Information Processing in Medical Imaging: 13th International Conference, IPMI'93, Flagstaff, Arizona, USA, June 14-18, 1993. Proceedings: Lecture Notes in Computer Science, cartea 687
Editat de Harrison H. Barrett, Arthur F. Gmitroen Limba Engleză Paperback – iun 1993
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Specificații
ISBN-13: 9783540568001
ISBN-10: 354056800X
Pagini: 592
Ilustrații: XVIII, 574 p.
Dimensiuni: 155 x 235 x 31 mm
Greutate: 1.81 kg
Ediția:1993
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 354056800X
Pagini: 592
Ilustrații: XVIII, 574 p.
Dimensiuni: 155 x 235 x 31 mm
Greutate: 1.81 kg
Ediția:1993
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
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.