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Preface Acknowledgements Editors Contributors 1. History of Imaging for Prostate Cancer Sutchin R. Patel 2. Transrectal Ultrasound (TRUS)-Guided Prostate Biopsy: Historical Perspective and Contemporary Clinical Application Jennifer Fantasia, Dragan Golijanin, and Boris Gershman 3. Current Active Surveillance Protocol for Prostate Cancer Scott Greenberg and Jennifer Yates 4. Prostate MRI J. Pereira, Gyan Pareek, and D. Grand 5. Current Role and Evolution of MRI Fusion Biopsy for Prostate Cancer Danielle Velez, Joseph Brito, and Joseph Renzulli II 6. Current Role of Focal Therapy for Prostate Cancer H. Abraham Chiang and George E. Haleblian 7. High-Intensity Focused Ultrasound (HIFU) Rutveej Patel and Sammy Elsamra 8. Current Role of Cryotherapy in the Treatment of Prostate Cancer Adnan Dervishi and Murali K. Ankem 9. Transperineal Mapping of the Prostate for Biopsy Strategies Daniel Kaplon and Winston Barzell 10. Computer-Aided Diagnosis Systems for Prostate Cancer Detection: Challenges and Methodologies Guillaume Lemaître, Robert Martí, and Fabrice Meriaudeau 11. Early Diagnosis and Staging of Prostate Cancer Using Magnetic Resonance Imaging: State of the Art and Perspectives Ruba Alkadi, Fatma Taher, Ayman El-Baz, and Naoufel Werghi 12. A DCE-MRI-Based Noninvasive CAD System for Prostate Cancer Diagnosis F. Khalifa, A. Shalaby, Mohamed Abou El-Ghar, Jasjit S. Suri, and A. El-Baz 13. Prostate Segmentation from DW-MRI Using Level-Set Guided by Nonnegative Matrix Factorization Islam Reda, Patrick McClure, Ahmed Shalaby, Mohammed Elmogy, Ahmed Aboulfotouh, Mohamed Abou El-Ghar, Moumen El-Melegy, Jasjit S. Suri, and Ayman El-Baz 14. Automated Prostate Image Recognition and Segmentation Ke Yan, Xiuying Wang, Jinman Kim, Changyang Li, Dagan Feng, and Mohamed Khadra 15. Precision Imaging of Prostate Cancer: Computer-Aided Detection and Their Clinical Applications Baowei Fei 16. Computer-Aided Diagnosis of Prostate Magnetic Resonance Imaging: From Bench to Bedside Valentina Giannini, Simone Mazzetti, Filippo Russo, and Daniele Regge 17. Magnetic Resonance Imaging in the Detection of Prostate Cancer Timothy D. McClure, Daniel Margolis, and Peter N. Schlegel 18. Diagnosing Prostate Cancer Based on Deep Learning with a Stacked Nonnegativity Constraint Autoencoder Islam Reda, Ahmed Shalaby, Mohammed Elmogy, Ahmed Aboulfotouh, Mohamed Abou El-Ghar, Adel Elmagharaby, and Ayman El-Baz 19. MRI Imaging of Seminal Vesicle Invasion (SVI) in Prostate Adenocarcinoma Samuel A. Gold, Graham R. Hale, Kareem N. Rayn, Vladimir Valera, Jonathan B. Bloom, and Peter A. Pinto Index