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研究生(外文):Hsu, Lu Hung
論文名稱(外文):A 3D Registration Method for Surface Model of Drosophila Brain
指導教授(外文):Chen, Yung-Chang
外文關鍵詞:drosophila brainsurface model
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Research on structures and functions in human brains has long been popular. Scientists are trying to find out connections between neural networks in brains and the related diseases such as Alzheimer's or Parkinson's disease. Drosophila, also called fruit fly informally, is widely used in brain research due to some appealing properties such as its similarities in some brain functions like memorizing and learning things, simplicity compared to human brains and easily culturing characteristic. When analyzing brains from different flies, one should first align the significant organs or neurons inside the brains in order to eliminate variations between different flies, making the analysis easier and more robust. Thus, a volumetric registration process is required to match two volume data of brains. When volumetric registration is applied, we need to specify features, those points should be aligned after the procedure, and deform the brain volume into the target one according to these pre-specified features. In practice, large numbers of feature points are necessitated to obtain a precise registration result. However, great number of features involved implying more time is needed for the registration process, especially for 3D volume data. Notice that there is a great amount of features allocated on the boundary of brain slices, that is, the surface of the volume data. We develop a surface registration framework for drosophila brains which can first align the surfaces of brains, thus reducing the number of features required for the following volumetric registration process. Moreover, combined with our surface registration approach, performance of volumetric registration can be greatly improved since traditional volumetric registration process does not take surfaces into account.
Table of Contents
List of Figures iv
Chapter1 Introduction
Chapter2 Related Work
Chapter3 Pre-Processing
Chapter4 Surface Flattening
Chapter5 Surface Registratio
Chapter6 Experimental Results
Chapter7 Conclusion and Future Work

[1] M. Alexa, “Recent Advances in Mesh Morphing”, Computer Graphics Forum 2002, vol. 21, issue 2, page 173-198

[2] P.J. Besl, “A Method for Registration of 3-D Shapes”, IEEE Transactions on Pattern analysis and Machine Intelligence, vol. 14, no. 2, 1992

[3] A.A. Joshi, D.W. Shattuck, P.M. Thompson, and R.M. Leahy, “Cortical surface parameterization by p-harmonic energy minimization”, IEEE Biomedical Imaging: Nano to Macro, 2004

[4] K. Rohr, H.S. Stiehl, R. Sprengel, T.M. Buzug, J. Weese, and M.H. Kuhn, “Landmark-based elastic registration using approximating thin-plate splines”, IEEE Transactions on Medical Imaging, vol. 20, no. 6, page 526-534, 2001

[5] F.L. Bookstein, “Principle Warps: Thin-plate splines and the decomposition of deformations”, IEEE Transactions on Pattern analysis and Machine Intelligence, vol. 11, no. 6, 1989

[6] B. Fischl, M.I. Sereno, R.B.H Tootell, and A.M. Dale, “High-resolution intersubject averaging and a coordinate system for the cortical surface”, Human Brain Mapping 8, page 272-284, 1999

[7] A. Joshi, R. Leahy, A. Toga, and D. Shattuck, “A framework for brain registration via simultaneous surface and volume flow”, Information Processing in Medical Imaging, vol.5636, page 576-588, 2009

[8] A. Klein, S.S. Ghosh, B. Avants, B.T.T Yeo, B. Fischl, B. Ardekani, J.C. Gee, J.J. Mann, and R.V. Parsey, “Evaluation of volume-based and surface-based brain image registration methods” NeuroImage, vol, 51, page 214-220, 2010

[9] A. Joshi, D. Shattuck, P. Thompson, and R. Leahy, “Brain image registration using cortically constrained harmonic mappings”, Information Processing in Medical Imaging, vol. 4584, page 359-371, 2007

[10] A.A. Joshi, D.W. Shattuck, P.M. Thompson, and R.M. Leahy, “Surface-constrained volumetric brain registration using harmonic mappings”, IEEE Transaction on Medical Imaging, vol. 26, no. 12, 2007

[11] N. Lepore, A.A. Joshi, R.M. Leahy, C.Brun, Y.Y. Chou, X. Pennec, A.D. Lee, M. Barysheva, G.I. de Zubicaray, M.J. Wright, K.L. McMahon, A.W. Toga, P.M. Thompson, “A new combined surface and volume registration”, SPIE Medical Imaging, 2010

[12] K. S. Arun, T.S. Huang, and S.D. Blostein, “Least-Squares Fitting of Two 3-D Point Sets”, IEEE Transactions on Pattern Analysis and Machine Intelegence, vol. PAMI-9, no. 5, 1987

[13] D. Rueckert, L. I. Sonoda, C. Hayes, D. L. G. Hill, M. O. Leach, “Nonrigid Registration Using Free-Form Deformations: Application to Breast MR Images”, IEEE Transaction on Medical Imaging, vol. 18, no. 8, 1999

[14] R.F. Tobler, S. Maierhofer, “A mesh data structure for rendering and subdivision”, In Proceedings of WSCG (International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision), page 157–162, 2006

[15] G. E. Christensen, S. C. Joshi, and M. I. Miller, “Volumetric transformation of brain anatomy,” IEEE Transactions on Medical Imaging., vol. 16, no. 6, page 864–877, 1997

[16] P. M. Thompson and A. W. Toga, “A surface-based technique for warping 3-dimensional brain,” IEEE Transactions on Medical Imaging., vol. 15, no. 4, page 1–16, 1996.

[17] A. W. F. LEE, W. Sweldens, P. Schroder, L. Cowsar , and D. Dobkin, “MAPS: Multiresolution Adaptive Parameterization of Surfaces”, Proceedings of SIGGRAPH, page. 95–104, 1998

[18] J. Warren, H. Weimer, “Subdivision Methods for Geometric Design”, Academic Press,2002

[19] E. J. Stollnitz, T. D. Derose, D. H. Salesin, “Wavelets for Computer Graphics”, Morgan Kaufmann Publishers, 1996

[20] Loop, “Smooth subdivision surfaces based on triangles”, Master’s thesis, Department of Mathematics, University of Utah, 1987

[21] A. Zaharescu, E. Boyer, Kiran. Varanasi and R. Horaud, P. Team, “Surface Feature Detection and Description with Applications to Mesh Matching”, Computer Vision and Pattern Recognition, 2009.

[22] R. Gal and D. Cohen-Or, “Salient Geometric Features for Partial Shape Matching and Similarity”, ACM Transactions on Graphics (TOG), 2006

[23] P. Cignoni, C. Rocchini and R. Scopigno, “Metro: measuring error on simplified surfaces”, Computer Graphics Forum, 1998

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