Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions
International Workshop, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 22, 2011, Proceedings
Published on 25. September 2011
X, 160 pages
978-3-642-23944-1 (ISBN)
Description
This book constitutes the refereed proceedings of the International Workshop on Prostate Cancer Imaging, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 15 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 19 submissions. The papers cover the clinical areas of radiology, radiation oncology, and image guided intervention, addressing topics such as prostate segmentation, multi-modal prostate registration, and computer-aided diagnosis and classification of prostate cancer.
More details
Other editions
Additional editions
Anant Madabhushi | Jason Dowling | Henkjan Huisman
Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions
International Workshop, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 22, 2011, Proceedings
Book
09/2011
1st Edition
Springer
€53.49
Shipment within 7-9 days
Content
- Title
- Preface
- Organization
- Table of Contents
- A Learning Based Hierarchical Framework for Automatic Prostate Localization in CT Images
- Introduction
- Methodology
- Preprocessing
- Optimal Transformation Estimation for Training Set
- Combination of Inter-patient and Patient-Specific Information
- Feature Extraction and Training Sample Enrichment
- Feature Selection
- Image Similarity Function Learning
- Predict Optimal Transformation for New Treatment Images
- Experimental Results
- Conclusion
- References
- Fast Automatic Multi-atlas Segmentation of the Prostate from 3D MR Images
- Introduction
- Method
- Data
- Preprocessing
- Average Shape Atlas (AVE)
- Multi-atlas Decision Fusion
- Validation
- Results
- Discussion and Conclusion
- References
- A Morphological Atlas of Prostate's Zonal Anatomy for Construction of Realistic Digital and Physical Phantoms
- Introduction
- Atlas Construction
- Data
- Preprocessing
- Statistical Shape Modeling
- Results
- Applications of the Atlas
- Digital Phantom
- Physical Phantom
- Discussion and Conclusion
- References
- Multiple Mean Models of Statistical Shape and Probability Priors for Automatic Prostate Segmentation
- Introduction
- Proposed Segmentation Framework
- Bayesian Formulation
- Statistical Shape and Texture Model
- Optimization and Segmentation of a New Instance
- Multiple Mean Models
- Experimental Results
- Conclusion and Future Works
- References
- Facilitating 3D Spectroscopic Imaging through Automatic Prostate Localization in MR Images Using Random Walker Segmentation Initialized via Boosted Classifiers
- Introduction and Background
- Methods
- Multi-level GMM-EM Intensity Clustering
- Boosted Hierarchical Classifiers with Haar Features
- Random Walker Segmentation
- Saturation Band Computation for Chemical Shift Spectroscopy
- Results and Discussion
- Conclusion
- References
- Intrafraction Prostate Motion Correction Using a Non-rectilinear Image Frame
- Introduction
- Non-rectilinear Coordinate Frame
- Evaluation
- References
- Spatial Characterization and Classification of Rectal Bleeding in Prostate Cancer Radiotherapy with a Voxel-Based Principal Components Analysis Model for 3D Dose Distribution
- Introduction
- Materials and Methods
- Data
- Registration
- Voxel-Based Principal Component Analysis
- Feature Selection - Learning
- Validation
- Discussion and Conclusion
- References
- Dose Monitoring in Prostate Cancer Radiotherapy Using CBCT to CT Constrained Elastic Image Registration
- Introduction
- Methods
- Patient Data
- Nonparametric Elastic Registration Algorithm
- Prior Surface Matching
- Constrained Non-rigid Registration Algorithm (CNRR)
- Results
- Dice Scores and Normalized Mutual Information
- Localization of Registration Errors
- Dosimetric Impact of Registration Errors - Comparison between NRR and CNRR
- Conclusion and Discussion
- References
- Weighted Combination of Multi-Parametric MR Imaging Markers for Evaluating Radiation Therapy Related Changes in the Prostate
- Introduction
- System Overview and Data Description
- System Overview
- Notation
- Data Description
- Registration and Segmentation of Multi-Parametric MR Imagery
- Registration of Pre- and Post-treatment MR Imagery
- Automated Segmentation of Prostate Capsule on T2w MRI Data
- Weighted Combination of Imaging Marker Difference Maps for Identifying Treatment Related Changes Post-therapy
- Feature Extraction for Individual T2, MRS and DWI Protocols
- Generating a Combined Multi-Parametric Weighted Map
- Results and Discussion
- Experiment 1: Quantifying Changes in Individual Imaging Markers Post-RT
- Experiment 2: Quantifying Changes via Weighted Combination of MP-MRI
- Concluding Remarks
- References
- Required Accuracy of MR-US Registration for Prostate Biopsies
- Introduction
- Methods
- Patient Data
- Automatic Hotspot Detection and Segmentation
- Registration Accuracy
- Results
- Discussion
- References
- A PET/CT Directed, 3D Ultrasound-Guided Biopsy System for Prostate Cancer
- Introduction
- Multimodality Molecular Image-Guided Biopsy System
- Automatic Segmentation of 3D Prostate Ultrasound Images
- Nonrigid Registration of TRUS and CT Images
- Results
- Discussion and Conclusion
- References
- Improving Prostate Biopsy Protocol with a Computer Aided Detection Tool Based on Semi-supervised Learning
- Introduction
- Signal Acquisition and Processing
- System Overview
- Ground Truth Database
- The Learning Procedure
- SelfCo3Core
- Supervised Model Selection
- Semi-supervised Model Selection
- Experimental Results
- Step 1
- Step 2
- Conclusion
- References
- Fusion of MRI to 3D TRUS for Mechanically-Assisted Targeted Prostate Biopsy: System Design and Initial Clinical Experience
- Introduction
- Biopsy System Design
- Mechanical 3D TRUS System Design
- MRI-TRUS Biopsy Workflow
- MRI-3D TRUS Registration
- TRUS-TRUS Registration
- Patient Biopsy Study
- Results
- Conclusion and Future Work
- References
- Validation of Direct Registration of Whole-Mount Prostate Digital Histopathology to ex vivo MR Images
- Introduction
- Materials and Methods
- Materials
- Methods
- Validation
- Results
- Discussion and Conclusions
- References
- Variable Ranking with PCA: Finding Multiparametric MR Imaging Markers for Prostate Cancer Diagnosis and Grading
- Introduction
- Variable Importance in Projection for PCA
- Principal Component Analysis
- Variable Importance in PCA Projections
- Experimental Results and Discussion
- Identification of Imaging Markers for CaP Diagnosis
- Identifying Imaging Markers for CaP Grading
- Concluding Remarks
- References
- Author Index
