Information Processing in Medical Imaging

Table of Contents

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   Book Overview
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   Chapter 1 Automatic construction of eigenshape models by Genetic Algorithm
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   Chapter 2 Quadratic variation of deformations
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   Chapter 3 The softassign Procrustes matching algorithm
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   Chapter 4 Acoustic and elastic imaging to model disease-induced changes in soft tissue structure
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   Chapter 5 2D intravascular E.I.T. using a non-iterative, non-linear reconstruction algorithm
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   Chapter 6 Optimal data types in optical tomography
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   Chapter 7 Using spatial-temporal images for analysis of gated cardiac tomographic data: The “M-Mode” revisited
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   Chapter 8 Automated segmentation of brain exterior in MR images driven by empirical procedures and anatomical knowledge
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    Chapter 9 Automated 3D segmentation using deformable models and fuzzy affinity
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    Chapter 10 Segmentation of medical image objects using deformable shape loci
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    Chapter 11 Mapping the cerebral sulci: Application to morphological analysis of the cortex and to non-rigid registration
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    Chapter 12 Bayesian detection of random signals on random backgrounds
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    Chapter 13 Approximate distributions for Maximum Likelihood and maximum a posteriori estimates under a Gaussian noise model
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    Chapter 14 Continuous Gaussian mixture modeling
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    Chapter 15 New statistical models for randoms-precorrected PET scans
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    Chapter 16 Registration of 3D medical images using simple morphological tools
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    Chapter 17 Deformation for image guided interventions using a three component tissue model
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    Chapter 18 Registration of abdominal CT and SPECT images using Compton scatter data
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    Chapter 19 Definition of volume transformations for volume interaction
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    Chapter 20 Nonlinear versus linear models in functional neuroimaging: Learning curves and generalization crossover
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    Chapter 21 Synthetic resampling methods for variance estimation in parametric images
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    Chapter 22 Space-time statistical model for functional MRI image sequences
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    Chapter 23 Jackknifing a normal database for regional cerebral blood flow SPECT obtained using principal components
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    Chapter 24 Generating 3-D cardiac material markers using tagged MRI
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    Chapter 25 Identification of myocardial tags in tagged MR images without prior knowledge of myocardial contours
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    Chapter 26 An autofocus algorithm for the automatic correction of motion artifacts in MR images
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    Chapter 27 Measurement of global and regional cerebral volume changes by integrating boundary shifts between registered serial 3D MR scans
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    Chapter 28 Automatic detection of sulcal bottom lines in MR images of the human brain
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    Chapter 29 Segmentation and interpretation of MR brain images using an improved knowledge-based active shape model
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    Chapter 30 Gaussian random fields on sub-manifolds for characterizing brain surfaces
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    Chapter 31 Fuzzy logic approach to 3D magnetic resonance image segmentation
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    Chapter 32 Comparison of traditional brain segmentation tools with 3D self-organizing maps
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    Chapter 33 Finding the brain cortex using fuzzy segmentation, isosurfaces, and deformable surface models
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    Chapter 34 Statistical modelling of lines and structures in mammograms
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    Chapter 35 A thinning algorithm to extract medial lines from 3D medical images
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    Chapter 36 Setting the mind for intelligent interactive segmentation: Overview, requirements, and framework
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    Chapter 37 Segmentation of cerebral vessels and aneurysms from MR angiography data
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    Chapter 38 Computation of efficient patient specific models from 3-D medical images: Use in virtual endoscopy and surgery rehearsal
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    Chapter 39 In vivo analysis of trabecular bone architecture
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    Chapter 40 Automatic measurement of vertebral shape using Active Shape Models
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    Chapter 41 A hybrid approach for the detection of small airways disease from Computed Tomographic images
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    Chapter 42 Computer simulation of convection and diffusion effects on velocity estimations from X-ray contrast density time curves
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    Chapter 43 A comparison of retrospective intensity non-uniformity correction methods for MRI
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    Chapter 44 A robust and efficient algorithm for image registration
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    Chapter 45 Automatical adaption of the stereotactical coordinate system in brain MRI datasets
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    Chapter 46 Design of a statistical model of brain shape
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    Chapter 47 Automatic landmark identification using a new method of non-rigid correspondence
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    Chapter 48 Non-rigid curve correspondence for estimating heart motion
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    Chapter 49 Tracking of tagged MR images by Bayesian analysis of a network of quads
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    Chapter 50 Noninvasive skin imaging
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    Chapter 51 Modelling interreflections in a system based on the differential absorption of light (DAL) for the measurement of range images
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    Chapter 52 Quantitative estimation of scatterer spacing from backscattered ultrasound signals using the complex cepstrum
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    Chapter 53 Spatial compounding of 3-D ultrasound images
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    Chapter 54 Cone beam imaging of a section of a long object with a short detector
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    Chapter 55 New methods for SPECT imaging and pre-reconstruction restoration
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    Chapter 56 Reconstruction of the intracerebral vasculature from MRA and a pair of projection views
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    Chapter 57 Two alternative forced choice evaluation of vessel visibility increases due to zero-filled interpolation in MR angiography
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    Chapter 58 Bayesian detection with amplitude, scale, orientation and position uncertainty