Lung Imaging and Computer Aided Diagnosis

Ayman El-Baz, Jasjit S. Suri

• Publisher: CRC Press
• Year: 2016
• eBook ISBN: 9781040199343
• Edition: 0
• Topic: Medicine
• Subtopic: Clinical Medicine

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Table of contents

• Cover
• Halftitle Page
• Title Page
• Copyright Page
• Table of Contents
• Editors
• Contributors
• 1 A Novel Three-Dimensional Framework for Automatic Lung Segmentation from Low-Dose Computed Tomography Images
• 2 Incremental Engineering of Lung Segmentation Systems
• 3 3D MGRF-Based Appearance Modeling for Robust Segmentation of Pulmonary Nodules in 3D LDCT Chest Images
• 4 Ground-Glass Nodule Characterization in High-Resolution Computed Tomography Scans
• 5 Four-Dimensional Computed Tomography Lung Registration Methods
• 6 Pulmonary Kinematics via Registration of Serial Lung Images
• 7 Acquisition and Automated Analysis of Normal and Pathological Lungs in Small Animals Using Microcomputed Tomography
• 8 Airway Segmentation and Analysis from Computed Tomography
• 9 Pulmonary Vessel Segmentation for Multislice CT Data: Methods and Applications
• 10 A Novel Level Set-Based Computer-Aided Detection System for Automatic Detection of Lung Nodules in Low-Dose Chest Computed Tomography Scans
• 11 Model-Based Methods for Detection of Pulmonary Nodules
• 12 Concept and Practice of Genetic Algorithm Template Matching and Higher Order Local Autocorrelation Schemes in Automated Detection of Lung Nodules
• 13 Computer-Aided Detection of Lung Nodules in Chest Radiographs and Thoracic CT
• 14 Lung Nodule and Tumor Detection and Segmentation
• 15 Texture Classification in Pulmonary CT
• 16 Computer-Aided Assessment and Stenting of Tracheal Stenosis
• 17 Appearance Analysis for the Early Assessment of Detected Lung Nodules
• 18 Validation of a New Image-Based Approach for the Accurate Estimating of the Growth Rate of Detected Lung Nodules Using Real Computed Tomography Images and Elastic Phantoms Generated by State-of-the-Art Microfluidics Technology
• 19 Three-Dimensional Shape Analysis Using Spherical Harmonics for Early Assessment of Detected Lung Nodules
• 20 Review on Computer-Aided Detection, Diagnosis, and Characterization of Pulmonary Nodules: A Clinical Perspective