susceptibility Weighted Imaging by a NLM-based denoising scheme (101 views) (PDF restricted 59 views)
Borrelli P, Palma G, Tedeschi E, Cocozza S, Russo C, Comerci M, Alfano B, Haacke EM, Salvatore M
2014 Ieee Int Conf Imaging Syst Tech Proc (ISSN: 9781-479967483), 2014 Oct; 10.1109/IST.2014: 346-350.
Abstract
The combination of magnitude and phase information inherent in Susceptibility-Weighted Imaging (SWI) greatly benefits from high-resolution MRI acquisitions. The application of a denoising filter to produce SWI images with higher signal-to-noise ratio (SNR) while preserving small structures from excessive blurring is therefore extremely desirable, but non-trivial, as the distribution of magnitude and phase noise may introduce biases during image restoration. Here we present a new dedicated noise removal algorithm based on the Non-Local Means (NLM) filter and compare its results with the original SWI and 'standard' NLM-denoised human brain images. Both the visual assessment by two expert readers and the quantitative evaluation of the contrast changes of the voxel intensities demonstrated that the images restored with the proposed algorithm fared consistently better than the other two schemes, showing that a proper handling of noise in the complex MRI dataset may lead to visible improvements of the overall SWI quality. © 2014 IEEE.
Affiliations ▼
*** IBB - CNR Affiliation
Advanced Biomedical Sciences Department, University of Napoli Federico IINapoli, Italy
Institute of Biostructures and Bioimaging, National Research CouncilNapoli, Italy
MRI Institute for Biomedical ResearchDetroit, MI, United States
Universita degli Studi di Napoli Federico II
Consiglio Nazionale delle Ricerche |
Details ▼
Impact factor: 0, 5-year impact factor: 0
Paper type: Journal Article, Conference Paper,
Keywords: Brain Mapping, Image Denoising, Image Reconstruction, Magnetic Resonance Imaging, Restoration, Denoising Filters, Noise Removal Algorithm, Non Local Means (nlm), Phase Information, Quantitative Evaluation, Signaltonoise Ratio (snr), Susceptibility Weighted Imaging, Visual Assessments, Signal To Noise Ratio,
Url: http://www.scopus.com/inward/record.url?eid=2-s2.0-84916633994&partnerID=40&md5=bf115e0d7454b2aa5b9123df6fbfb136 |
References ▼
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Haacke, E.M., Tang, J., Neelavalli, J., Cheng, Y., Susceptibility mapping as a means to visualize veins and quantify oxygen saturation (2010) Journal of Magnetic Resonance Imaging, 32 (3), pp. 663-676
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Borrelli, P., Palma, G., Comerci, M., Alfano, B., Unbiased noise estimation and denoising in parallel magnetic resonance imaging (2014) IEEE Transaction on Acoustic Speech and Signal Processing, , Accepted manuscript submitted for publication on
Haacke, E.M., Makki, M., Ge, Y., Maheshwari, M., Sehgal, V., Hu, J., Selvan, M., Xuan, Y., Characterizing iron deposition in multiple sclerosis lesions using susceptibility weighted imaging (2009) Journal of Magnetic Resonance Imaging, 29 (3), pp. 537-544
Palma, G., Piccialli, F., Comerci, M., De Michele, P., Borrelli, P., Cuomo, S., Alfano, B., 3d non-local means denoising via multi-gpu (2013) Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, pp. 495-498
Haacke, E. M., Xu, Y., Cheng, Y., Reichenbach, J. R., Susceptibility weighted imaging (swi) (2004) Magnetic Resonance in Medicine, 52 (3), pp. 612-61
Haacke, E. M., Tang, J., Neelavalli, J., Cheng, Y., Susceptibility mapping as a means to visualize veins and quantify oxygen saturation (2010) Journal of Magnetic Resonance Imaging, 32 (3), pp. 663-676
Haacke, E. M., Mittal, S., Wu, Z., Neelavalli, J., Cheng, Y. -C. N., Susceptibility-weighted imaging: Technical aspects and clinical applications, Part 1 (2009) American Journal of Neuroradiology, 30 (1), pp. 19-30
Coup, P., Yger, P., Prima, S., Hellier, P., Kervrann, C., Barillot, C., An optimized blockwise nonlocal means denoising filter for 3-d magnetic resonance images (2008) Medical Imaging, 27 (4), pp. 425-441. , IEEE Transactions on
Haacke, E. M., Makki, M., Ge, Y., Maheshwari, M., Sehgal, V., Hu, J., Selvan, M., Xuan, Y., Characterizing iron deposition in multiple sclerosis lesions using susceptibility weighted imaging (2009) Journal of Magnetic Resonance Imaging, 29 (3), pp. 537-544
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1 Records ( 1 excluding Abstracts and Conferences). Total impact factor: 3.534 ( 3.534 excluding Abstracts and Conferences). Total 5-year impact factor: 4.015 ( 4.015 excluding Abstracts and Conferences).
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