Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions

1. Front Matter

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2. A Learning Based Hierarchical Framework for Automatic Prostate Localization in CT Images

   • Shu Liao, Dinggang Shen

   Pages 1-9

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

   • Jason A. Dowling, Jurgen Fripp, Shekhar Chandra, Josien P W. Pluim, Jonathan Lambert, Joel Parker et al.

   Pages 10-21

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

   • N. Makni, A. Iancu, P. Puech, S. Mordon, N. Betrouni

   Pages 22-34

5. Multiple Mean Models of Statistical Shape and Probability Priors for Automatic Prostate Segmentation

   • Soumya Ghose, Arnau Oliver, Robert Martí, Xavier Lladó, Jordi Freixenet, Jhimli Mitra et al.

   Pages 35-46

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

   • Parmeshwar Khurd, Leo Grady, Kalpitkumar Gajera, Mamadou Diallo, Peter Gall, Martin Requardt et al.

   Pages 47-56

7. Intrafraction Prostate Motion Correction Using a Non-rectilinear Image Frame

   • Rupert Brooks

   Pages 57-59

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

   • Baiyang Chen, Oscar Acosta, Amar Kachenoura, Juan David Ospina, Gaël Dréan, Antoine Simon et al.

   Pages 60-69

9. Dose Monitoring in Prostate Cancer Radiotherapy Using CBCT to CT Constrained Elastic Image Registration

   • Guillaume Cazoulat, Antoine Simon, Oscar Acosta, Juan David Ospina, Khemara Gnep, Romain Viard et al.

   Pages 70-79

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

    • Pallavi Tiwari, Satish Viswanath, John Kurhanewicz, Anant Madabhushi

    Pages 80-91

11. Required Accuracy of MR-US Registration for Prostate Biopsies

    • Wendy J. M. van de Ven, Geert J. S. Litjens, Jelle O. Barentsz, Thomas Hambrock, Henkjan J. Huisman

    Pages 92-99

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

    • Baowei Fei, Viraj Master, Peter Nieh, Hamed Akbari, Xiaofeng Yang, Aaron Fenster et al.

    Pages 100-108

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

    • Francesca Galluzzo, Nicola Testoni, Luca De Marchi, Nicolò Speciale, Guido Masetti

    Pages 109-120

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

    • Derek W. Cool, Jeff Bax, Cesare Romagnoli, Aaron D. Ward, Lori Gardi, Vaishali Karnik et al.

    Pages 121-133

15. Validation of Direct Registration of Whole-Mount Prostate Digital Histopathology to ex vivo MR Images

    • Eli Gibson, Cathie Crukley, José Gomez, Madeleine Moussa, Joseph L. Chin, Glenn Bauman et al.

    Pages 134-145

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

    • Shoshana Ginsburg, Pallavi Tiwari, John Kurhanewicz, Anant Madabhushi

    Pages 146-157

17. Back Matter

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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.

• bayesian framework
• image-guided biopsy
• molecular imaging
• radiotherapy
• ultrasound images

• Rutgers University, Piscataway, USA

  Anant Madabhushi

• CSIRO Australian e-Health Research Centre, Herston, Australia

  Jason Dowling

• Diagnostic Image Analysis Group, Nijmegen, The Netherlands

  Henkjan Huisman

• University College London, London, UK

  Dean Barratt

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