This volume contains the proceedings of the thirteenth biennial International Conference on Information Processing in Medical Imaging (IPMI XIII), held on the campus of Northern Arizona University in Flagstaff, Arizona, in June 1993. This conference was the latest in a series of meetings where new developments in the acquisition, analysis and utilization of medical images are presented, discussed, dissected, and extended. Today IPMI is widely recognized as a preeminent international forum for presentation of cutting-edge research in medical imaging and imageanalysis. The volume contains the text of the papers presented orally atIPMI XIII. Over 100 manuscripts were submitted and critically reviewed, of which 35 were selected for presentation. In this volume they are arranged into nine categories: shape description with deformable models, abstractshape description, knowledge-based systems, neural networks, novel imaging methods, tomographic reconstruction, image sequences, statistical pattern recognition, and image quality.
Author(s): Fred L. Bookstein, William D. K. Green (auth.), Harrison H. Barrett, A. F. Gmitro (eds.)
Series: Lecture Notes in Computer Science 687
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1993
Language: English
Pages: 574
Tags: Image Processing and Computer Vision; Artificial Intelligence (incl. Robotics); Computer Appl. in Life Sciences
A feature space for derivatives of deformations....Pages 1-16
Non-rigid motion analysis in medical images: a physically based approach....Pages 17-32
The use of active shape models for locating structures in medical images....Pages 33-47
Parameterized feasible boundaries in gradient vector fields....Pages 48-61
Multi-resolution stochastic 3D shape models for image segmentation....Pages 62-76
Higher order differential structure of images....Pages 77-93
Symbolic description of 3-D structures applied to cerebral vessel tree obtained from MR angiography volume data....Pages 94-111
Multiscale Medial analysis of medical images....Pages 112-131
Arrangement: A spatial relation comparing part embeddings and its use in medical image comparisons....Pages 132-148
Characterizing first and second-order patches using geometry-limited diffusion....Pages 149-167
Spatial knowledge representation for visualization of human anatomy and function....Pages 168-181
A strategy for automated multimodality image registration incorporating anatomical knowledge and imager characteristics....Pages 182-196
Model-based Recognition of anatomical objects from medical images....Pages 197-211
A multiscale approach to image segmentation using Kohonen networks....Pages 212-224
Segmentation of Magnetic resonance brain images using analog constraint satisfaction neural networks....Pages 225-243
Fast, non-linear inversion for Electrical Impedance Tomography....Pages 244-258
Inverse methods for Optical Tomography....Pages 259-277
Feature-guided acquisition and reconstruction of MR images....Pages 278-292
Reconstruction of a three-dimensional volume from a motion-corrupted two-dimensional data set in magnetic resonance imaging....Pages 293-306
A framework for incorporating structural prior information into the estimation of medical images....Pages 307-321
Bayesian reconstruction for emission tomography via deterministic annealing....Pages 322-338
Analytical considerations of photon attenuation and system response function in SPECT reconstruction....Pages 339-353
MAP image reconstruction using wavelet decomposition....Pages 354-371
Tomographic reconstruction using information-weighted spline smoothing....Pages 372-386
A 3-D filtered-backprojection reconstruction algorithm for combined parallel- and cone-beam SPECT data....Pages 387-400
Foundations of factor analysis of medical image sequences: A unified approach and some practical implications....Pages 401-421
Bayesian identification of a physiological model in dynamic scintigraphic data....Pages 422-437
Image registration for the investigation of atherosclerotic plaque movement....Pages 438-458
Using statistical pattern recognition techniques to control variable conductance diffusion....Pages 459-471
Adaptive noise equalization and image analysis in mammography....Pages 472-486
Continuous voxel classification by stochastic relaxation: Theory and application to MR imaging and MR angiography....Pages 487-506
Multivariate gaussian pattern classification: Effects of finite sample size and the addition of correlated or noisy features on summary measures of goodness....Pages 507-524
Measuring detection and localization performance....Pages 525-541
Methods for estimating the efficiency of human and computational observers in ultrasonography....Pages 542-552
Gabor function based medical image compression....Pages 553-567
