This will be a comprehensive overview of the latest research, technologies and innovations in minimally invasive imaging of the prostate gland and prostate cancer imaging. A major focus will be 3D image segmentation along with computer-aided-diagnosis techniques for prostate cancer.
This book covers novel strategies and state of the art approaches for automated non-invasive systems for early prostate cancer diagnosis. Prostate cancer is the most frequently diagnosed malignancy after skin cancer and the second leading cause of cancer related male deaths in the USA after lung cancer. However, early detection of prostate cancer increases chances of patients survival. Generally, The CAD systems analyze the prostate images in three steps: (i) prostate segmentation; (ii) Prostate description or feature extraction; and (iii) classification of the prostate status.
Explores all of the latest research and developments in state-of-the art imaging of the prostate from world class experts.Contains a comprehensive overview of 2D/3D Shape Modeling for MRI data.Presents a detailed examination of automated segmentation of the prostate in 3D imaging.Examines Computer-Aided-Diagnosis through automated techniques.There will be extensive references at the end of each chapter to enhance further study.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 Lemaītre, Robert Martķ, 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
Ayman El-Baz is a Professor, University Scholar, and Chair of the Bioengineering Department at the University of Louisville, Kentucky. Dr. El-Baz earned his bachelors and masters degrees in Electrical Engineering in 1997 and 2001, respectively. He earned his doctoral degree in electrical engineering from the University of Louisville in 2006. In 2009, Dr. El-Baz was named a Coulter Fellow for his contributions to the field of biomedical translational research. Dr. El-Baz has 15 years of hands-on experience in the fields of bio-imaging modeling and noninvasive computer-assisted diagnosis systems. He has authored or coauthored more than 450 technical articles (105 journals, 15 books, 50 book chapters, 175 refereed-conference papers, 100 abstracts, and 15 US patents).
Gyan Pareek is the Director of Minimally Invasive Urologic Surgery, and Assistant Professor of Surgery (Urology) at the Alpert Medical School of Brown University. Dr. Pareek has been a full-time faculty member since completing his Minimally Invasive and Endourology fellowship at the University of Wisconsin in 2005. Dr. Pareek is the director of the Brown medical student urology course (URO-415). He is particularly passionate about resident teaching and is actively involved with the residents as a clinical and research mentor through the Brown Medical Student Mentoring Program. Dr. Pareek is a member of the urology staff at Rhode Island Hospital, Miriam Hospital, Providence VA Medical Center, and Memorial Hospital of Rhode Island.
Jasjit S. Suri is an innovator, scientist, visionary, industrialist, and internationally known world leader in biomedical engineering. Dr. Suri has spent over 24 years in the field of biomedical engineering/devices and its management. He received his doctorate from the University of Washington, Seattle, and in business management sciences from Weatherhead, Case Western Reserve University, Cleveland, Ohio. Dr. Suri was awarded the Presidents Gold medal in 1980 and the Fellow of American Institute of Medical and Biological Engineering for his outstanding contributions.
