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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 / Hiroyuki Yoshida, Wenli Cai (eds.).

By: (2nd : International Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging (2nd : 2010 : Beijing, China)Contributor(s): Yoshida, Hiroyuki, 1947- | Cai, Wenli | International Conference on Medical Image Computing and Computer-Assisted Intervention (2010 : Beijing, China)Material type: TextTextSeries: Serienbezeichnung | Lecture notes in computer science ; 6668. | LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.Publication details: Berlin ; New York : Springer, ©2011. Description: 1 online resource (x, 140 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783642257193; 3642257194Other title: MICCAI 2010Subject(s): Colon (Anatomy) -- Tomography -- Congresses | Abdomen -- Tomography -- Congresses | Radiography | Diagnostic Techniques, Digestive System | Publication Formats | Tomography, X-Ray Computed | Radiographic Image Enhancement | Tomography, X-Ray | Diagnostic Techniques and Procedures | Image Interpretation, Computer-Assisted | Publication Characteristics | Diagnostic Imaging | Diagnosis | Image Enhancement | Analytical, Diagnostic and Therapeutic Techniques and Equipment | Photography | Colonography, Computed Tomographic | Congresses | Radiography, Abdominal | Informatique | Abdomen -- Tomography | Colon (Anatomy) -- Tomography | Computer science | Radiology, Medical | Computer vision | Computer graphics | Optical pattern recognition | Image Processing and Computer Vision | Pattern Recognition | User Interfaces and Human Computer Interaction | Computer Imaging, Vision, Pattern Recognition and Graphics | Imaging / RadiologyGenre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Printed edition:: No titleDDC classification: 616.07/5722 LOC classification: RC804.T65 | I58 2010Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: This book constitutes the thoroughly refereed post-conference proceedings of the International Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging, held in conjunction with MICCAI 2010, in Beijing, China, on September 20, 2010. The 19 revised full papers presented were carefully reviewed and selected from 26 submissions. The papers are organized in topical sections on CT colonography CAD, abdominal imaging, and virtual colonoscopy.
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Includes bibliographical references and author index.

This book constitutes the thoroughly refereed post-conference proceedings of the International Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging, held in conjunction with MICCAI 2010, in Beijing, China, on September 20, 2010. The 19 revised full papers presented were carefully reviewed and selected from 26 submissions. The papers are organized in topical sections on CT colonography CAD, abdominal imaging, and virtual colonoscopy.

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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