Information Processing in Medical Imaging 13th International Conference, IPMI'93, Flagstaff, Arizona, USA, June 14-18, 1993. Proceedings

Information Processing in Medical Imaging 13th International Conference, IPMI'93, Flagstaff, Arizona, USA, June 14-18, 1993. Proceedings / edited by Harrison H. Barrett, Arthur F. Gmitro.

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 d...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Barrett, Harrison H. (Editor), Gmitro, Arthur F. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1993.
Edition:1st ed. 1993.
Series:Lecture Notes in Computer Science, 687
Springer eBook Collection.
Subjects:
Optical data processing.
Artificial intelligence.
Bioinformatics .
Computational biology .
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • A feature space for derivatives of deformations
  • Non-rigid motion analysis in medical images: a physically based approach
  • The use of active shape models for locating structures in medical images
  • Parameterized feasible boundaries in gradient vector fields
  • Multi-resolution stochastic 3D shape models for image segmentation
  • Higher order differential structure of images
  • Symbolic description of 3-D structures applied to cerebral vessel tree obtained from MR angiography volume data
  • Multiscale Medial analysis of medical images
  • Arrangement: A spatial relation comparing part embeddings and its use in medical image comparisons
  • Characterizing first and second-order patches using geometry-limited diffusion
  • Spatial knowledge representation for visualization of human anatomy and function
  • A strategy for automated multimodality image registration incorporating anatomical knowledge and imager characteristics
  • Model-based Recognition of anatomical objects from medical images
  • A multiscale approach to image segmentation using Kohonen networks
  • Segmentation of Magnetic resonance brain images using analog constraint satisfaction neural networks
  • Fast, non-linear inversion for Electrical Impedance Tomography
  • Inverse methods for Optical Tomography
  • Feature-guided acquisition and reconstruction of MR images
  • Reconstruction of a three-dimensional volume from a motion-corrupted two-dimensional data set in magnetic resonance imaging
  • A framework for incorporating structural prior information into the estimation of medical images
  • Bayesian reconstruction for emission tomography via deterministic annealing
  • Analytical considerations of photon attenuation and system response function in SPECT reconstruction
  • MAP image reconstruction using wavelet decomposition
  • Tomographic reconstruction using information-weighted spline smoothing
  • A 3-D filtered-backprojection reconstruction algorithm for combined parallel- and cone-beam SPECT data
  • Foundations of factor analysis of medical image sequences: A unified approach and some practical implications
  • Bayesian identification of a physiological model in dynamic scintigraphic data
  • Image registration for the investigation of atherosclerotic plaque movement
  • Using statistical pattern recognition techniques to control variable conductance diffusion
  • Adaptive noise equalization and image analysis in mammography
  • Continuous voxel classification by stochastic relaxation: Theory and application to MR imaging and MR angiography
  • Multivariate gaussian pattern classification: Effects of finite sample size and the addition of correlated or noisy features on summary measures of goodness
  • Measuring detection and localization performance
  • Methods for estimating the efficiency of human and computational observers in ultrasonography
  • Gabor function based medical image compression.

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