Del i serien Lecture Notes in Computer Science

Abdominal Imaging -Computational and Clinical Applications

International Workshop, CCAAI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Proceedings

Häftad, Engelska, 2012

AvHiroyuki Yoshida,David Hawkes,Michael Vannier

729 kr

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This book constitutes the refereed proceedings of the International Workshop CCAAI 2012, held in Nice, France, in October 2012. All of the accepted papers were revised by incorporating of the reviewers’ comments and re-submitted by the authors to be included in this proceedings volume.

Produktinformation

Utgivningsdatum2012-08-28
Mått155 x 235 x 18 mm
Vikt487 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor304
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783642336119

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Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method.- External Clinical Validation of Prone and Supine CT Colonography Registration.- Efficient Topological Cleaning for Visual Colon Surface Flattening.- Adaptive Volumetric Detection of Lesions for Minimal-Preparation Dual-Energy CT Colonography.- Computer-Aided Detection for Ultra-Low-Dose CT Colonography.- Application of CT Simulation Technique for Virtual Ultra-Low-Dose Trial in CT Colonography.- Application of CT Simulation Technique for Virtual Fecal Tagging in CTC.- Application of CT Acquisition Parameters as Features in Computer-Aided Detection for CT Colonography.- Comparative Performance of State-of-the-Art Classifiers in Computer-Aided Detection for CT Colonography.- Piecewise Structural Diffusion Defined on Shape Index for Noise Reduction in Dual-Energy CT Images.- A Supervised Learning Based Approach to Detect Crohn’s Disease in Abdominal MR Volumes.- Out-of-Plane Motion Compensation in Cine-MRI.- Real-Time Phase Boundary Detection for Colonoscopy Videos Using Motion Vector Templates.- Relaxed Conditional Statistical Shape Models and Their Application to Non-contrast Liver Segmentation.- A Landmark-Based Primal-Dual Approach for Discontinuity Preserving Registration.- Predicting Liver Motion Using Exemplar Models.- Semi-automatic Discrimination of Normal Tissue and Liver Cancer Lesions in Contrast Enhanced X-Ray CT-Scans.- Evaluation of Diffusion Filters for 3D CTA Liver Vessel Enhancement.- 3D Shape Analysis for Liver-Gallbladder Anatomical Structure Retrieval.- Tumor Sensitive Matching Flow: An Approach for Ovarian Cancer Metastasis Detection and Segmentation.- Fast Segmentation of Abdominal Wall: Application to Sliding Effect Removal for Non-rigid Registration.- A Fully Automated Framework for Renal Cortex Segmentation.- An Implicit Inter-subject Shape Driven Image Deformation Model for Prostate Motion Estimation.- Segmentation of the Cartilage in theRib Cage in 3D MRI.- Method for Detecting Enlarged Lymph Nodes from 3D Abdominal CT Images with a Multi-shape and Multi-scale Ellipsoidal Structure Detection Filter.- Delineation of Liver Tumors from CT Scans Using Spectral Clustering with Out-of-Sample Extension and Multi-windowing.- Evaluation of Medical Image Registration by Using 3D SIFT and Phase-Only Correlation.- Optimal Medial Surface Generation for Anatomical Volume Representations.- Registration of Free-Breathing Abdominal 3D Contrast-Enhanced CT.- Non-newtonian Blood Flow Analysis for the Portal Vein Based on a CT Image.- Tracer Kinetic Modeling by Morales-Smith Hypothesis in Hepatic Perfusion CT.