References

1

I. Agartz, J. Saaf, L.-O. Wahlund, and L. Wetterberg. Quantitative estimations of cerebrospinal fluid spaces and brain regions in healthy controls using computer-assisted tissue classification of magnetic resonance images: Relation to age and sex. Magnetic Resonance Imaging, 10:217-226, 1992.

2

A. A. Amini, S. Tehrani, and T. E. Weymouth. Using dynamic programming for minimizing the energy of active contours in the presence of hard constraints. In Proc. Second Int. Conf. Computer Vision, pages 95-99, Tarpon Springs, FL, December 1988.

3

M. A. Anderberg. Cluster Analysis for Applications. Academic Press, New York, NY, 1973.

4

R. Bajcsy and S. Kovacic. Multiresolution elastic matching. Computer Vision, Graphics and Image Processing, 46:1-21, 1989.

5

M. Bomans, K.-H. Höhne, U. Tiede, and M. Riemer. 3-D segmentation of MR images of the head for 3-D display. IEEE Transactions on Medical Imaging, 9:177-183, 1990.

6

D. C. Bonar, K. A. Schaper, J. R. Anderson, D. A. Rottenberg, and S. C. Strother. Graphical analysis of MR feature space for measurement of CSF, gray-matter, and white-matter volumes. Journal of Computer Assisted Tomography, 17:461-470, 1993.

7

W. G. Bradley Jr. and R. M. Quencer. Hydrocephalus, atrophy, and intracranial CSF flow. In D. D. Stark and W. G. J. Bradley, editors, Magnetic Resonance Imaging, volume 1, pages 891-962. Mosby-Year Book, St. Louis, MO, Second edition, 1992.

8

L. G. Brown. A survey of image registration techniques. ACM Computing Surveys, 24:325-376, 1982.

9

M. E. Brummer, R. M. Mersereau, R. L. Eisner, and R. R. J. Lewine. Automatic detection of brain contours in MRI data sets. IEEE Transactions on Medical Imaging, 12:153-166, 1993.

10

J. Carlson, L. Crooks, D. Orthendahl, D. M. Kramer, and L. Kaufman. Signal-to-noise ratio and section thickness in two-dimensional versus three-dimensional Fourier transform MR imaging. Radiology, 166:266-270, 1988.

11

H. Chang and J. M. Fitzpatrick. A technique for accurate magnetic resonance imaging in the presence of filed inhomogeneities. IEEE Transactions on Medical Imaging, 11:319-329, 1992.

12

D. Chien and R. R. Edelman. Ultrafast imaging using gradient echoes. Magnetic Resonance Quarterly, 7:31-56, 1991.

13

H. E. Cline, W. E. Lorensen, R. Kikinis, and F. Jolesz. Three-dimensional segmentation of MR images of the head using probability and connectivity. Journal of Computer Assisted Tomography, 14:1037-1045, 1990.

14

L. D. Cohen and I. Cohen. Finite-element method for active contour models and balloons for 2-D and 3-D images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15:1131-1147, 1993.

15

M. S. Cohen and R. M. Weisskoff. Ultra-fast imaging. Magnetic Resonance Imaging, 9:1-37, 1991.

16

B. M. Dawant, A. P. Zijdenbos, and R. A. Margolin. Correction of intensity variations in MR images for computer-aided tissue classification. IEEE Transactions on Medical Imaging, 12:770-781, 1993.

17

C. DeCarli, J. Maisog, D. G. M. Murphy, D. Teichberg, S. I. Rapoport, and B. Horwitz. Method for quantification of brain, ventricular, and subarachnoid CSF volumes from MR images. Journal of Computer Assisted Tomography, 16:274-284, 1992.

18

A. P. Dempster, N. M. Laird, and D. Rubin. Maximum likelihood from incomplete data via the EM algorithm. Journal of Royal Statistical Society, Series B, 39:1-38, 1977.

19

J. Frahm, M. L. Gyngell, and W. Hänicke. Rapid scan techniques. In D. D. Stark and W. G. J. Bradley, editors, Magnetic Resonance Imaging, volume 1, pages 165-203. Mosby-Year Book, St. Louis, MO, Second edition, 1992.

20

N. Friedland and D. Adam. Automatic ventricular cavity boundary detection from sequential ultrasound images using simulated annealing. IEEE Transactions on Medical Imaging, 8:344-353, 1989.

21

J. C. Gee, M. Reivich, and R. Bajcsy. Elastically deforming 3D atlas to match anatomical brain images. Journal of Computer Assisted Tomography, 17:225-236, 1993.

22

G. Gerig, O. Kübler, R. Kikinis, and F. A. Jolesz. Nonlinear anisotropic filtering of MRI data. IEEE Transactions on Medical Imaging, 11:221-232, 1992.

23

G. Gerig, J. Martin, R. Kikinis, O. Kubler, M. Shenton, and F. A. Jolesz. Unsupervised tissue type segmentation of 3D dual-echo MR head data. Image and Vision Computing, 10:349-360, 1992.

24

F. Godtliebsen. Noise reduction using Markov field models. Journal of Magnetic Resonance, 92:102-114, 1991.

25

M. L. Gyngell. The application of steady-state free precession in rapid 2DFT NMR imaging: FAST and CE-FAST sequences. Magnetic Resonance Imaging, 6:415-419, 1988.

26

A. Haase, D. Matthaei, R. Bartkowski, E. Duhmke, and D. Leibfritz. Inversion recovery snapshot FLASH MR imaging. Journal of Computer Assisted Tomography, 13:1036-1040, 1989.

27

G. J. Harris, E. H. Rhew, T. Noga, and G. Pearlson. User-friendly method for rapid brain and CSF volume calculation using transaxial MRI images. Psychiatry Research: Neuroimaging, 40:61-68, 1991.

28

J. Hennig, H. Friedburg, and D. Ott. Fast three-dimensional imaging of cerebrospinal fluid. Magnetic Resonance in Medicine, 5:380-383, 1987.

29

C. Jack. Brain and cerebrospinal fluid volume: Measurement with MR imaging (editorial). Radiology, 178:22-24, 1991.

30

T. L. Jernigan, G. A. Press, and J. R. Hesselink. Methods for measuring brain morphological features on magnetic resonance images: Validation and normal aging. Archives of Neurology, 47:27-32, 1990.

31

M. Kass, A. Witkin, and D. Terzopoulos. Snakes: Active contour models. International Journal of Computer Vision, 1:321-331, 1988.

32

D. N. Kennedy, P. A. Filipek, and V. S. Caviness. Anatomic segmentation and volumetric calculations in nuclear magnetic resonance imaging. IEEE Transactions on Medical Imaging, 8:1-7, 1989.

33

M. I. Kohn, N. K. Tanna, G. T. Herman, S. M. Resnick, P. D. Mozley, R. E. Gur, A. Alavi, R. A. Zimmerman, and R. C. Gur. Analysis of brain and cerebrospinal fluid volumes with MR imaging - Part I. Methods, reliability, and validation. Radiology, 178:115-122, 1991.

34

C. Li, D. B. Goldgof, and L. O. Hall. Knowledge-based classification and tissue labeling of MR images of human brain. IEEE Transactions on Medical Imaging, 12:740-750, 1993.

35

K. O. Lim and A. Pfefferbaum. Segmentation of MR brain images into cerebrospinal fluid spaces, white and grey matter. Journal of Computer Assited Tomography, 13:588-593, 1989.

36

A. Lundervold, L. Ersland, K.-I. Gjesdal, A. Smievoll, T. Tillung, H. Sundberg, and K. Hugdahl. Functional magnetic resonance imaging (fMRI) of primary visual processing. In Proceedings of the Second European Congress of Psychophysiology, April 7-10, Barcelona, Spain 1994.

37

A. Lundervold and F. Godtliebsen. Noise reduction and brain tissue classification in MR images. In Proceedings of the 1992 IEEE Nuclear Science Symposium and Medical Imaging Conference, Orlando, Florida, pages 1265-1267. IEEE, October 25-31 1992.

38

G. J. McLachlan and K. E. Basford. Mixture Models: Inference and Applications. Marcel Dekker, New York, 1988.

39

M. I. Miller, G. E. Christensen, Y. Amit, and U. Grenander. Mathematical textbook of deformable neuroanatomies. Proceedings of the National Academy of Sciences, USA, 90:11944-11948, 1993.

40

D. G. Murphy, C. DeCarli, M. B. Schapiro, S. I. Rapoport, and B. Horwitz. Age-related differences in volumes of subcortical nuclei, brain matter, and cerebrospinal fluid in healthy men as measured with magnetic resonance imaging. Archives of Neurology, 49:839-845, 1992.

41

M. Özkan, B. Dawant, and R. J. Maciunas. Neural-network-based segmentation of multi-modal medical images: A comparative and prospective study. IEEE Transactions on Medical Imaging, 12:534-544, 1993.

42

R. Poli, G. Coppini, and G. Valli. Recovery of 3D closed surfaces from sparse data. CVGIP: Image Understanding, 60:1-25, 1994.

43

S. P. Raya. Low-level segmentation of 3-D magnetic resonance brain images: A rule-based system. IEEE Transactions on Medical Imaging, 9:327-337, 1990.

44

B. D. Ripley. The use of spatial models as image priors. In A. Possolo, editor, Spatial Statistics and Imaging, volume 20 of Lecture Notes-Monograph Series, pages 309-340. Institute of Mathematical Statistics, Hayward, CA, 1991.

45

H. Rusinek and R. Chandra. Brain tissue volume measurement from magnetic resonance imaging: A phantom study. Investigative Radiology, 28:890-895, 1993.

46

P. Santago and H. D. Gage. Quantification of MR brain images by mixture density and partial volume modeling. IEEE Transactions on Medical Imaging, 12:566-574, 1993.

47

H. N. Schnitzlein and R. F. Murtagh, editors. Imaging Anatomy of the Head and Spine. Urban & Schwarzenberg, Inc., Baltimore, Maryland, second edition, 1990.

48

L. H. Staib and J. S. Duncan. Boundary finding with parametrically deformable models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14:1061-1075, 1992.

49

G. Storvik. A Bayesian approach to dynamic contours. Technical Report Report No. 860, Norwegian Computing Center, Oslo, December 1992. Thesis for the Dr.Scient degree at the University of Oslo.

50

G. Storvik. A Bayesian approach to dynamic contours through stochastic sampling and simulated annealing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16:976-986, 1994.

51

H. Suzuki and J. Toriwaki. Automatic segmentation of head MRI images by knowledge guided thresholding. Computerized Medical Imaging and Graphics, 15:233-240, 1991.

52

N. K. Tanna, M. I. Kohn, D. N. Horwich, P. R. Jolles, R. A. Zimmerman, W. M. Alves, and A. Alavi. Analysis of brain and cerebrospinal fluid volumes with MR imaging: Impact on PET data correction for atrophy - Part II. aging and Alzheimer dementia. Radiology, 178:123-130, 1991.

53

T. M. Taxt and A. Lundervold. Multispectral analysis of the brain using magnetic resonance imaging. IEEE Transactions on Medical Imaging, 13:470-481, 1994.

54

D. Terzopoulos and R. Szeliski. Tracking with Kalman snakes. In A. Blake and A. Yuille, editors, Active Vision, volume 20 of Artificial Intelligence Series, pages 3-20. The MIT Press, Cambridge, MA, 1992.

55

D. M. Titterington, A. F. M. Smith, and U. E. Makov. Statistical Analysis of Finite Mixture Distributions. John Wiley & Sons, New York, 1985.

56

C. F. J. Wu. On the convergence of the EM-algorithm. Annals of Statistics, 11:95-103, 1983.