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iGyne

iGyne. 3D Slicer extension for needle detection and labeling in MR-guided interstitial brachytherapy for gynecologic cancer. Funding Acknowledgement. P41 EB 015898 National Center for Image Guided Therapy (Jolesz, Tempany) 2005-2015 R03 EB 013792

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iGyne

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  1. iGyne 3D Slicer extension for needle detection and labeling in MR-guided interstitial brachytherapyfor gynecologic cancer

  2. FundingAcknowledgement P41 EB 015898 National Center for Image Guided Therapy (Jolesz, Tempany) 2005-2015 R03 EB 013792 Segmentation for Gynecologic Brachytherapy (Kapur) 2011-2013

  3. Investigators Radiology Computer Science MRI Physics Mechanical Design Radiation Oncology Radiation Physics

  4. Gynecologic Cancers • 500,000 cases per year worldwide: Cervical, Uterine, Vaginal, Vulvar, Ovarian • 4th leading cause of death in women in the US • Treated with chemo-radiation, brachytherapy

  5. The Problem: Which needle is which? ?

  6. iGyne Key Features • Software workflow that matches clinical workflow • (robust) DICOM transfer from MR • Model-to-model registration of applicator CAD model to image • Simulation of needle trajectories • Novel needle detection and labeling • Reformatting of MRI along needle trajectory

  7. Timeline: Concept to Extension 1 Year New Lines of Code Written for iGyne: 5000

  8. iGyne detects and labels needles from MR images

  9. Results: ~3mm Hausdorff distance Computation Time 50s for applicator registration ~1s per needle to segment

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