Export to BibTeX Export to EndNoteImproving Signal-to-Noise Ratio in Susceptibility Weighted Imaging: A Novel Multicomponent Non-Local Approach (92 views) (PDF public 75 views)
Borrelli P, Palma G, Tedeschi E, Cocozza S, Comerci M, Alfano B, Haacke EM, Salvatore M
Plos One (ISSN: 1932-6203electronic, 1932-6203linking), 2015 Jun 1; 10(6): e0126835-e0126835.
Abstract
In susceptibility-weighted imaging (SWI), the high resolution required to obtain a proper contrast generation leads to a reduced signal-to-noise ratio (SNR). The application of a denoising filter to produce images with higher SNR and still preserve small structures from excessive blurring is therefore extremely desirable. However, as the distributions of magnitude and phase noise may introduce biases during image restoration, the application of a denoising filter is non-trivial. Taking advantage of the potential multispectral nature of MR images, a multicomponent approach using a Non-Local Means (MNLM) denoising filter may perform better than a component-by-component image restoration method. Here we present a new MNLM-based method (Multicomponent-Imaginary-Real-SWI, hereafter MIR-SWI) to produce SWI images with high SNR and improved conspicuity. Both qualitative and quantitative comparisons of MIR-SWI with the original SWI scheme and previously proposed SWI restoring pipelines showed that MIR-SWI fared consistently better than the other approaches. Noise removal with MIR-SWI also provided improvement in contrast-to-noise ratio (CNR) and vessel conspicuity at higher factors of phase mask multiplications than the one suggested in the literature for SWI vessel imaging. We conclude that a proper handling of noise in the complex MR dataset may lead to improved image quality for SWI data. © 2015 Borrelli et al.
Affiliations ▼
*** IBB - CNR Affiliation
Advanced Biomedical Sciences Department, University of Napoli "Federico II", Napoli, Italy; IRCCS SDN, Naples, Italy., Institute of Biostructures and Bioimaging, National Research Council, Napoli, Italy., Advanced Biomedical Sciences Department, University of Napoli "Federico II", Napoli, Italy., The MRI Institute for Biomedical Research, Detroit, MI, United States of America.,
Universita degli Studi di Napoli Federico II
Consiglio Nazionale delle Ricerche |
Details ▼
Impact factor: 3.534, 5-year impact factor: 4.015
Paper type: Journal Article, Research Support, Non-U. S. Gov'T,
Keywords: Algorithm, Article, Contrast Enhancement, Controlled Study, Data Analysis, Data Base, Image Analysis, Image Processing, Image Quality, Image Reconstruction, Image Retrieval, Mathematical Computing, Noise Reduction, Optical Resolution, Qualitative Analysis, Quantitative Analysis, Signal Noise Ratio, Susceptibility Weighted Imaging,
Url: http://www.scopus.com/inward/record.url?eid=2-s2.0-84935011615&partnerID=40&md5=2fb4f0c3ee7fcb373d4820b0958f4747 |
References ▼
Haacke, E.M., Xu, Y., Cheng, Y.C.N., Reichenbach, J.R., Susceptibility weighted imaging (SWI) (2004) Magn Reson Med., 52 (3), pp. 612-618. , PMID: 1533458
Haacke, E., Tang, J., Neelavalli, J., Cheng, Y., Susceptibility mapping as a means to visualize veins and quantify oxygen saturation (2010) J Magn Reson Imaging, 32 (3), pp. 663-676. , PMID: 20815065
Haacke, E.M., Mittal, S., Wu, Z., Neelavalli, J., Cheng, Y.C., Susceptibility-weighted imaging: Technical aspects and clinical applications, part 1 (2009) Am J Neuroradiol., 30 (1), pp. 19-30. , PMID: 19039041
Sehgal, V., Delproposto, Z., Haacke, E.M., Tong, K.A., Wycliffe, N., Kido, D.K., Clinical applications of neuroimaging with susceptibility-weighted imaging (2005) J Magn Reson Imaging, 22 (4), pp. 439-450. , PMID: 16163700
Haacke, E.M., Makki, M., Ge, Y., Maheshwari, M., Sehgal, V., Hu, J., Characterizing iron deposition in multiple sclerosis lesions using susceptibility weighted imaging (2009) J Magn Reson Imaging., 29 (3), pp. 537-544. , PMID: 19243035
Haacke, E., DelProposto, Z., Chaturvedi, S., Sehgal, V., Tenzer, M., Neelavalli, J., Imaging cerebral amyloid angiopathy with susceptibility-weighted imaging (2007) Am J of Neuroradiol., 28 (2), pp. 316-317
Schrag, M., McAuley, G., Pomakian, J., Jiffry, A., Tung, S., Mueller, C., Correlation of hypointensities in susceptibility-weighted images to tissue histology in dementia patients with cerebral amyloid angiopathy: A postmortem MRI study (2010) Acta Neuropathol., 119 (3), pp. 291-302. , PMID: 19937043
Wu, Z., Mittal, S., Kish, K., Yu, Y., Hu, J., Haacke, E.M., Identification of calcification with MRI using susceptibility-weighted imaging: A case study (2009) J Magn Reson Imaging., 29 (1), pp. 177-182. , PMID: 19097156
Dai, Y., Zeng, M., Li, R., Rao, S., Chen, C., DelProposto, Z., Improving detection of siderotic nodules in cirrhotic liver with a multi-breath-hold susceptibility-weighted imaging technique (2011) J Magn Reson Imaging., 34 (2), pp. 318-325. , PMID: 21780226
Yang, Q., Liu, J., Li, K., Dai, Y., Haacke, M., Jerecic, R., Visualization of carotid plaque calcification-A novel approach using susceptibility weighted MR imaging (2010) J Cardiovasc Magn Reson., 12, pp. 1-2
Buades, A., Coll, B., Morel, J., Image denoising methods. A new nonlocal principle (2010) Siam Review., 52 (1), pp. 113-147
Manjón, J.V., Carbonell-Caballero, J., Lull, J.J., García-Martí, G., Martí-Bonmatí, L., Robles, M., MRI denoising using non-local means (2008) Med Image Anal., 12 (4), pp. 514-523. , PMID: 18381247
Coupé, 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) IEEE Trans Med Imaging., 27 (4), pp. 425-441. , PMID: 18390341
Wiest-Daesslé, N., Prima, S., Coupé, P., Morrissey, S.P., Barillot, C., Rician noise removal by non-local means filtering for low signal-to-noise ratio MRI: Applications to DT-MRI (2008) Med Image Comput Comput Assist Interv 2008., pp. 171-179. , Springer
Manjón, J.V., Thacker, N.A., Lull, J.J., Garcia-Martí, G., Martí-Bonmatí, L., Robles, M., Multicomponent MR image denoising (2009) J Biomed Imaging, 2009, p. 18
Borrelli, P., Palma, G., Comerci, M., Alfano, B., Unbiased noise estimation and denoising in parallel magnetic resonance imaging (2014) Proc IEEE Int Conf Acoust Speech Signal Process, 2014, pp. 1230-1234
Gudbjartsson, H., Patz, S., The Rician distribution of noisy MRI data (1995) Magn Reson Med., 34 (6), pp. 910-914. , PMID: 8598820
Dietrich, O., Raya, J.G., Reeder, S.B., Ingrisch, M., Reiser, M.F., Schoenberg, S.O., Influence of multichannel combination, parallel imaging and other reconstruction techniques on MRI noise characteristics (2008) Magn Reson Imaging., 26 (6), pp. 754-762. , PMID: 18440746
Haacke, E.M., Reichenbach, J.R., (2014) Susceptibility Weighted Imaging in MRI: Basic Concepts and Clinical Applications., , John Wiley & Sons
Palma, G., Piccialli, F., Comerci, M., De Michele, P., Borrelli, P., Cuomo, S., 3D Non-Local Means denoising via multi-GPU (2013) Proc Fed Comput Sci Inf Syst, 2013, pp. 495-498
Cusack, R., Papadakis, N., New robust 3-D phase unwrapping algorithms: Application to magnetic field mapping and undistorting echoplanar images (2002) Neuroimage, 16 (3), pp. 754-764. , PMID: 12169259
Jang, U., Nam, Y., Kim, D.H., Hwang, D., Improvement of the SNR and resolution of susceptibility-weighted venography by model-based multi-echo denoising (2013) Neuroimage, 70, pp. 308-316. , PMID: 23296184
Xu, Y., Haacke, E.M., The role of voxel aspect ratio in determining apparent vascular phase behavior in susceptibility weighted imaging (2006) Magn Reson Imaging, 24 (2), pp. 155-160. , PMID: 16455403
Haacke, E.M., Liu, S., Buch, S., Zheng, W., Wu, D., Ye, Y., Quantitative susceptibility mapping: Current status and future directions (2015) Magnetic Resonance Imaging, 33 (1), pp. 1-25. , PMID: 25267705
|
Related activities ▼
Related papers ▼
Related bibliography ▼
<=2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 ALL YEARS
Sort by: date ▼▲ title ▲ ▼ journal ▲ ▼ authors ▲ ▼ impact factor ▲ ▼* Optimal enhancement configuration of silica nanoparticles for ultrasound imaging and automatic detection at conventional diagnostic frequencies (51 views)Casciaro S, Conversano F, Ragusa A, Malvindi MA, Franchini R, Greco A, Pellegrino T, Gigli G
Invest Radiol (ISSN: 0020-9996, 1536-0210, 1536-0210electronic), 2010 Nov; 45(11): 715-724.
View Export to BibTeX Export to EndNote Upload PDF
1 Records ( 1 excluding Abstracts and Conferences). Total impact factor: 4.453 ( 4.453 excluding Abstracts and Conferences). Total 5-year impact factor: 4.326 ( 4.326 excluding Abstracts and Conferences).
Your bibliography query: (([btitle, keywords, abstract] ALGORITHM AND [btitle, keywords, abstract] ARTICLE AND [btitle, keywords, abstract] CONTRAST AND [btitle, keywords, abstract] ENHANCEMENT AND [btitle, keywords, abstract] CONTROLLED AND [btitle, keywords, abstract] STUDY)) AND NOT [id] = 52800
|
|
Last modified by Giuseppe Palma on Wednesday 24 June 2015, 13:43:30
92 views. Last viewed on Tuesday 11 July 2017, 22:53:40
|
INCIPIT
ISTAPCA (784 views)
Euro-BioImaging
Instruct-IT
Fondazione Veronesi
Fondo Europeo Pesca (203 views)
INMiND (880 views)
PRIN (983 views)
eHealthNet (810 views)
Ponrec (761 views)
MFAG Grant (820 views)
