A new point-based warping method for enhanced and simplified analysis of functional brain image data

NeuroImage

Volumn 19, Issue 4, 2003, Pages 1716-1729

  Pielot, Rainer ^a   Scholz, Michael ^b   Obermayer, Klaus ^b   Scheich, Henning ^a   Gundelfinger, Eckart D ^a   Hess, Andreas ^a,c  

^a LEIBNIZ INSTITUTE FOR NEUROBIOLOGY   (Germany)

^b TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^c UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC METHOD; ANALYTICAL ERROR; ANIMAL TISSUE; ARTICLE; AUDITORY STIMULATION; AUTORADIOGRAPHY; BRAIN CORTEX; CONTROLLED STUDY; GERBIL; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; INTERMETHOD COMPARISON; NONHUMAN; QUALITY CONTROL; TECHNIQUE; THREE DIMENSIONAL IMAGING;

EID: 0041924027     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1053-8119(03)00234-9     Document Type: Article

References (50)

1. Bajcsy R., Kovacic S. Multiresolution elastic matching. Comput. Vis. Graphics Image Proc. 46:1989;1-21.
2. Banerjee, A., Christensen, G., Haller, J., Joshi, S., Miller, M.I., Raichle, M., 1995. Accommodating anatomical variability in functional imaging via deformable templates. Proc. 30th Annual Allerton Conf. On Communication, Control and Computing, Univ. of Illinois at Urbana-Champaign.
3. Bookstein F.L. Principal warps thin-plate splines and the decomposition of deformations . IEEE Trans. Pattern Anal. Mach. Intell. 11:1989;567-585.
4. Budinger E., Heil P., Scheich H. Functional organization of auditory cortex in the Mongolian gerbil (Meriones unguiculatus). III. Anatomical subdivisions and corticocortical connections. Eur. J. Neurosci. 12:2000;2425-2451.
5. Cahill L., Ohl F., Scheich H. Alteration of auditory cortex activity with a visual stimulus through conditioning a 2-deoxyglucose analysis . Neurobiol. Learn. Mem. 65:1996;213-222.
6. Christensen G.E., Rabbitt R.D., Miller M.I. Deformable templates using large deformation kinematics. IEEE Trans. Image Proc. 5:(10):1996;1435-1447.
7. Davatzikos C. Spatial normalization of three-dimensional brain images using deformable models. J. Comput. Assist. Tomogr. 20:(4):1996;656-665.
8. Declerck, J., Subsol, G., Thirion, J.-P., Ayache, N., 1995. Automatic retrieval of anatomical structures in three-dimensional medical images. INRIA Tech. Rep. 2485.
9. Duta N., Sonka M. Segmentation and interpretation of MRI brain images: an improved active shape model . IPMI. 1997;375-380.
10. Förstner W. A feature based correspondence algorithm for image matching. Int. Arch. Photogramm. Remote Sens. 26:1986;150-166.
11. Franke R., Nielson G. Smooth interpolation of large sets of scattered data. Int. J. Num. Methods Eng. 15:1980;1691-1704.
12. Frantz, S., Rohr, K., Stiehl, H.S., 1998. Multi-step differential approaches for the localization of 3D point landmarks in medical images. J. Comput. Inf. Technol. 6(4): 435-447.
13. Frantz, S., Rohr, K., Stiehl, H.S., Kim, S.-I., Weese, J., 1999. Validating point-based MR/CT registration based on semi automatic landmark extraction, in: CARS'99, pp. 233-237.
14. Ge, Y., Fitzpatrick, J.M., Kessler, R.M., Jeske-Janicka, M., 1995. Intersubject brain image registration using both cortical and subcortical landmarks. SPIE Image Processing 2434, 81-95.
15. Gonzalez, R.C., Woods, R.E., 1992. Digital Image Processing. Reading, Addison-Wesley.
16. Gordon W.J., Wixom J.A. Shepard's method of "metric interpolation" to bivariate and multivariate interpolation. Math. Comput. 32:(4):1978;253-264.
17. Hardy R.L. Multiquadric equations of topography and other irregular surfaces. J. Geophys. Res. 76:(8):1971;1905-1915.
18. Hardy R.L., Göpfert W.M. Least squares prediction of gravity anomalies, geoidal undulations and deflections of the vertical with multiquadric harmonic functions. Geophys. Res. Lett. 2:1975;423-426.
19. Hartkens et al., 1999. Performance of 3D differential operators for the detection of anatomical point landmarks in MR and CT images, in: SPIE's International Symposium of Medical Imaging, pp. 32-43.
20. Hess A., Scheich H. Optical and FDG mapping of frequency-specific activity in auditory cortex. Neuroreport. 7:(15-17):1996;2643-2647.
21. Hess A., Lohmann K., Gundelfinger E.D., Scheich H. A new method for reliable and efficient reconstruction of 3-dimensional images from autoradiographs of brain sections. J. Neurosci. Methods. 84:1998;77-86.
22. Joshi S.C., Miller M.I., Christensen G.E., Banerjee A., Coogan T.A., Grenander U. Hierarchical brain mapping via a generalized dirichlet solution for mapping brain manifolds, in Vision Geometry IV, Proceedings of the SPIE Conference on Optical Science . Engineering and Instrumentation. 2573:1995;278-289.
23. Kosugi Y., Sase M., Kuwatani H., Kinoshita N., Momose T., Nishikawa J., Watanabe T. Neural networking mapping for nonlinear stereotactic normalization of brain MR images. J. Comput. Assist. Tomogr. 17:(3):1993;455-460.
24. Le Goualher G., Barillot C., Bizais Y. Three-dimensional segmentation and representation of cortical sulci using active ribbons. Int. J. Pattern Recogn. Artificial Intell. 11:(8):1997;1295-1315.
25. Lohmann K., Staak S., Gundelfinger E.G., Hess A. Spatial based polynomial 2D-warping a possibility to reduce interindividual variations in functional neuroimaging? IEEE Int. Conf. Image Proc. 3:1996;739-742.
26. Maintz J.B.A., Viergever M.A. A survey of medical image registration. Med.Image Anal. 2:(1):1998;1-37.
27. McInerney T., Hamarneh G., Shenton M., Terzopoulous D. Deformable organisms for automatic medical image analysis. Med. Image Anal. 6:(3):2002;261-266.
28. Minoshima S., Koeppe R.A., Frey K.A., Kuhl D.E. Anatomic standardization linear scaling and non-linear warping of functional brain images . J. Nucl. Med. 35:1994;1528-1537.
29. Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E.D., Hess, A., 2001. 3D edge detection to define landmarks for point-based warping in brain imaging, in: Proceedings of the IEEE International Conference on Image Processing, IEEE Computer Society, Thessaloniki, Greece, pp. 343-346.
30. Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E.D., Hess, A., 2002. Performance of 3D landmark detection methods for point-based warping in autoradiographic brain imaging. 5th IEEE Southwest Symposium on Image Analysis and Interpretation, in: Proceedings of the 5th IEEE Southwest Symposium on Image Analysis and Interpretation, IEEE Computer Society, Santa Fe, NM, pp. 269-273.
31. Richter K., Hess A., Scheich H. Functional mapping of transsynaptic effects of local manipulations of inhibition in gerbil auditory cortex. Prog. Brain Res. 831:1999;184-199.
32. Rohr K. On 3D differential operators for detecting point landmarks. Image Vis. Comput. 15:(3):1997;219-233.
33. Rohr K. Localization properties of direct corner detectors. J. Math. Imag. Vis. 4:(2):1997;219-233.
34. Ruprecht D., Müller H. Image warping with scattered data interpolation methods. IEEE Comput. Graphics Appl. 15:(2):1995;37-43.
35. Scheich H., Heil P., Langner G. Functional organization of auditory cortex in the Mongolian gerbil (Meriones unguiculatus). II. Tonotopic 2-deoxyglucose. Eur. J. Neurosci. 5:1993;898-914.
36. Scheich H., Simonis C., Ohl F., Tillein J., Thomas H. Functional organization and learning-related plasticity in auditory cortex of the Mongolian gerbil. Progr. Brain Res. 97:1996;135-143.
37. Schnack H.G., Hulshoff Pol H.E., Baare W.F.C., Viergever M.A., Kahn R.S. Automatic segmentation of the ventricular system from MR images of the human brain. NeuroImage. 14:2001;95-104.
38. Shepard, D., 1968. A two-dimensional interpolation function for irregularly-spaced data, in: Proceedings of the 1968 ACM National Conference, pp. 517-524.
39. 14C)deoxyglucose method for the measurement of local cerebral glucose utilization theory, procedure, and normal values in the conscious and anaesthetized albino rat . J. Neurochem. 28:1977;897-916.
40. Thomas H., Tillein L., Heil P., Scheich H. Functional organization of auditory cortex in the Mongolian gerbil (Meriones unguiculatus). I. Electrophysiological mapping of frequency representation and distinction of fields. Eur. J. Neurosci. 5:(7):1993;882-897.
41. Thompson P.M., Toga A.W. A surface-based technique for warping three-dimensional of the brain. IEEE Trans. Med. Imag. 15:(4):1996;1-16.
42. Thompson, P.M., Toga, A.W., 1997. Detection, visualization and animation of abnormal anatomic structure with a deformable probabilistic brain atlas based on random vector field transformations. Medical Image Analysis 1(4), 271-294.
43. Thompson P.M., Toga A.W. Anatomically-driven strategies for high-dimensional brain image warping and pathology detection. Toga A.W. Brain Warping. 1998;311-336 Academic Press, San Diego.
44. Toga A.W. Visualization and warping of multimodality brain imagery. Thatcher R.W., Hallet M., Zeffiro T., John E.R., Huerta M. Functional Neuroimaging. 1994;171-180 Academic Press, San Diego.
45. Toga A.W. Brain Warping. 1998;Academic Press, San Diego.
46. Toga A.W., Thompson P.M. An introduction to brain warping. Toga A.W. Brain Warping. 1998;1-26 Academic Press, San Diego.
47. Wetzel W., Wagner T., Ohl F.W., Scheich H. Categorical discrimination of direction in frequency-modulated tones by Mongolian gerbils. Behav. Brain Res. 91:(1-2):1998;29-39.
48. Wolberg, G., 1990. Digital Image Warping, IEEE Computer Society Press.
49. Woods R.P., Grafton S.T., Watson J.D., Sicotte N.L., Mazziotta J.C. Automated image registration. II. Intersubject validation of linear and nonlinear models. J. Comput. Assist. Tomogr. 22:(1):1998;153-165.
50. Zuschratter W., Gass P., Herdegen T., Scheich H. Comparison of frequency-specific c-Fos expression and fluoro-2-deoxyglucose uptake in auditory cortex of gerbils (Meriones unguiculatus). Eur. J. Neurosci. 7:(7):1995;1614-1626.