Information Processing in Medical Imaging : 17th International Conference, IPMI 2001, Davis, CA, USA, June 18-22, 2001. Proceedings / edited by Michael F. Insana, Richard M. Leahy.

Format:

Book

Contributor:

Insana, Michael F., editor.

Leahy, Richard M., editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science 0302-9743 ; 2082.

Lecture Notes in Computer Science, 0302-9743 ; 2082

Language:

English

Subjects (All):

Internal medicine.

Optical data processing.

Pattern perception.

Artificial intelligence.

Medical informatics.

Radiology.

Internal Medicine.

Image Processing and Computer Vision.

Pattern Recognition.

Artificial Intelligence.

Health Informatics.

Imaging / Radiology.

Local Subjects:

Internal Medicine.

Image Processing and Computer Vision.

Pattern Recognition.

Artificial Intelligence.

Health Informatics.

Imaging / Radiology.

Physical Description:

1 online resource (XVI, 544 pages).

Edition:

First edition 2001.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the 17th International Conference on Information Processing in Medical Imaging, IPMI 2001, held in Davis, CA, USA, in June 2001. The 54 revised papers presented were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on objective assessment of image quality, shape modeling, molecular and diffusion tensor imaging, registration and structural analysis, functional image analysis, fMRI/EEG/MEG, deformable registration, shape analysis, and analysis of brain structure.

Contents:

Objective Assessment of Image Quality

On the Difficulty of Detecting Tumors in Mammograms

Objective Comparison of Quantitative Imaging Modalities Without the Use of a Gold Standard

Theory for Estimating Human-Observer Templates in Two-Alternative Forced-Choice Experiments

Shape Modeling

The Active Elastic Model

A Minimum Description Length Approach to Statistical Shape Modelling

Multi-scale 3-D Deformable Model Segmentation Based on Medial Description

Automatic 3D ASM Construction via Atlas-Based Landmarking and Volumetric Elastic Registration

Molecular and Diffusion Tensor Imaging

A Regularization Scheme for Diffusion Tensor Magnetic Resonance Images

Distributed Anatomical Brain Connectivity Derived from Diffusion Tensor Imaging

Study of Connectivity in the Brain Using the Full Diffusion Tensor from MRI

Poster Session I: Registration and Structural Analysis

Incorporating Image Processing in a Clinical Decision support system

Automated Estimation of Brain Volume in Multiple Sclerosis with BICCR

Automatic Image Registration for MR and Ultrasound Cardiac Images

Estimating Sparse Deformation Fields Using Multiscale Bayesian Priors and 3-D Ultrasound

Automatic Registration of Mammograms Based on Linear Structures

Tracking Brain Deformations in Time-Sequences of 3D US Images

Robust Multimodal Image Registration Using Local Frequency Representations

Steps Toward a Stereo-Camera-Guided Biomechanical Model for Brain Shift Compensation

Poster Session I: Functional Image analysis

Spatiotemporal Analysis of Functional Images Using the Fixed Effect Model

Spatio-Temporal Covariance Model for Medical Images Sequences: Application to Functional MRI Data

Microvascular Dynamics in the Nailfolds of Scleroderma Patients Studied Using Na-Fluorescein dye

Time Curve Analysis Techniques for Dynamic Contrast MRI Studies

Detecting Functionally Coherent Networks in fMRI Data of the Human Brain Using Replicator Dynamics

Smoothness Prior Information in Principal Component Analysis of Dynamic Image Data

Estimation of Baseline Drifts in fMRI

Analyzing the Neocortical Fine-Structure

fMRI/EEG/MEG

Motion Correction Algorithms of the Brain Mapping Community Create Spurious Functional Activations

Estimability of Spatio-Temporal Activation in fMRI

A New Approach to the MEG/EEG Inverse Problem for the Recovery of Cortical Phase-Synchrony

Neural Field Dynamics on the Folded Three-Dimensional Cortical Sheet and Its Forward EEG and MEG

Depormable Registration

A Unified Feature Registration Method for Brain Mapping

Cooperation between Local and Global Approaches to Register Brain Images

Landmark and Intensity-Based, Consistent Thin-Plate Spline Image Registration

Validation of Non-rigid Registration Using Finite Element Methods

Poster Session II:Shape Analysis

A Linear Time Algorithm for Computing the Euclidean Distance Transform in Arbitrary Dimensions

An Elliptic Operator for Constructing Conformal Metrics in Geometric Deformable Models

Using a Linear Diagnostic Function and Non-rigid Registration to Search for Morphological Differences Between Populations: An Example Involving the Male and Female Corpus Callosum

Shape Constrained Deformable Models for 3D Medical Image Segmentation

Stenosis Detection Using a New Shape Space for Second Order 3D-Variations

Graph-Based Topology Correction for Brain Cortex Segmentation

Intuitive, Localized Analysis of Shape Variability

A Sequential 3D Thinning Algorithm and Its Medical Applications

Poster Session II: Functional Image Analysis

An Adaptive Level Set Method for Medical Image Segmentation

Partial Volume Segmentation of Cerebral MRI Scans with Mixture Model Clustering

Nonlinear Edge Preserving Smoothing and Segmentation of 4-D Medical Images via Scale-Space Fingerprint Analysis

Spatio-Temporal Segmentation of Active Multiple Sclerosis Lesions in Serial MRI Data

Time-Continuous Segmentation of Cardiac Image Sequences Using Active Appearance Motion Models

Feature Enhancement in Low Quality Images with Application to Echocardiography

3D Vascular Segmentation Using MRA Statistics and Velocity Field Information in PC-MRA

Markov Random Field Models for Segmentation of PET Images

Analysis of Brain Structure

Statistical Study on Cortical Sulci of Human Brains

Detecting Sisease-Specific Patterns of Brain Structure Using Cortical Pattern Matching and a Population-Based Probabilistic Brain Atlas

Medial Models Incorporating Object Variability for 3D Shape Analysis

Deformation Analysis for Shape Based Classification.

Other Format:

Printed edition:

ISBN:

978-3-540-45729-9

9783540457299

Access Restriction:

Restricted for use by site license.