Unbiased noise estimation and denoising in parallel magnetic resonance imaging (276 visite) (PDF privato 184 visite)
Icassp - Ieee International Conference On Acoustics - Speech And Signal Processing - Proceedings (ISSN: 1520-6149, 1520-61499781479928927), 2014 May; 10.1109/ICASSP.201: 1230-1234.
Tipo di articolo: Journal Article, Conference Paper,
Impact factor: 0, Impact factor a 5 anni: 0
Url: http://www.scopus.com/inward/record.url?eid=2-s2.0-84905234778&partnerID=40&md5=a99a24742c5bc0ee03b55ff111eb2070
Parole chiave: Denoising, Noise Estimation, Non-Local Means, Parallel Mri, Rician Noise, Algorithms, Image Denoising, Magnetic Resonance Imaging, Signal Processing, De-Noising, Acoustic Noise,
Affiliazioni:
*** IBB - CNR ***
University of Naples Federico II, Dept. of Advanced Biomedical Sciences, Via Pansini 5, 80131 Naples, Italy
National Research Council of Italy, Inst. of Biostructures and Bioimaging, Via De Amicis 95, 80145 Naples, Italy
Universita degli Studi di Napoli Federico II
Consiglio Nazionale delle Ricerche
Riferimenti:
Gudbjartsson, H., Patz, S., The rician distribution of noisy mri data (1995) Magnetic Resonance in Medicine, 34 (6), pp. 910-91
Sijbers, J., Poot, D., Dekker Den, A.J., Pintjens, A., Automatic estimation of the noise variance from the histogram of a magnetic resonance image (2007) Physics in Medicine and Biology, 52 (5), p. 1335
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) Magnetic Resonance Imaging, 26 (6), pp. 754-762
Aja-Fernández, S., Tristán-Vega, A., Alberola-López, C., Noise estimation in single-and multiple-coil magnetic resonance data based on statistical models (2009) Magnetic Resonance Imaging, 27 (10), pp. 1397-1409
Deshmane, A., Gulani, V., Griswold, M.A., Seiberlich, N., Parallel mr imaging (2012) Journal of Magnetic Resonance Imaging, 36 (1), pp. 55-72
Glockner, J.F., Hu, H.H., Stanley, D.W., Angelos, L., King, K., Parallel mr imaging: A users guide1 (2005) Radiographics, 25 (5), pp. 1279-1297
Pruessmann, K.P., Encoding and reconstruction in parallel mri (2006) NMR in Biomedicine, 19 (3), pp. 288-299
Griswold, M.A., Jakob, P.M., Heidemann, R.M., Nittka, M., Jellus, V., Wang, J., Kiefer, B., Haase, A., Generalized autocalibrating partially parallel acquisitions (grappa) (2002) Magnetic Resonance in Medicine, 47 (6), pp. 1202-1210
Pruessmann, K.P., Weiger, M., Scheidegger, M.B., Boesiger, P., Sense: Sensitivity encoding for fast mri (1999) Magnetic Resonance in Medicine, 42 (5), pp. 952-962
Buades, A., Coll, B., Morel, J., A review of image denoising algorithms, with a new one (2005) Multiscale Modeling & Simulation, 4 (2), pp. 490-530
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) Medical Imaging, IEEE Transactions on, 27 (4), pp. 425-441
Manjón, J.V., Coupé, P., Martí-Bonmatí, L., Louis Collins, D., Robles, M., Adaptive nonlocal means denoising of mr images with spatially varying noise levels (2010) Journal of Magnetic Resonance Imaging, 31 (1), pp. 192-203
Veraart, J., Rajan, J., Peeters, R., Leemans, A., Sunaert, S., Sijbers, J., Estimation of spatially variable rician noise map in diffusion mri (2013) Proc. International Society of Magnetic Resonance in Medicine
Guan Koay, C., Basser, P., Analytically exact correction scheme for signal extraction from noisy magnitude mr signals (2006) Journal of Magnetic Resonance, 179, pp. 317-322
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
Aja-Fern ndez, S., Trist n-Vega, A., Alberola-L pez, C., Noise estimation in single-and multiple-coil magnetic resonance data based on statistical models (2009) Magnetic Resonance Imaging, 27 (10), pp. 1397-1409
Glockner, J. F., Hu, H. H., Stanley, D. W., Angelos, L., King, K., Parallel mr imaging: A users guide1 (2005) Radiographics, 25 (5), pp. 1279-1297
Pruessmann, K. P., Encoding and reconstruction in parallel mri (2006) NMR in Biomedicine, 19 (3), pp. 288-299
Griswold, M. A., Jakob, P. M., Heidemann, R. M., Nittka, M., Jellus, V., Wang, J., Kiefer, B., Haase, A., Generalized autocalibrating partially parallel acquisitions (grappa) (2002) Magnetic Resonance in Medicine, 47 (6), pp. 1202-1210
Pruessmann, K. P., Weiger, M., Scheidegger, M. B., Boesiger, P., Sense: Sensitivity encoding for fast mri (1999) Magnetic Resonance in Medicine, 42 (5), pp. 952-962
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, IEEE Transactions on, 27 (4), pp. 425-441
Manj n, J. V., Coup, P., Mart -Bonmat, L., Louis Collins, D., Robles, M., Adaptive nonlocal means denoising of mr images with spatially varying noise levels (2010) Journal of Magnetic Resonance Imaging, 31 (1), pp. 192-203
Icassp - Ieee International Conference On Acoustics - Speech And Signal Processing - Proceedings (ISSN: 1520-6149, 1520-61499781479928927), 2014 May; 10.1109/ICASSP.201: 1230-1234.
Tipo di articolo: Journal Article, Conference Paper,
Impact factor: 0, Impact factor a 5 anni: 0
Url: http://www.scopus.com/inward/record.url?eid=2-s2.0-84905234778&partnerID=40&md5=a99a24742c5bc0ee03b55ff111eb2070
Parole chiave: Denoising, Noise Estimation, Non-Local Means, Parallel Mri, Rician Noise, Algorithms, Image Denoising, Magnetic Resonance Imaging, Signal Processing, De-Noising, Acoustic Noise,
Affiliazioni:
*** IBB - CNR ***
University of Naples Federico II, Dept. of Advanced Biomedical Sciences, Via Pansini 5, 80131 Naples, Italy
National Research Council of Italy, Inst. of Biostructures and Bioimaging, Via De Amicis 95, 80145 Naples, Italy
Universita degli Studi di Napoli Federico II
Consiglio Nazionale delle Ricerche
Riferimenti:
Gudbjartsson, H., Patz, S., The rician distribution of noisy mri data (1995) Magnetic Resonance in Medicine, 34 (6), pp. 910-91
Sijbers, J., Poot, D., Dekker Den, A.J., Pintjens, A., Automatic estimation of the noise variance from the histogram of a magnetic resonance image (2007) Physics in Medicine and Biology, 52 (5), p. 1335
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) Magnetic Resonance Imaging, 26 (6), pp. 754-762
Aja-Fernández, S., Tristán-Vega, A., Alberola-López, C., Noise estimation in single-and multiple-coil magnetic resonance data based on statistical models (2009) Magnetic Resonance Imaging, 27 (10), pp. 1397-1409
Deshmane, A., Gulani, V., Griswold, M.A., Seiberlich, N., Parallel mr imaging (2012) Journal of Magnetic Resonance Imaging, 36 (1), pp. 55-72
Glockner, J.F., Hu, H.H., Stanley, D.W., Angelos, L., King, K., Parallel mr imaging: A users guide1 (2005) Radiographics, 25 (5), pp. 1279-1297
Pruessmann, K.P., Encoding and reconstruction in parallel mri (2006) NMR in Biomedicine, 19 (3), pp. 288-299
Griswold, M.A., Jakob, P.M., Heidemann, R.M., Nittka, M., Jellus, V., Wang, J., Kiefer, B., Haase, A., Generalized autocalibrating partially parallel acquisitions (grappa) (2002) Magnetic Resonance in Medicine, 47 (6), pp. 1202-1210
Pruessmann, K.P., Weiger, M., Scheidegger, M.B., Boesiger, P., Sense: Sensitivity encoding for fast mri (1999) Magnetic Resonance in Medicine, 42 (5), pp. 952-962
Buades, A., Coll, B., Morel, J., A review of image denoising algorithms, with a new one (2005) Multiscale Modeling & Simulation, 4 (2), pp. 490-530
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) Medical Imaging, IEEE Transactions on, 27 (4), pp. 425-441
Manjón, J.V., Coupé, P., Martí-Bonmatí, L., Louis Collins, D., Robles, M., Adaptive nonlocal means denoising of mr images with spatially varying noise levels (2010) Journal of Magnetic Resonance Imaging, 31 (1), pp. 192-203
Veraart, J., Rajan, J., Peeters, R., Leemans, A., Sunaert, S., Sijbers, J., Estimation of spatially variable rician noise map in diffusion mri (2013) Proc. International Society of Magnetic Resonance in Medicine
Guan Koay, C., Basser, P., Analytically exact correction scheme for signal extraction from noisy magnitude mr signals (2006) Journal of Magnetic Resonance, 179, pp. 317-322
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
Aja-Fern ndez, S., Trist n-Vega, A., Alberola-L pez, C., Noise estimation in single-and multiple-coil magnetic resonance data based on statistical models (2009) Magnetic Resonance Imaging, 27 (10), pp. 1397-1409
Glockner, J. F., Hu, H. H., Stanley, D. W., Angelos, L., King, K., Parallel mr imaging: A users guide1 (2005) Radiographics, 25 (5), pp. 1279-1297
Pruessmann, K. P., Encoding and reconstruction in parallel mri (2006) NMR in Biomedicine, 19 (3), pp. 288-299
Griswold, M. A., Jakob, P. M., Heidemann, R. M., Nittka, M., Jellus, V., Wang, J., Kiefer, B., Haase, A., Generalized autocalibrating partially parallel acquisitions (grappa) (2002) Magnetic Resonance in Medicine, 47 (6), pp. 1202-1210
Pruessmann, K. P., Weiger, M., Scheidegger, M. B., Boesiger, P., Sense: Sensitivity encoding for fast mri (1999) Magnetic Resonance in Medicine, 42 (5), pp. 952-962
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, IEEE Transactions on, 27 (4), pp. 425-441
Manj n, J. V., Coup, P., Mart -Bonmat, L., Louis Collins, D., Robles, M., Adaptive nonlocal means denoising of mr images with spatially varying noise levels (2010) Journal of Magnetic Resonance Imaging, 31 (1), pp. 192-203
In magnetic resonance (MR) clinical practice, noise estimation is usually performed on Rayleigh-distributed background (no signal area) of magnitude images. Although noise variance in quadrature MR images is considered spatially independent, parallel MRI (pMRI) techniques as SENSE or GRAPPA generate spatially varying noise (SVN) distribution. In this scenario noise estimation from background may produce biased results. To address these limitations we introduce a novel noise estimation scheme based on local statistics. Our method turns out to be more accurate than the other pMRI noise estimation schemes previously described in the literature. Denoising performances, measured by visual inspection and peak signal-to-noise ratio (PSNR), of Non-Local Means denoising filters (NLM) are considerably improved using SVN-NLM in case of inhomogeneous noise. Furthermore, SVN-NLM behaves as well as standard NLM when homogeneous noise was added, thus proving to be a robust and powerful denoising algorithm for arbitrary MRI datasets. © 2014 IEEE.
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