Biomedical Engineering Reference
In-Depth Information
32.
Ernst, T., Speck, O., Itti, L., and Chang, L., Simultaneous correction for interscan
patient motion and geometric distortions in echoplanar imaging.
Magn. Reson.
Med
. 1999; 42:201-205.
33.
Hyde, R.J., Ellis, J.H., Gardner, E.A., Zhang, Y., and Carson, P.L., MRI scanner
variability studies using a semi-automated analysis system.
Magn. Reson. Imag-
ing
. 1994; 12(7):1089-1097.
34.
Freeborough, P.A. and Fox, N.C., Modeling brain deformations in Alzheimer
Disease by fluid registration of serial 3D MR images.
J. Comput. Assist. Tomogr
.
1998; 22(5):838-843.
35.
Lemieux, L. and Barker, G.J., Measurement of small inter-scan fluctuations in
voxel dimensions in magnetic resonance images using registration.
Med. Phys
.
1998; 25(6):1049-1054.
36.
Hill, D.L.G., Maurer, C.R., Studholme, C., Fitzpatrick, J.M., and Hawkes, D.J.,
Correcting scaling errors in tomographic images using a nine degree of freedom
registration algorithm.
J. Comput. Assist. Tomogr
. 1998; 22(2):317-323.
37.
Wicks, D.A.G., Barker, G.J., and Tofts, P.S., Correction of intensity nonuniformity
in MR images of any orientation.
Magn. Reson. Imaging
. 1993; 11:183-196.
38.
Lemieux, L., Wieshmann, U.C., Moran, N.F., Fish, D.R., and Shorvon, S.D., The
detection and significance of subtle changes in mixed-signal brain lesions by
serial MRI scan matching and spatial normalization.
Med. Im. Anal
. 1998;
2(3):227-242.
39.
Condon, B.R., Patterson, J., Wyper, D., Jenkins, A., and Hadley, D.M., Image non-
uniformity in magnetic resonance imaging: its magnitude and methods for cor-
rection.
Br. J. Radiol
. 1987; 60:83-87.
40.
Stollberger, R. and Wach, P., Imaging of the active B1 field
in vivo
.
Magn. Reson.
Med
. 1996; 35:246-251.
41.
Sled, J.G. and Pike, B., Quantitative experimental validation of an analytic model
for intensity non-uniformity in MRI.
Proc. Intl. Soc. Magn. Reson. Med
. 1999;
7:2140.
42.
Narayana, P.A. and Borthakur, A., Effect of radio frequency inhomogenity cor-
rection on the reproducibility of intracranial volumes using MR image data.
Magn. Reson. Med
. 1995; 33:396-400.
43.
Meyer, C.R., Bland, P.H., and Pipe, J., Retrospective correction of intensity inho-
mogeneities in MRI.
IEEE. Trans. Med. Imag
. 1995; 14(1):36-41.
44.
Wells III, W.M., Grimson, W.E.L., Kikinis, R., and Jolesz, F.A., Adaptative seg-
mentation of MRI data.
IEEE. Trans. Med. Imag
. 1996; 15:429-442.
45.
Held, K., Kops, E.R., Krause, B.J., Wells, III, W.M., Kikinis, R., and Muller-Gartner,
H.W., Markov random field segmentation of brain MR images.
IEEE. Trans. Med.
Imag
. 1997; 16(6):878-886.
46.
Guillemaud, R. and Brady, M., Estimating the bias field of MR images.
IEEE.
Trans. Med. Imag.
1997; 16(3):238-251.
47.
Sled, J.G., Zijdenbos, A.P., and Evans, A.C., A nonparametric method for auto-
matic correction of intensity nonuniformity in MRI data.
IEEE. Trans. Med. Imag
.
1998; 17(1):87-97.
48.
Lemieux, L., Hagemann, G., Krakow, K., and Woermann, F.G., Fast, accurate and
reproducible automatic segmentation of the brain in T1-weighted volume mag-
netic resonance image data.
Magn. Reson. Med.
1999; 42(1):127-135.
49.
Vokurka, E.A., Thacker, N.A., and Jackson, A., A fast model independent method
for automatic correction of intensity nonuniformity in MRI data.
J. Magn. Reson.
Imaging
. 1999; 10(4):550-562.
