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Elastic image registration for guiding focal laser ablation of prostate cancer: Preliminary results

  • Nasr Makni
  • , Philippe Puech
  • , Pierre Colin
  • , Abdelrahmene Azzouzi
  • , Serge Mordon
  • , Nacim Betrouni*
  • *Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    15 Citations (Scopus)

    Abstract

    Purpose: To guide ultrasound-driven prostate photodynamic therapy using information from MRI-based treatment planning. Methods: Robust points matching (RPM) and thin plate splines (TPS) are used to solve correspondences and to map optimally positioned landmarks from MR images to transrectal ultrasound (TRUS) images. The algorithm uses a reduced number of anatomical markers that are initialized on the images. Results: Both phantom and patient data were used to evaluate precision and robustness of the method. Mean registration error (±standard deviation) was of 2.18. ±. 0.25. mm and 1.55. ±. 0.31. mm for patient prostate and urethra, respectively. Repeated tests with different markers initialization conditions showed that the quality of registration was neither influenced by the number of markers nor to the human observer. Conclusion: This method allows for satisfyingly accurate and robust non rigid registration of MRI and TRUS and provides practitioners with substantial help in mapping treatment planning from pre-operative MRI to interventional TRUS.

    Original languageEnglish
    Pages (from-to)213-223
    Number of pages11
    JournalComputer Methods and Programs in Biomedicine
    Volume108
    Issue number1
    DOIs
    Publication statusPublished - Oct 2012
    Publication typeA1 Journal article-refereed

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Image-guided interventions
    • Magnetic resonance imaging
    • Non rigid registration
    • PDT
    • Prostate cancer
    • Transrectal ultrasound imaging

    ASJC Scopus subject areas

    • Computer Science Applications
    • Software
    • Health Informatics

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