Information Processing in Medical Imaging

Partial table of contents: Applications of Markov Random Fields in Medical Imaging (R. Leahy, et al.). A Spatial Interaction Model for Statistical Image Processing (Z. Liang, et al.). Stopping Rules, Bayesian Reconstructions and Sieves (J. Llacer, et al.). Development of Non-Symmetric, Two-Dimensional Filtering in Fourier Transform Space (V. Fidler, et al.). Time-of-Flight Positron Imaging Algorithms (M. Yamamoto). Parallelism in Electrical Impedance Tomography (W. Breckon, et al.). Video-Rate Reconstruction of CT and MR Images (A. Gmitro, et al.). A Method for Characterizing Soft Tissue Microstructure Using Parametric Ultrasound Imaging (M. Insana & T. Hall). Improved Methods of Low Frequency Restoration for Dynamic Range Improvement in MR Imaging (H. Yan & J. Gore). The MRI Measurement of NMR and Physiological Parameters in Tissue to Study Disease Process (P. Tofts, et al.). Evaluation of Cytologic Deformation by Boundary-Driven Energy Minimization (W. Oliver, et al.). Application of a Visual Model to Vascular Segmentation (G. Besson). Structural and Statistical Object Recognition in Medical Images (C. Dary, et al.). Reversible 3D Compression of CT Data Using HINT (P. Roos & M. Viergever). Estimation of Fractal Dimension of Parenchymal Organs Based on Power Spectral Analysis of Nuclear Medicine Scans (E. Cargill, et al.). Index.Ortendahl, Douglas A. is the author of 'Information Processing in Medical Imaging', published 1990 under ISBN 9780471560647 and ISBN 0471560642.