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Information Processing in Medical Imaging

Overview of attention for book
Cover of 'Information Processing in Medical Imaging'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Analytical Study of Bioelasticity Ultrasound Systems
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    Chapter 2 MEG Source Imaging Using Multipolar Expansions
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    Chapter 3 Binary Tomography for Triplane Cardiography
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    Chapter 4 Real Time 3D Brain Shift Compensation
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    Chapter 5 Computer Assisted Human Follicle Analysis for Fertility Prospects with 3D Ultrasound
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    Chapter 6 Volume Measurement in Sequential Freehand 3-D Ultrasound
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    Chapter 7 Automated Identification and Measurement of Objects via Populations of Medial Primitives, with Application to Real Time 3D Echocardiography
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    Chapter 8 Continuous Time Dynamic PET Imaging Using List Mode Data
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    Chapter 9 Hybrid Geometric Active Models for Shape Recovery in Medical Images
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    Chapter 10 Co-dimension 2 Geodesic Active Contours for MRA Segmentation
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    Chapter 11 An Adaptive Fuzzy Segmentation Algorithm for Three-Dimensional Magnetic Resonance Images
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    Chapter 12 Automatic Detection and Segmentation of Evolving Processes in 3D Medical Images: Application to Multiple Sclerosis
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    Chapter 13 Registration of Cortical Anatomical Structures via Robust 3D Point Matching
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    Chapter 14 Hierarchical Matching of Cortical Features for Deformable Brain Image Registration
  16. Altmetric Badge
    Chapter 15 Using Local Geometry to Build 3D Sulcal Models
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    Chapter 16 ANIMAL+INSECT: Improved Cortical Structure Segmentation
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    Chapter 17 Consistent Linear-Elastic Transformations for Image Matching
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    Chapter 18 Non-linear Registration with the Variable Viscosity Fluid Algorithm
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    Chapter 19 Approximating Thin-Plate Splines for Elastic Registration: Integration of Landmark Errors and Orientation Attributes
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    Chapter 20 A Hierarchical Feature Based Deformation Model Applied to 4D Cardiac SPECT Data
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    Chapter 21 Local Orientation Distribution as a Function of Spatial Scale for Detection of Masses in Mammograms
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    Chapter 22 Physiologically Oriented Models of the Hemodynamic Response in Functional MRI
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    Chapter 23 3D Graph Description of the Intracerebral Vasculature from Segmented MRA and Tests of Accuracy by Comparison with X-ray Angiograms
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    Chapter 24 A Unified Framework for Atlas Matching Using Active Appearance Models
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    Chapter 25 An Integral Method for the Analysis of Wall Motion in Gated Myocardial SPECT Studies
  27. Altmetric Badge
    Chapter 26 Enhanced Artery Visualization in Blood Pool MRA: Results in the Peripheral Vasculature
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    Chapter 27 Four-Dimensional LV Tissue Tracking from Tagged MRI with a 4D B-Spline Model
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    Chapter 28 Recovery of Soft Tissue Object Deformation from 3D Image Sequences Using Biomechanical Models
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    Chapter 29 Forward Deformation of PET Volumes Using Non-uniform Elastic Material Constraints
  31. Altmetric Badge
    Chapter 30 Brain Morphometry by Distance Measurement in a Non-Euclidean, Curvilinear Space
  32. Altmetric Badge
    Chapter 31 Learning Shape Models from Examples Using Automatic Shape Clustering and Procrustes Analysis
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    Chapter 32 A Framework for Automated Landmark Generation for Automated 3D Statistical Model Construction
  34. Altmetric Badge
    Chapter 33 Statistical Shape Analysis Using Fixed Topology Skeletons: Corpus Callosum Study
  35. Altmetric Badge
    Chapter 34 Model Generation from Multiple Volumes Using Constrained Elastic SurfaceNets
  36. Altmetric Badge
    Chapter 35 An Intelligent Interactive Segmentation Method for the Joint Space in Osteoarthritic Ankles
  37. Altmetric Badge
    Chapter 36 Anatomical Modeling with Fuzzy Implicit Surfaces: Application to Automated Localization of the Heart and Lungs in Thoracic MR Images
  38. Altmetric Badge
    Chapter 37 Detection of the Central Mass of Spiculated Lesions — Signature Normalisation and Model Data Aspects
  39. Altmetric Badge
    Chapter 38 Noise Estimation and Measures for Detection of Clustered Microcalcifications
  40. Altmetric Badge
    Chapter 39 Measuring the Spatial Homogeneity in Corneal Endotheliums by Means of a Randomization Test
  41. Altmetric Badge
    Chapter 40 The Assessment of Chronic Liver Diseases by Sonography
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    Chapter 41 Automatic Computation of Brain and Cerebellum Volumes in Normal Subjects and Chronic Alcoholics
  43. Altmetric Badge
    Chapter 42 Reconstruction from Slow Rotation Dynamic SPECT Using a Factor Model
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    Chapter 43 Spectral Factor Analysis for Multi-isotope Imaging in Nuclear Medicine
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    Chapter 44 Structural Group Analysis of Functional Maps
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    Chapter 45 Incorporating an Image Distortion Model in Non-rigid Alignment of EPI with Conventional MRI
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    Chapter 46 The Distribution of Target Registration Error in Rigid-Body, Point-Based Registration
  48. Altmetric Badge
    Chapter 47 A Fast Mutual Information Method for Multi-modal Registration
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    Chapter 48 Voxel Similarity Measures for 3D Serial MR Brain Image Registration
  50. Altmetric Badge
    Chapter 49 Radial Basis Function Interpolation for Freehand 3D Ultrasound
  51. Altmetric Badge
    Chapter 50 Nonlinear Smoothing of MR Images Using Approximate Entropy — A Local Measure of Signal Intensity Irregularity
  52. Altmetric Badge
    Chapter 51 New Variants of a Method of MRI Scale Normalization
  53. Altmetric Badge
    Chapter 52 Method for Estimating the Intensity Mapping between MRI Images
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

patent
3 patents
wikipedia
1 Wikipedia page

Readers on

mendeley
19 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Information Processing in Medical Imaging
Published by
Lecture notes in computer science, June 1999
DOI 10.1007/3-540-48714-x
ISBNs
978-3-54-048714-2, 978-3-54-066167-2
Editors

Attila Kuba, Martin Samal, Andrew Todd-Pokropek

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Ireland 1 5%
Unknown 17 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 53%
Student > Master 4 21%
Researcher 3 16%
Professor 1 5%
Student > Doctoral Student 1 5%
Other 0 0%
Readers by discipline Count As %
Engineering 9 47%
Agricultural and Biological Sciences 2 11%
Computer Science 1 5%
Mathematics 1 5%
Earth and Planetary Sciences 1 5%
Other 2 11%
Unknown 3 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 June 2018.
All research outputs
#1,321,364
of 11,689,928 outputs
Outputs from Lecture notes in computer science
#523
of 7,172 outputs
Outputs of similar age
#49,076
of 265,122 outputs
Outputs of similar age from Lecture notes in computer science
#8
of 110 outputs
Altmetric has tracked 11,689,928 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,172 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 265,122 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.