LEADER 09637nam 22008535 450 001 996466260003316 005 20200706135100.0 010 $a3-642-25719-4 024 7 $a10.1007/978-3-642-25719-3 035 $a(CKB)3390000000021465 035 $a(SSID)ssj0000595634 035 $a(PQKBManifestationID)11422388 035 $a(PQKBTitleCode)TC0000595634 035 $a(PQKBWorkID)10558802 035 $a(PQKB)11032874 035 $a(DE-He213)978-3-642-25719-3 035 $a(MiAaPQ)EBC6280882 035 $a(MiAaPQ)EBC5590642 035 $a(Au-PeEL)EBL5590642 035 $a(OCoLC)1066197612 035 $a(PPN)15750638X 035 $a(EXLCZ)993390000000021465 100 $a20111207d2011 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aVirtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities$b[electronic resource] $eSecond International Workshop, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010, Revised Selected Papers /$fedited by Hiroyuki Yoshida, Wenli Cai 205 $a1st ed. 2011. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2011. 215 $a1 online resource (X, 141 p.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v6668 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-25718-6 320 $aIncludes bibliographical references and index. 327 $aIntro -- 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. 327 $aMassive-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. 327 $aImage 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. 330 $aThis book constitutes the thoroughly refereed post-conference proceedings of the International Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging, held in conjunction with MICCAI 2010, in Beijing, China, on September 20, 2010. The 19 revised full papers presented were carefully reviewed and selected from 26 submissions. The papers are organized in topical sections on CT colonography CAD, abdominal imaging, and virtual colonoscopy. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v6668 606 $aOptical data processing 606 $aPattern recognition 606 $aUser interfaces (Computer systems) 606 $aComputer graphics 606 $aRadiology 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 606 $aImaging / Radiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H29005 615 0$aOptical data processing. 615 0$aPattern recognition. 615 0$aUser interfaces (Computer systems). 615 0$aComputer graphics. 615 0$aRadiology. 615 14$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aComputer Graphics. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aImaging / Radiology. 676 $a616.3407545 702 $aYoshida$b Hiroyuki$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCai$b Wenli$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aInternational Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466260003316 996 $aVirtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities$92831430 997 $aUNISA