Abstract
In this paper we study the impact of denoising the raw high angular resolution diffusion imaging (HARDI) data with the Non-Local Means filter adapted to Rician noise (NLMr). We first show that NLMr filtering improves robustness of apparent diffusion coefficient (ADC) and orientation distribution function (ODF) reconstructions from synthetic HARDI datasets. Our results suggest that the NLMr filtering improve the quality of anisotropy maps computed from ADC and ODF and improve the coherence of q-ball ODFs with the underlying anatomy while not degrading angular resolution. These results are shown on a biological phantom with known ground truth and on a real human brain dataset. Most importantly, we show that multiple measurements of diffusion-weighted (DW) images and averaging these images along each direction can be avoided because NLMr filtering of the individual DW images produces better quality generalized fractional anisotropy maps and more accurate ODF fields than when computed from the averaged DW datasets.
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Jones, D.K., Basser, P.J.: Squashing peanuts and smashing pumpkins: how noise distorts diffusion-weighted MR data. Magn. Reson. Med. 52(5), 979–993 (2004)
Basu, S., Fletcher, P.T., Whitaker, R.T.: Rician Noise Removal in Diffusion Tensor MRI. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4190, pp. 117–125. Springer, Heidelberg (2006)
Landman, B., Bazin, P.L., Prince, J.: Diffusion Tensor Estimation by Maximizing Rician Likelihood. In: Lew, M., Sebe, N., Huang, T., Bakker, E. (eds.) ICCV 2007, Rio de Janeiro, Brazil, pp. 1–8. IEEE Computer Society, Los Alamitos (2007)
Fillard, P., Arsigny, V., Pennec, X., Ayache, N.: Clinical dt-mri estimation, smoothing and fiber tracking with log-euclidean metrics. IEEE Transactions on Medical Imaging 26(11), 1472–1482 (2007)
Savadjiev, P., Campbell, J.S.W., Pike, G.B., Siddiqi, K.: 3d curve inference for diffusion mri regularization and fibre tractography. Medical Image Analysis 10, 799–813 (2006)
Assemlal, H.-E., Tschumperlé, D., L.B.: Fiber tracking on hardi data using robust odf fields. In: IEEE International Conference on Image Processing, pp. 344–351 (2007)
Aja-Fernandez, S., Niethammer, M., Kubicki, M., Shenton, M.E., Westin, C.F.: Restoration of dwi data using a rician lmmse estimator. IEEE Transactions Medical Imaging (in press, 2008)
Clarke, R.A., Scifo, P., Rizzo, G., Dell’Acqua, F., Scotti, G., Fazio, F.: Noise correction on rician distributed data fibre orientation estimators. IEEE Transactions Medical Imaging (in press, 2008)
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: Application to DT-MRI. In: MICCAI (in press, 2008)
Buades, A., Coll, B., Morel, J.M.: A non local algorithm for image denoising. In: CVPR 2005, San Diego, USA, pp. 60–65. IEEE Computer Society, Los Alamitos (2005)
Gasser, T., Sroka, L., Steinmetz, C.: Residual variance and residual pattern in non linear regression. Biometrika 73(3), 625–633 (1986)
Wiest-Daesslé, N., Prima, S., Coupé, P., Morrissey, S.P., Barillot, C.: Non-local means variants for denoising of diffusion-weighted and diffusion tensor MRI. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part II. LNCS, vol. 4792, pp. 344–351. Springer, Heidelberg (2007)
Frank, L.: Characterization of anisotropy in high angular resolution diffusion-weighted MRI. Magnetic Resonance in Medicine 47(6), 1083–1099 (2002)
Alexander, D., Barker, G., Arridge, S.: Detection and modeling of non-gaussian apparent diffusion coefficient profiles in human brain data. Magnetic Resonance in Medicine 48(2), 331–340 (2002)
Ozarslan, E., Mareci, T.: Generalized diffusion tensor imaging and analytical relationships between diffusion tensor imaging and high angular resolution imaging. Magnetic Resonance in Medicine 50, 955–965 (2003)
Chen, Y., Guo, W., Zeng, Q., Yan, X., Huang, F., Zhang, H., He, G., Vemuri, B., Liu, Y.: Estimation, smoothing, and characterization of apparent diffusion coefficient profiles from high angular resolution dwi. Computer Vision and Pattern Recognition 1, 588–593 (2004)
Descoteaux, M., Angelino, E., Fitzgibbons, S., Deriche, R.: Apparent diffusion coefficients from high angular resolution diffusion imaging: Estimation and applications. Magnetic Resonance in Medicine 56, 395–410 (2006)
Descoteaux, M., Angelino, E., Fitzgibbons, S., Deriche, R.: Regularized, fast, and robust analytical q-ball imaging. Magnetic Resonance in Medicine 58(3), 497–510 (2007)
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Descoteaux, M., Wiest-Daesslé, N., Prima, S., Barillot, C., Deriche, R. (2008). Impact of Rician Adapted Non-Local Means Filtering on HARDI. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008. MICCAI 2008. Lecture Notes in Computer Science, vol 5242. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85990-1_15
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DOI: https://doi.org/10.1007/978-3-540-85990-1_15
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