Virtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities

Name: Virtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities | Second International Workshop, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010, Revised Selected Papers
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Second International Workshop, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010, Revised Selected Papers

Hiroyuki Yoshida Wenli Cai(Herausgeber*in)

Springer (Verlag)

Erschienen am 8. Dezember 2011

X, 141 Seiten

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978-3-642-25719-3 (ISBN)

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Inhalt

Intro
Title
Preface
Organization
Table of Contents
CT Colonography CAD
Electronic Cleansing in CT Colonography: Past, Present, and Future
Introduction
Fecal-Tagging CTC
Early Work of EC
Current Status of EC
Future Challenges of EC
Conclusion
References
Improved Curvature Estimation for Shape Analysis in Computer-Aided Detection of Colonic Polyps
Purpose
Methods
Kernel Methods for Principal Curvature Estimation
Knutsson Mapping Method
Results
Conclusion
References
Characterizing Colonic Detections in CT Colonography Using Curvature-Based Feature Descriptor and Bag-of-Words Model
Introduction
Methods
Curvature-Based Feature Descriptor
Bag-of-Words (BoW) Model
Content-Based Image Retrieval (CBIR)
Experiments and Results
Phantom Experiments
CTC Experiments
Discussion and Conclusion
References
Haustral Fold Segmentation of CT Colonography Using Ridge Line Detection
Purpose
Methods
Colon Surface Extraction
Ridge Line Detection
Fold Segmentation
Results
Conclusion
References
Recent Advances in Reduction of False Positives in Computerized Detection of Polyps in CT Colonography
Introduction
Classes of FP Reduction Techniques
Feature-Based Classifiers
Pixel-Based Machine Learning (PML)
Non-machine-Learning-Based Methods
Reduction of Specific Type of FP
FP Reduction with MTANNs
CTC Database
Evaluation
Conclusion
References
A Bayesian Approach for False Positive Reduction in CTC CAD
Introduction
Method
Modeling the Likelihood Term
Experimental Results and Discussion
Conclusion
References
False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography: A Massive-Training Support Vector Regression Approach
Introduction
Massive-Training Support Vector Regression (MTSVR)
Architecture and Training of MTSVR
Support Vector Regression (SVR)
CTC Database and Evaluation
Results
Conclusion
References
Learning to Detect 3D Rectal Tubes in CT Colonography Using a Global Shape Model
Introduction
Method
Overview
Probabilistic Models for 2D Candidate Detection of RT Regions
RT Path Estimation Using a Global Shape Model
Results
Discussion and Conclusion
References
Abdominal Imaging
Estimation of Necrosis Volumes in Focal Liver Lesions Based on Multi-phase Hepatic CT Images
Introduction
Methods
Registration
Blood-Flow Estimation
Segmentation
Results
Conclusion
References
Detection of the Invasion of Bladder Tumor into Adjacent Wall Based on Textural Features Extracted from MRI Images
Introduction
Materials and Method
Subjects and MRI Datasets
Overview of the Detection Scheme
Selection of Textural Features
Extraction of Textural Features
Training and Evaluation of the SVM Classifier
Tissue Labeling for the Detection of Invasion Depth
Results
Conclusions
References
Detecting Bladder Abnormalities Based on Inter-layer Intensity Curve for Virtual Cystoscopy
Introduction
Methods
Bladder Wall Segmentation
Bladder Wall Layer Generation
ILIC Generation
Result and Discussion
Conclusion
References
Computer-Assisted Diagnosis for Quantitative Image-Based Analysis of Crohn's Disease in CT Enterography
Introduction
Method
Clinical CT Enterography Cases
CADx Scheme
Evaluation Methodology
Results
Conclusion
References
Computer-Aided Detection of Small Bowel Strictures for Emergency Radiology in CT Enterography
Introduction
Method
CAD Scheme
Clinical CT Enterography Cases
Results
Image Analysis by an Experienced Radiologist without CAD
Image Analysis by an Inexperienced Radiologist Assisted by CAD
Comparison of Readers' Results with and without CAD
Conclusion
References
Virtual Colonoscopy
Teniae Coli Extraction in Human Colon for Computed Tomographic Colonography Images
Introduction
Colon Unfolding
Teniae Coli Extraction for CT Colonography Images
Gabor Filter for Fold Feature Extraction
Identifying Center of Haustral Folds by Use of Thresholding
Extraction of Teniae Coli
Experimental Results
Conclusion and Future Work
References
Extraction of Landmarks and Features from Virtual Colon Models
Introduction
Extraction of Anatomic Landmarks
Detection of Features
Conclusion
References
Conformal Geometry Based Supine and Prone Colon Registration
Introduction
Algorithm Overview
Conformal Mapping
Registration by Harmonic Map
Experimental Results
Conclusion
References
Colon Visualization Using Shape Preserving Flattening
Introduction
Generating 2D Views
Integration for 3D Navigation
Conclusion
References
Synchronized Display of Virtual Colonoscopic Views in Supine and Prone CT Images
Introduction
Synchronized Supine-Prone Views
Overview
Supine-Prone Correspondence Finding
Viewpoint Synchronization
Calculation of Viewing-Direction and Up-Direction
Experiments
Duscussion
Conclusion
References
Colorectal Polyp Segmentation Based on Geodesic Active Contours with a Shape-Prior Model
Introduction
Method
Overview
Construction of the Shape-Prior Model
Polyp Segmentation
Experiments and Results
Discussion and Conclusions
References
Author Index

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