Image Processing Reference
In-Depth Information
15.
Nordstrom, N. (1990). Biased anisotropic diffusion: a unified generalization and
diffusion approach to edge detection. Image Vision Comput. 8(4): 318-327.
16.
Atkins, M.S. and Mackiewich, B.T. (1998). Fully automatic segmentation of the
brain in MRI. IEEE Trans. Med. Imaging 17(1): 98-107.
17.
Weickert, J. (1998). Anisotropic Diffusion in Image Processing , ECMI Series,
Teubner, Stuttgart.
18.
Santarelli, M.F., Positano, V., Michelassi, C., Lombardi, M., and Landini, L.
(2003). Automated cardiac MR image segmentation: theory and measurement
evaluation. Med. Eng. Phys. 25(2): 149-59.
19.
Styner, M., Brechbuhler, C., Szekely, G., and Gerig, G. (2000). Parametric estimate
of intensity inhomogeneities applied to MRI. IEEE Trans. Med. Imaging 19(3):
153-165.
20.
Yang, G.Z., Burger, P., Firmin, D.N., and Underwood, S.R. (1996). Structure
filtering. Image and Vision Computing 14: 135-45.
21.
Sijbers, J., den Dekker, A.J., Van Audekerke, J., Verhoye, M., and Van Dyck, D.
(1998). Estimation of the noise in magnitude MR images. Magn. Reson. Imaging
16(1): 87-90.
22.
Sijbers, J. and den Dekker, A.J. (2004). Maximum likelihood estimation of signal
amplitude and noise variance from MR data. Magn. Reson. Med. 51(3): 586-594.
23.
Gudbjartsson, H. and Patz, S. (1995). The Rician distribution of noisy MRI data.
Magn. Reson. Med . 34: 910-914.
24.
Sijbers, J., den Dekker, A.J., Van der Linden, Verhoye, A.M., and Van Dyck, D.
(1999). Adaptive anisotropic noise filtering for magnitude MR data. Magn. Reson.
Imaging 17(10): 1533-1539.
25.
Novak, D. (1999). Wavelet-based Rician noise removal for magnetic resonance
imaging. IEEE Trans. Image Process. 8(10): 1408-1419.
26.
Wood, J.C. and Johnson, M.K. (1999). Wavelet packet denoising of magnetic
resonance images: importance of Rician noise at low SNR. Magn. Reson. Imaging
41(3): 631-635.
27.
Alexander, M.E., Baumgarter, R., Summers, A.R., Windishberger, C., Klarhoefer, M.,
Moser, E., and Somorjai, R.L. (2000). A wavelet-based method for improving
signal-to-noise ratio and contrast in MR images. Magn. Reson. Imaging 18:
169-180.
28.
Likar, B., Viergever, M.A., and Pernus, F. (2001). Retrospective correction of MR
intensity inhomogeneity by information minimization. IEEE Trans. Med. Imaging
20: 1398-1410.
29.
Pruessmann, K.P., Weiger, M., Scheidegger, M.B., and Boesiger, P. (1999).
SENSE: sensitivity encoding for fast MRI. Magn. Reson. Med . 42: 952-962.
30.
Sodickson, D.K. and Manning, W.J. (1997). Simultaneous acquisition of spatial
harmonics (SMASH): ultra-fast imaging with radiofrequency coil arrays. Magn.
Reson. Med. 38: 591-603.
31.
Bydder, M., Larkman, D.J., and Hajnal, J.V. (2002). Generalized SMASH imag-
ing. Magn. Reson. Med . 47: 160-170.
32.
Griswold, M.A., Jakob, P.M., Heidemann, R.M., and Haase, A. (2000). Parallel
imaging with localized sensitivities (PILS). Magn. Reson. Med. 44: 243-251.
33.
Kyriakos, W.E., Panych, L.P., Kacher, D.F., Westin, C.F., Bao, S.M., Mulkern,
R.V., and Jolesz, F.A. (2000). Sensitivity profiles from an array of coils for
encoding and reconstruction in parallel (SPACE RIP). Magn. Reson. Med. 44:
201-208.
Search WWH ::




Custom Search