Information processing in medical imaging : 16th International Conference, IPMI'99, Visegrád, Hungary, June 28-July 2, 1999 ; proceedings
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書誌事項
Information processing in medical imaging : 16th International Conference, IPMI'99, Visegrád, Hungary, June 28-July 2, 1999 ; proceedings
（Lecture notes in computer science, 1613）
Springer, c1999
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Includes bibliographical references and indexes
内容説明・目次
内容説明
The 1999 international conference on Information Processing in Medical Imaging (IPMI '99) was the sixteenth in the series of biennial meetings and followed the successful meeting in Poultney, Vermont, in 1997. This year, for the rst time, the conference was held in central Europe, in the historical Hungarian town of Visegr ad, one of the most beautiful spots not only on the Danube Bend but in all Hungary. The place has many historical connections, both national and international. The castle was once a royal palace of King Matthias. In the middle ages, the Hungarian, Czech, and Polish kings met here. Recently, after the summit meeting of reestablished democracies in the area, it became a symbol for the cooperation between central European countries as they approached the European Union. It was thus also symbolic to bring IPMI, in the year of the 30th anniversary of its foundation, to this place, and organize the meeting with the close cooperation of local and traditional western organizers. It also provided a good opportunity to summarize brie?y a history of IPMI for those who were new to the IPMI conference. This year we received 82 full paper submissions from all over the world. Of these, 24 were accepted as oral presentations. These were divided into 6 sessions. In spite of our e orts, it was found to be impossible to make these sessions fully balanced and homogeneous.
目次
New Imaging Techniques.- Analytical Study of Bioelasticity Ultrasound Systems.- MEG Source Imaging Using Multipolar Expansions.- Binary Tomography for Triplane Cardiography.- Real Time 3D Brain Shift Compensation.- 3D Ultrasound and PET.- Computer Assisted Human Follicle Analysis for Fertility Prospects with 3D Ultrasound.- Volume Measurement in Sequential Freehand 3-D Ultrasound.- Automated Identification and Measurement of Objects via Populations of Medial Primitives, with Application to Real Time 3D Echocardiography.- Continuous Time Dynamic PET Imaging Using List Mode Data.- Segmentation.- Hybrid Geometric Active Models for Shape Recovery in Medical Images.- Co-dimension 2 Geodesic Active Contours for MRA Segmentation.- An Adaptive Fuzzy Segmentation Algorithm for Three-Dimensional Magnetic Resonance Images.- Automatic Detection and Segmentation of Evolving Processes in 3D Medical Images: Application to Multiple Sclerosis.- Image Analysis of the Brain Cortex.- Registration of Cortical Anatomical Structures via Robust 3D Point Matching.- Hierarchical Matching of Cortical Features for Deformable Brain Image Registration.- Using Local Geometry to Build 3D Sulcal Models.- ANIMAL+INSECT: Improved Cortical Structure Segmentation.- Registration.- Consistent Linear-Elastic Transformations for Image Matching.- Non-linear Registration with the Variable Viscosity Fluid Algorithm.- Approximating Thin-Plate Splines for Elastic Registration: Integration of Landmark Errors and Orientation Attributes.- A Hierarchical Feature Based Deformation Model Applied to 4D Cardiac SPECT Data.- Feature Detection and Modelling.- Local Orientation Distribution as a Function of Spatial Scale for Detection of Masses in Mammograms.- Physiologically Oriented Models of the Hemodynamic Response in Functional MRI.- 3D Graph Description of the Intracerebral Vasculature from Segmented MRA and Tests of Accuracy by Comparison with X-ray Angiograms.- A Unified Framework for Atlas Matching Using Active Appearance Models.- Poster Session I.- An Integral Method for the Analysis of Wall Motion in Gated Myocardial SPECT Studies.- Enhanced Artery Visualization in Blood Pool MRA: Results in the Peripheral Vasculature.- Four-Dimensional LV Tissue Tracking from Tagged MRI with a 4D B-Spline Model.- Recovery of Soft Tissue Object Deformation from 3D Image Sequences Using Biomechanical Models.- Forward Deformation of PET Volumes Using Non-uniform Elastic Material Constraints.- Brain Morphometry by Distance Measurement in a Non-Euclidean, Curvilinear Space.- Learning Shape Models from Examples Using Automatic Shape Clustering and Procrustes Analysis.- A Framework for Automated Landmark Generation for Automated 3D Statistical Model Construction.- Statistical Shape Analysis Using Fixed Topology Skeletons: Corpus Callosum Study.- Model Generation from Multiple Volumes Using Constrained Elastic SurfaceNets.- An Intelligent Interactive Segmentation Method for the Joint Space in Osteoarthritic Ankles.- Anatomical Modeling with Fuzzy Implicit Surfaces: Application to Automated Localization of the Heart and Lungs in Thoracic MR Images.- Detection of the Central Mass of Spiculated Lesions - Signature Normalisation and Model Data Aspects.- Noise Estimation and Measures for Detection of Clustered Microcalcifications.- Poster Session II.- Measuring the Spatial Homogeneity in Corneal Endotheliums by Means of a Randomization Test.- The Assessment of Chronic Liver Diseases by Sonography.- Automatic Computation of Brain and Cerebellum Volumes in Normal Subjects and Chronic Alcoholics.- Reconstruction from Slow Rotation Dynamic SPECT Using a Factor Model.- Spectral Factor Analysis for Multi-isotope Imaging in Nuclear Medicine.- Structural Group Analysis of Functional Maps.- Incorporating an Image Distortion Model in Non-rigid Alignment of EPI with Conventional MRI.- The Distribution of Target Registration Error in Rigid-Body, Point-Based Registration.- A Fast Mutual Information Method for Multi-modal Registration.- Voxel Similarity Measures for 3D Serial MR Brain Image Registration.- Radial Basis Function Interpolation for Freehand 3D Ultrasound.- Nonlinear Smoothing of MR Images Using Approximate Entropy - A Local Measure of Signal Intensity Irregularity.- New Variants of a Method of MRI Scale Normalization.- Method for Estimating the Intensity Mapping between MRI Images.
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