M6-61 Preserving Poisson Characteristics of PET Data with Weighted OSEM Reconstruction
C. Michel¹, M. Sibomana¹, A. Bol¹, X. Bernard¹, M. Defrise², C. Comtat³, P.E. Kinahan³, D.W. Townsend^{3
1PET Laboratory, Catholic Univ. of Louvain, Louvain-la-Neuve, Belgium, 2Division of Nuclear Medicine, Free Univ. of Brussels AZ-VUB, Brussels, Belgium, 3Dept. of Radiology, Univ. of Pittsburgh, Pittsburgh, USA}

M6-63 Wavelet Based Multiresolution Expectation Maximization Reconstruction Algorithm for Positron Emission Tomography
A. Raheja¹, A.P. Dhawan^{1
1Dept. of BioEngineering, Univ. of Toledo, Toledo, OH}

M6-65 Regularization Methods for Image Reconstruction with Natural Pixels
T. Cao-Huu^1,2, G. Lachiver², C. Burnham³, D. Kauffman³, G. Brownell^3,4, J. Correia^{3
1Harvard Univ., 2Universite de Sherbrooke, 3Massachusetts General Hospital, 4MIT}

M6-67 An Inverse Monte Carlo Algorithm for 3-D PET Image Reconstruction
H.A. Kudrolli¹, W.A. Worstell¹, V.G. Zavarzin^{1
1Boston Univ. Physics Dept.}

M6-69 Methods to Reduce Image Oscillation of OS-EM Reconstruction
S. Huang^{1
1Division of Nuclear Medicine and Biophysics, Dept. of Molecular and Medical Pharmacology UCLA School of Medicine, and Laboratory of Structural Biology and Molecular Medicine}

M6-71 Improvement of Reconstructed Images in Ordered Subset - Bayesian Reconstruction Method
H. Urabe¹, K. Ogawa^{1
1Hosei Univ., Tokyo, Japan}

M6-73 Optimized Image Reconstruction for Emission Tomography Using Ordered Subsets, Median Root Prior, Successive Substitutions and a Web-based Interface
G. Kontaxakis¹, L.G. Strauss¹, G. van Kaick^{1
1German Cancer Research Center (DKFZ), Division of Oncological Diagnostics and Therapy, Im Neuenheimer Feld 280, Heidelberg , Germany}

M6-75 Assessment of the Performance of Reconstruction Processes for Computed Tomography
P.R. Marechal^1,2, D. Togane², A. Celler², J.M. Borwein^{1
1CECM-Dept. of Mathematics and Statistics, Simon Fraser Univ., Burnaby BC, Canada, 2Div. of Nuclear Medicine, Vancouver Hospital and Health Sci. Centre, Vancouver BC, Canada}

M6-77 Reconstruction of High-Resolution, Multi-Energy, X-Ray Computed Tomography Laboratory Mouse Images
S.S. Gleason¹, S.J. Norton¹, H. Sari-Sarraf¹, M.J. Paulus¹, D.K. Johnson^{1
1ORNL, Oak Ridge, TN}

M6-79 Comparison of Optimal Post Smoothing and Smoothing Between Iterations for SPECT Reconstruction
E.T. Slijpen¹, F.J. Beekman^{1
1Dept. of Nuclear Medicine, Univ. Hospital Utrecht}

M6-81 The Effect of the Number of Iterations and the FWHM of Gaussian Filters on the Detection and Localization of Ga-67 Tumors in Thoracic SPECT MLEM(OSEM) Reconstructions
R.G. Wells¹, P. Simkin¹, P.F. Judy², M.A. King¹, P.H. Pretorius¹, H.C. Gifford¹, P. Schneider^{1
1Univ. of Massachusetts Medical Center, Worcester, MA, 2Brigham and Women's Hospital, Boston, MA}

M6-83 Hyperfixation Point-source Reconstruction by the Maximum Entropy on the Mean Method
C.I. Amblard¹, P.E. Grangeat¹, H.E. Benali², B.E. Bendriem^{3
1LETI, DSYS, CEA-G, Grenoble, france, 2ISERM u66, Paris, France, 3SHFJ, CEA, France}

M6-85 Detector Response Models for Statistical Iterative Image Reconstruction
V. Selivanov¹, Y. Picard¹, J. Cadorette¹, S. Rodrigue¹, R. Lecomte^{1
1Metabolic and Functional Imaging Center, Université de Sherbrooke}

M6-87 Comparison of an Analytical and an Iterative Based Collimator-Detector Response Compensation Method in SPECT
W. Wang¹, B.M. Tsui^1,2, E.C. Frey^1,2, D.E. Wessell^{1
1The Univ. of North Carolina at Chapel Hill, Dept. of Biomedical Eng., 2The Univ. of North Carolina at Chapel Hill, Dept. of Radiology}

M6-89 An Interpolation Approach Using Signal Recovery and Discrete Fourier Transform
C. Kao¹, X. Pan¹, M.A. Anastasio¹, P. La Riviere^{1
1Univ. of Chicago}

M6-91 Effect of an Imaginary Combination Coefficient on the Global Image Variance in SPECT
X. Pan^{1
1The Univ. of Chicago}

M6-93 The Possibility of Complete Restoration of the Collimator Response in SPECT Imaging
J. You¹, J. Li¹, Z. Liang^{1
1Dept. of Radiology, SUNY, Stony Brook, NY -8460}
M6-95 Theoretical Determination of the Collimator Geometrical Transfer Function for the Reconstruction of SPECT Data
A.R. Formiconi¹, A. Passeri¹, P. Calvini^{2
1Univ. of Florence, 2Univ. of Genova}

M6-97 Compensation for the Resposne Function of a Medium Energy Collimator in Ga-67 Planar and SPECT Imaging
C. Tocharoenchai¹, B.M. Tsui¹, D.P. Lewis¹, E.C. Frey¹, X. Zhao^{1
1Univ. of North Carolina at Chapel Hill}

M6-99 Exact filtered backprojection reconstruction of truncated cone-beam projections
H. Kudo¹, F. Noo², M. Defrise^{3
1Inst. of Information Sci. and Electronics, Univ. of Tsukuba, Japan, 2Univ. of Liege, Belgium, 3Free Univ. of Brussels, Belgium}

M6-101 Analytical Algorithm for 3D Cone Beam SPECT Reconstruction with Uniform Attenuation Correction
A.V. Bronnikov^{1
1KEMA Nederland B.V.,}

M6-103 Multi-slice Helical CT: Scan, Reconstruction and Performances
H. Hu^{1
1General Electric Company}

M6-105 Non-Redundant Data Capture and Highly Efficient Reconstruction for Helical Cone-Beam CT
H. Turbell¹, P. Danielsson^{1
1Image Processing Laboratory, Dept. of Electrical Eng., Linkoping Univ., 581 83 Linkoping, Sweden}