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Zukić, Dženan: An efficient inflation method for segmentation of medical 3D imagesEine effiziente Inflationsmethode zur Segmentierung von medizinischen 3D Bildern. 2015
Inhalt
Abstract
Zusammenfassung
Contents
Introduction
Problem Statement
Coarse System Overview
Contribution
Structure of Thesis
Technical Foundation
Principle of Operation of MRI Scanner
Spatial Encoding
A Pulse Sequence
Image Reconstruction
Properties and Artifacts of MRI Data
Segmentation Approaches
Measuring Precision
Low-High Values
Viola-Jones Object Detector
Medical Background for Brain Tumors
Related Work for Tumors in MRI
Motivation for Spine Segmentation
Spine Related Work
Computed Tomography
Magnetic Resonance Imaging
Fine-Grained System Overview
Segmentation of Brain Tumors
Outline Initialization
Constraint-Enforcing Inflation
Glioma Movability Rule
Adenoma Movability Rule
Results
Glioma
Adenoma
Conclusion
Basic Segmentation of Vertebral Bodies
Overview
Initialization
Segmenting the Vertebral Body
Inflating the Mesh
Degenerate Vertex Distribution
Convergence Check
Constrained Subdivision Hierarchy
Finding Neighboring Vertebrae
Pose Estimation Using Face-Merging
Estimation of the Position of the Second Vertebral Body
Estimating Positions of Other Vertebral Bodies
Segmentation Correctness Measure
Conclusion
Robust Soft-Boundary Segmentation
Spine Segmentation System
Multi-Feature Boundary Classification
Soft-Boundary Inflation
Conclusion
Initialized Parallelized Segmentation
Overview
Initial Vertebra Detection
Viola-Jones Detector
Detection Filtering
Manual Correction and Labeling
Segmentation of Vertebral Bodies
Inflating the Mesh
Constrained Subdivision Hierarchy
Diagnosis
Scoliosis
Spondylolisthesis
Vertebral Fracture
Parameter Optimization
Conclusion
Spine Segmentation Results
Test Setup
Data
Vertebra Detection Accuracy
Segmentation Accuracy
Diagnosis Accuracy
Conclusion
Bibliography