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Information Processing in Medical Imaging

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Cover of '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
Attention for Chapter 29: Segmentation and interpretation of MR brain images using an improved knowledge-based active shape model
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Chapter title
Segmentation and interpretation of MR brain images using an improved knowledge-based active shape model
Chapter number 29
Book title
Information Processing in Medical Imaging
Published by
Springer, Berlin, Heidelberg, June 1997
DOI 10.1007/3-540-63046-5_29
Book ISBNs
978-3-54-063046-3, 978-3-54-069070-2
Authors

Nicolae Duta, Milan Sonka, Duta, Nicolae, Sonka, Milan

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Professor > Associate Professor 4 15%
Student > Master 4 15%
Student > Postgraduate 3 12%
Student > Ph. D. Student 3 12%
Other 1 4%
Unknown 6 23%
Readers by discipline Count As %
Engineering 7 27%
Computer Science 5 19%
Agricultural and Biological Sciences 3 12%
Immunology and Microbiology 1 4%
Medicine and Dentistry 1 4%
Other 1 4%
Unknown 8 31%