Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions

Chapter 1 A Learning based Hierarchical Framework for Automatic Prostate Localization in CT Images.

Chapter 2 Fast Automatic Multi-atlas Segmentation of the Prostate from 3D MR Images

Chapter 3 A Morphological Atlas of Prostate’s Zonal Anatomy for Construction of Realistic Digital and Physical Phantoms

Chapter 4 Multiple Mean Models of Statistical Shape and Probability Priors for Automatic Prostate Segmentation

Chapter 5 Facilitating 3D Spectroscopic Imaging through Automatic Prostate Localization in MR Images Using Random Walker Segmentation Initialized via Boosted Classifiers

Chapter 7 Spatial Characterization and Classification of Rectal Bleeding in Prostate Cancer Radiotherapy with a Voxel-Based Principal Components Analysis Model for 3D Dose Distribution

Chapter 8 Dose Monitoring in Prostate Cancer Radiotherapy Using CBCT to CT Constrained Elastic Image Registration

Chapter 9 Weighted Combination of Multi-Parametric MR Imaging Markers for Evaluating Radiation Therapy Related Changes in the Prostate

Chapter 10 Required Accuracy of MR-US Registration for Prostate Biopsies

Chapter 11 A PET/CT Directed, 3D Ultrasound-Guided Biopsy System for Prostate Cancer

Chapter 12 Improving Prostate Biopsy Protocol with a Computer Aided Detection Tool Based on Semi-supervised Learning

Chapter 13 Fusion of MRI to 3D TRUS for Mechanically-Assisted Targeted Prostate Biopsy: System Design and Initial Clinical Experience

Chapter 14 Validation of Direct Registration of Whole-Mount Prostate Digital Histopathology to ex vivo MR Images

Chapter 15 Variable Ranking with PCA: Finding Multiparametric MR Imaging Markers for Prostate Cancer Diagnosis and Grading