Information Processing in Medical Imaging
Springer Berlin (Verlag)
978-3-540-56800-1 (ISBN)
HARRISON H. BARRETT received a BS in physics from Virginia Polytechnic Institute, an MS in Physics from MIT, and a PhD in applied physics from Harvard. Dr. Barrett is a professor in the Optical Sciences Center, the Department of Radiology, and the Program in Applied Mathematics and serves as Director of the Center for Gamma-ray Imaging. The holder of twenty-three U.S. patents, he is the recipient of the IEEE Medical Imaging Scientist Award and a Humboldt Prize.
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.
Erscheint lt. Verlag | 1.6.1993 |
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Reihe/Serie | Lecture Notes in Computer Science |
Zusatzinfo | XVIII, 574 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 740 g |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Informatik ► Weitere Themen ► Bioinformatik | |
Schlagworte | 3D • Bildfolgen • Bildgebende Verfahren (Medizin) • Bildverarbeitung • Cognition • Computertomographie • Formbeschreibung • Hardcover, Softcover / Informatik, EDV/Informatik • HC/Informatik, EDV/Informatik • Image Analysis • Image Sequences • Informationsverarbeitung • Knowledge-Based System • Knowledge-based systems • Knowledge Representation • Medical Imaging • Medizinische Bilderstellung • Mustererkennung • Shape Description • statistical pattern recognition • Statistische Mustererkennung • Tomographic Reconstruction • Tomographische Rekonstruktion |
ISBN-10 | 3-540-56800-X / 354056800X |
ISBN-13 | 978-3-540-56800-1 / 9783540568001 |
Zustand | Neuware |
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