13. IPMI 1993: Flagstaff, Arizona, USA

Shape Descrpition with Deformable Models

• Fred L. Bookstein, William D. K. Green:
  A Feature Space for Derivatives of Deformations. 1-16
  
• Chahab Nastar, Nicholas Ayache:
  Non-Rigid Motion Analysis in Medical Images: a Physically Based Approach. 17-32
  
• Timothy F. Cootes, Andrew Hill, Christopher J. Taylor, J. Haslam:
  The Use of Active Shape Models for Locating Structures in Medical Images. 33-47
  
• Marcel Worring, Arnold W. M. Smeulders, Lawrence H. Staib, James S. Duncan:
  Parameterized Feasible Boundaries in Gradient Vector Fields. 48-61
  
• Baba C. Vemuri, A. Radisavljevic, Christiana Morison Leonard:
  Multi-Resolution Stochastic 3D Shape Models for Image Segmentation. 62-76
  

Abstract Shape Description

• Bart M. ter Haar Romeny, Luc Florack, Alfons H. Salden, Max A. Viergever:
  Higher Order Differential Structure of Images. 77-93
  
• Guido Gerig, Thomas Koller, Gábor Székely, Christian Brechbühler, Olaf Kübler:
  Symbolic Description of 3-D Structures Applied to Cerebral Vessel Tree Obtained from MR Angiography Volume Data. 94-111
  
• Bryan S. Morse, Stephen M. Pizer, Alan Liu:
  Multiscale Medial Analysis of Medical Images. 112-131
  
• Hemant Tagare, Frans Vos, Conrade C. Jaffe, James S. Duncan:
  Arrangement: A Spatial Relation Comparing Part Embeddings and its Use in Medical Image Comparisons. 132-148
  
• Ross T. Whitaker:
  Characterizing First and Second-Order Patches Using Geometry-Limited Diffusion. 149-167
  

Knowledge-Based Systems

• Rainer Schubert, Karl Heinz Höhne, Andreas Pommert, Martin Riemer, Thomas Schiemann, Ulf Tiede:
  Spatial Knowledge Representation for Visualization of Human Anatomy and Function. 168-181
  
• Derek L. G. Hill, David J. Hawkes, Neil A. Harrison, Cliff F. Ruff:
  A Strategy for Automated Multimodality Image Registration Incorporating Anatomical Knowledge and Imager Characteristics. 182-196
  
• Glynn P. Robinson, Alan C. F. Colchester, Lewis D. Griffin:
  Model-Based Recognition of Anatomical Objects from Medical Images. 197-211
  

Neural Networks

• S. Haring, Max A. Viergever, Joost N. Kok:
  A Multiscale Approach to Image Segmentation Using Kohonen Networks. 212-224
  
• Andrew J. Worth, David N. Kennedy:
  Segmentation of Magnetic Resonance Brain Images Using Analog Constraint Satisfaction Neural Networrks. 225-243
  

Novel Imaging Methods

• Kevin Paulson, William R. B. Lionheart, Michael Pidcock:
  Fast, Non-Linear Inversion for Electrical Impedance Tomography. 244-258
  
• Simon R. Arridge, Martin Schweiger:
  Inverse Methods for Optical Tomography. 259-277
  
• Yue Cao, David N. Levin:
  Feature-Guided Acquisition and Reconstruction of MR Images. 278-292
  
• Warren E. Smith, Jonathan K. Riek, A. Murat Tekalp:
  Reconstruction of a Three-Dimensional Volume from a Motion-Corrupted Two-Dimensional Data Set in Magnetic Resonance Imaging. 293-306
  

Tomographic Reconstruction

• Valen E. Johnson:
  A Framework for Incorporating Structural Prior Information into the Estimation of Medical Images. 307-321
  
• Gene Gindi, Anand Rangarajan, M. Lee, P. J. Hong, I. George Zubal:
  Bayesian Reconstruction for Emissiom Tomography via Deterministic Annealing. 322-338
  
• Xiaochuan Pan, Chin-Tu Chen, John N. Aarsvold, Wing Hung Wong:
  Analytical Considerations of Photon Attenuation and System Response Function in SPECT Reconstruction. 339-353
  
• Zhenyu Wu:
  MAP Image Reconstruction Using Wavelet Decomposition. 354-371
  
• Jeffrey A. Fessler:
  Tomographic Reconstruction Using Information-Weighted Spline Smoothing. 372-386
  
• Chunwu Wu, Miles N. Wernick, Chin-Tu Chen:
  A 3-D Filtered-Backprojection Reconstruction Algorithm for Combined Parallel- and Cone-Beam SPECT Data. 387-400
  

Image Sequences

• Habib Benali, Irène Buvat, Frédérique Frouin, J. P. Bazin, R. Di Paola:
  Foundations of Factor Analysis of Medical Image Sequences: A Unified Approach and Some Practical Implications. 401-421
  
• Martin Sámal, Miroslav Kárný, Daniel Zahálka:
  Bayesian Identification of a Physiological Model in Dynamic Scintigraphic Data. 422-437
  
• K. Shields, D. C. Barber, S. B. Sherriff:
  Image Registration for the Investigation of Atherosclerotic Plaque Movement. 438-458
  

Statistical Pattern Recognition

• Terry S. Yoo, James M. Coggins:
  Using Statistical Pattern Recognition Techniques to Control Variable Conductance Diffusion. 459-471
  
• Nico Karssemeijer:
  Adaptive Noise Equalization and Image Analysis in Mammography. 472-486
  
• Dirk Vandermeulen, Rudi Verbeeck, L. Berben, Paul Suetens, Guy Marchal:
  Continuous Voxel Classification by Stochastic Relaxation: Theory and Application to MR Imaging and MR Angiography. 487-506
  

Image Quality

• Robert F. Wagner, David G. Brown, Jean-Pierre Guédon, Kyle J. Myers, Keith A. Wear:
  Multivariate Gaussian Pattern Classification: Effects of Finite Sample Size and the Addition of Correlated of Noisy Features on Summary Measures of Goodness. 507-524
  
• Richard G. Swensson:
  Measuring Detection and Localization Performance. 525-541
  
• Michael F. Insana, Timothy J. Hall:
  Methods for Estimating the Efficiency of Human and Computational Observers in Ultrasonography. 542-552
  
• Mary P. Anderson, Murray H. Loew, David G. Brown:
  Gabor Function Based Medical Image Compression. 553-567
  

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