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Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions

International Workshop, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 22, 2011, Proceedings

  • Conference proceedings
  • © 2011

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Editors:
  1. Anant Madabhushi

    1. Rutgers University, Piscataway, USA

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  2. Jason Dowling

    1. CSIRO Australian e-Health Research Centre, Herston, Australia

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  3. Henkjan Huisman

    1. Diagnostic Image Analysis Group, Nijmegen, The Netherlands

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  4. Dean Barratt

    1. University College London, London, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6963)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

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Conference proceedings info: Prostate Cancer Imaging 2011.

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Table of contents (15 papers)

  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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  1. Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions

Keywords

About this book

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.

Editors and Affiliations

  • 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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