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Medical Image Computing and Computer-Assisted Intervention - MICCAI'99: Second International Conference, Cambridge, UK, September 19-22, 1999, Proceedings

Overview

Abnormal white matter of the brain is common to patients with one of s- eral difierent diseases (including multiple sclerosis (MS) and Alzheimer’s d- ease (AD)) and also appears in normal (asymptomatic) aging (NA) subjects. Better characterization of the nature of these white matter changes can help to improve our understanding of the biological processes at work. Clinically, it is interesting to be able to difierentiate between difierent disease states and to—nd markerswhich allowearlydiagnosis.Conventionalspin ...

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Overview

Abnormal white matter of the brain is common to patients with one of s- eral difierent diseases (including multiple sclerosis (MS) and Alzheimer’s d- ease (AD)) and also appears in normal (asymptomatic) aging (NA) subjects. Better characterization of the nature of these white matter changes can help to improve our understanding of the biological processes at work. Clinically, it is interesting to be able to difierentiate between difierent disease states and to—nd markerswhich allowearlydiagnosis.Conventionalspin echo magnetic resonance imaging is sensitive to these white matter changes. MRI studies of patients and volunteershaveindicatedthatthepatternsofbrainchangeassociatedwiththese processes are difierent. An important goal is to be able to quantitatively study these differences. Many automated and semi-automated segmentation algorithms for quan- tatively assessing these brain changes have been developed and validated. Most of these algorithms have aimed at determining a binary characterization of each voxelas one of a groupof possible tissue classes.This approachhas been limited bytwofactors.First,abnormalwhitematter isoftenisointensewithnormalgrey matter and previous studies have been limited by the inability to discriminate between some abnormal white matter and normal grey matter [1,2]. Secondly, white matter damage appears as an heterogenous region of abnormal signal - tensity but binarization of the segmentation treats all levels of signal intensity abnormality equally.

The book contains predominantly black-and-white illustrations, with some color illustrations.

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Editorial Reviews

Doody's Review Service
Reviewer: William R. Hendee, PhD (Medical College of Wisconsin)
Description: This is the proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention, which includes 133 state-of-the-art papers that were presented at the conference.
Purpose: The purpose of the conference and proceedings is to provide a single focus for the presentation of research in the emerging interdisciplinary area of medical imaging and computer-assisted intervention. This is a very important purpose that is achieved well in the publication.
Audience: The papers in these proceedings will be of great interest to researchers working in the multidisciplinary areas directly or closely related to the focus of the conference. The papers are highly technical and will be of little interest to others, except perhaps to physicists and engineers responsible for implementing sophisticated image-guided interventional programs in clinical environments.
Features: Papers in the proceedings encompass ten areas: data-driven segmentation, image processing and feature detection, surfaces and shape, measurement and interpretation, spatial-temporal and diffusion tensor analysis, registration and fusion, visualization, image-guided intervention, robotic systems, and biomechanics and simulation. The papers are written by individuals who are well established as researchers in their respective fields.
Assessment: This book is required reading for researchers working in the fields of medical image computing and computer-assisted intervention. It will be of some interest to physicists and engineers responsible for implementing such programs in clinical settings. It will have little interest to persons outside these groups.
William R. Hendee
This is the proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention, which includes 133 state-of-the-art papers that were presented at the conference. The purpose of the conference and proceedings is to provide a single focus for the presentation of research in the emerging interdisciplinary area of medical imaging and computer-assisted intervention. This is a very important purpose that is achieved well in the publication. The papers in these proceedings will be of great interest to researchers working in the multidisciplinary areas directly or closely related to the focus of the conference. The papers are highly technical and will be of little interest to others, except perhaps to physicists and engineers responsible for implementing sophisticated image-guided interventional programs in clinical environments. Papers in the proceedings encompass ten areas: data-driven segmentation, image processing and feature detection, surfaces and shape, measurement and interpretation, spatial-temporal and diffusion tensor analysis, registration and fusion, visualization, image-guided intervention, robotic systems, and biomechanics and simulation. The papers are written by individuals who are well established as researchers in their respective fields. This book is required reading for researchers working in the fields of medical image computing and computer-assisted intervention. It will be of some interest to physicists and engineers responsible for implementing such programs in clinical settings. It will have little interest to persons outside these groups.

4 Stars! from Doody
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Product Details

Table of Contents

Data-Driven Segmentation.- Segmentation of Meningiomas and Low Grade Gliomas in MRI.- Automated Segmentation of MS Lesions from Multi-channel MR Images.- Measurement of Infarct Volume in Stroke Patients Using Adaptive Segmentation of Diffusion Weighted MR Images.- Quantitative Modelling of Microcalcification Detection in Digital Mammography.- Interactive Direct Volume Rendering of Dural Arteriovenous Fistulae in MR-CISS Data.- Segmentation of White Matter Lesions from Volumetric MR Images.- Fractional Segmentation of White Matter.- A Modified Fuzzy C-Means Algorithm for MRI Bias Field Estimation and Adaptive Segmentation.- Statistical 3D Vessel Segmentation Using a Rician Distribution.- Retinal Blood Vessel Segmentation by Means of Scale-Space Analysis and Region Growing.- Liver Blood Vessels Extraction by a 3-D Topological Approach.- Segmentation Using Structural Models.- Tamed Snake: A Particle System for Robust Semi-automatic Segmentation.- Interactive Medical Image Segmentation with United Snakes.- Active Shape Model-Based Segmentation of Digital X-ray Images.- Nonrigid 3-D/2-D Registration of Images Using Statistical Models.- A New Approach to 3D Sulcal Ribbon Finding from MR Images.- Automated Segmentation of Sulcal Regions.- Cylindrical Echocardiographic Image Segmentation Based on 3D Deformable Models.- Active Model Based Carotid Ultrasonic Data Segmentation.- Automatic Segmentation of Lung Fields in Chest Radiographs.- Automatic Reconstruction of 3D Geometry Using Projections and a Geometric Prior Model.- 3D Image Matching Using a Finite Element Based Elastic Deformation Model.- Image Processing and Feature Detection.- Quantitative Comparison of Sinc-Approximating Kernels for Medical Image Interpolation.- A Post-processing Technique to Suppress Fluid Signal and Increase Contrast in Multispectral MR Exams of MS Patients.- De-noisingh int Surfaces: A Physics-Based Approach.- ERS Transform for the Detection of Bronchi on CT of the Lungs.- Detection of Pulmonary Nodules on CT and Volumetric Assessment of Change over Time.- Improving the Detection Performance in Semi-automatic Landmark Extraction.- Automatic Classification of Linear Structures in Mammographic Images.- Surfaces and Shape.- Conformal Geometry and Brain Flattening.- Quasi-Conformally Flat Mapping the Human Cerebellum.- Rendering the Unfolded Cerebral Cortex.- Tessellated Surface Reconstruction from 2D Contours.- Accurate Robust Symmetry Estimation.- Global Shape from Shading for an Endoscope Image.- Measurement and Interpretation.- The Measurement of Focal Diurnal Variation in the Femoral Articular Cartilage of the Knee.- Three-Dimensional Reconstruction and Quantification of Hip Joint Cartilages from Magnetic Resonance Images.- Quantification of Cerebral Grey and White Matter Asymmetry from MRI.- Quantitation of Vessel Morphology from 3D MRA.- A Patient-Specific Computer Model for Prediction of Clinical Outcomes in the Cerebral Circulation Using MR Flow Measurements.- Exploratory Factor Analysis in Morphometry.- Potential Usefulness of Curvature Based Description for Differential Diagnosis of Pulmonary Nodules.- Pulmonary Organs Analysis Method and Its Evaluation Based on Thoracic Thin-Section CT Images.- An Automatic Approach for 3-D Facial Shape Change Analysis by Combination of ASM and Morphometric Tools.- Spatiotemporal and Diffusion Tensor Analysis.- Segmentation of Echocardiographic Image Sequences Using Spatio-temporal Information.- 3D Cardiac Deformation from Ultrasound Images.- Directional Representations of 4D Echocardiography for Temporal Quantification of LV Volume.- Image Processing for Diffusion Tensor Magnetic Resonance Imaging.- Inferring the Brain Connectivity from MR Diffusion Tensor Data.- Strategies for Data Reorientation during Non-rigid Warps of Diffusion Tensor Images.- Analysis of Functional MRI Data Using Mutual Information.- Statistical Segmentation of fMRI Activations Using Contextual Clustering.- Using Sulcal Basins for Analyzing Functional Activations Patterns in the Human Brain.- Comparison of Land-Mark-Based and Curve-Based Thin-Plate Warps for Analysis of Left-Ventricular Motion from Tagged MRI.- Contour Tracking in Echocardiographic Sequences without Learning Stage: Application to the 3D Reconstruction of the Beating Left Ventricule.- Segmentation of Echocardiographic Data. Multiresolution 2D and 3D Algorithm Based on Grey Level Statistics.- Registration and Fusion.- Locating Motion Artifacts in Parametric fMRI Analysis.- Non-rigid Registration by Geometry-Constrained Diffusion.- Wavelet Compression of Active Appearance Models.- Towards a Better Comprehension of Similarity Measures Used in Medical Image Registration.- Entropy-Based, Multiple-Portal-to-3DCT Registration for Prostate Radiotherapy Using Iteratively Estimated Segmentation.- Registration of Video Images to Tomographic Images by Optimising Mutual Information Using Texture Mapping.- Brain Atlas Deformation in the Presence of Large Space-occupying Tumors.- Understanding the “Demon’s Algorithm”: 3D Non-rigid Registration by Gradient Descent.- Multi-variate Mutual Information for Registration.- Automatic Identification of a Particular Vertebra in the Spinal Column Using Surface-Based Registration.- 3-D Deformable Registration of Medical Images Using a Statistical Atlas.- Probabilistic Brain Atlas Construction: Thin-Plate Spline Warping via Maximization of Mutual Information.- Out-of-Plane Non-linear Warping of a Slice into Volume.- Tree Representation and Implicit Tree Matching for a Coarse to Fine Image Matching Algorithm.- Gray-Value Based Registration of CT and MR Images by Maximization of Local Correlation.- Fully Automatic 3D/2D Subtracted Angiography Registration.- Multi-modal Medical Volumes Fusion by Surface Matching.- Medical Image Registration with Robust Multigrid Techniques.- Camera-Augmented Mobile C-arm (CAMC) Application: 3D Reconstruction Using a Low-Cost Mobile C-arm.- Image Analysis of Nailfold Capillary Patterns from Video Sequences.- Visualisation.- Modeling Spectral Changes to Visualize Embedded Volume Structures for Medical Image Data.- Non-planar Reslicing for Freehand 3D Ultrasound.- The Perception of Transparency in Medical Images.- Localisation of Subdural EEG Electrode Bundles in an Interactive Volume Rendering Framework.- System of Modeling and Visualization of Domain of the Heart Excitation.- A 3D Puzzle for Learning Anatomy.- Image-Guided Intervention.- 3D Functional Database of Subcortical Structures for Surgical Guidance in Image Guided Stereotactic Neurosurgery.- Automated Registration of Ultrasound with CT Images: Application to Computer Assisted Prostate Radiotherapy and Orthopedics.- A Robust 3-D Reconstruction System for Human Jaw Modeling.- Level-Set Surface Segmentation and Fast Cortical Range Image Tracking for Computing Intrasurgical Deformations.- A Single Image Registration Method for CT Guided Interventions.- An Integrated Visualization System for Surgical Planning and Guidance Using Image Fusion and Interventional Imaging.- Exploiting 2-D to 3-D Intra-operative Image Registration for Qualitative Evaluations and Post-operative Simulations.- LOCALITE – A Frameless Neuronavigation System for Interventional Magnetic Resonance Imaging Systems.- Design and Evaluation of a System for Microscope-Assisted Guided Interventions (MAGI).- Percutaneous Posterior Stabilization of the Spine.- Image-Based Planning and Validation of C1-C2 Transarticular Screw Fixation Using Personalized Drill Guides.- POP: Preoperative Planning and Simulation Software for Total Hip Replacement Surgery.- CupAlign: Computer-Assisted Postoperative Radiographic Measurement of Acetabular Components Following Total Hip Arthroplasty.- Computer-Aided Implant Dentistry.- Surface Registration for Use in Interactive Image-Guided Liver Surgery.- Model-Updated Image-Guided Neurosurgery Using the Finite Element Method: Incorporation of the Falx Cerebri.- Assessment of Intraoperative Brain Deformation Using Interventional MR Imaging.- Ultrasound Probe Tracking for Real-Time Ultrasound/MRI Overlay and Visualization of Brain Shift.- A Volumetric Optical Flow Method for Measurement of Brain Deformation from Intraoperative Magnetic Resonance Images.- Spotlights: A Robust Method for Surface-Based Registration in Orthopedic Surgery.- Automated Registration and Fusion of Functional and Anatomical MRI for Navigated Neurosurgery.- AcouStick: A Tracked A-Mode Ultrasonography System for Registration in Image-Guided Surgery.- Synthetic Image Modalities Generated from Matched CT and MRI Data: A New Approach for Using MRI in Brachytherapy.- 3D Interventional Imaging with 2D X-Ray Detectors.- Reconstruction of 3D Catheter Paths from 2D X-ray Projections.- Automatic Extraction of Implanted Electrode Grids.- The Potential Use of an Autostereoscopic 3D Display in Microsurgery.- Robotic Systems.- A Progressive Cut Refinement Scheme for Revision Total Hip Replacement Surgery Using C-arm Fluoroscopy.- MR Compatibility of Mechatronic Devices: Design Criteria.- A Steady-Hand Robotic System for Microsurgical Augmentation.- Optimising Operation Process for Computer Integrated Prostatectomy.- A Passive Positioning and Supporting Device for Surgical Robots and Instrumentation.- Robot-Assisted Diagnostic Ultrasound – Design and Feasibility Experiments.- Accuracy and Repeatability of Joint Centre Location in Computer-Assisted Knee Surgery.- Microscale Tracking of Surgical Instrument Motion.- On the Feasibility of a Moving Support for Surgery on the Beating Heart.- A Testbed System for Robotically Assisted Percutaneous Pattern Therapy.- Performance of Robotic Augmentation in Microsurgery-Scale Motions.- Intra-operative Application of a Robotic Knee Surgery System.- Image-Based Control of Interactive Robotics Systems.- Biomechanics and Simulation.- Extracting Features from Tactile Maps.- Finite Element Model of a Fetal Skull Subjected to Labour Forces.- Modeling the Dynamics of a Human Liver for a Minimally Invasive Surgery Simulator.- EyeSi – A Simulator for Intra-ocular Surgery.- The Mesh-matching Algorithm: A New Automatic 3D Mesh Generator for Finite Element Analysis.- Optimization Approaches for Soft-Tissue Prediction in Craniofacial Surgery Simulation.- Modeling the Dynamics of the Human Thigh for a Realistic Echographic Simulator with Force Feedback.- Visualization for Planning and Simulation of Minimally Invasive Neurosurgical Procedures.- A Simulation Environment for Maxillofacial Surgery Including Soft Tissue Implications.- Surgical Forces and Tactile Perception During Retinal Microsurgery.- A Novel Technique for Simulating Transcranial Doppler Examinations In Vitro.

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