Documentation/Nightly/Extensions/Igyne

Introduction and Acknowledgements

Author: Xiaojun Chen
Contributors: Xiaojun Chen,Jan Egger,Tina Kapur,Akila N. Viswanathan(BWH), Steve Pieper(Isomics)
Contact: Xiaojun Chen, <email>xiaojun@bwh.harvard.edu</email>
Website: https://github.com/xjchen/igyne
License: Slicer license

Extension Description

Igyne is an open source software for MR-Guided Interstitial Gynecologic Brachytherapy. It enables on-time processing of the intra-operative MRI data via a DICOM connection to the scanner followed by a multi-stage registration of CAD models of the template and the obturator to the patient images. This allows the virtual placement of interstitial needles during the intervention to assist the physician positioning decision.Software features include:

• Loading of Applicator CAD models and MR images
• Initial registration of CAD model of the Template to MR images
• Registration Refinement
• Visualization of Registration
• Needle Selection and Display of Virtual Needles relative to Applicator CAD models and Tumor Segmentation

Use Cases

Sample data to use with modules.

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  DICOM-RT Structure Set

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  DICOM-RT Dose

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  Before Registration

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  After Registration

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  Before Registration

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  After Registration

Tutorials

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  Download tutorial

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  Download tutorial data

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  Download tutorial (PDF)

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  (Download tutorial data)

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  Download tutorial

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  Download tutorial data

Similar Extensions

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References

• G Sharp, N Kandasamy, H Singh, M Folkert, "GPU-based streaming architectures for fast cone-beam CT image reconstruction and demons deformable registration," Physics in Medicine and Biology, 52(19), pp 5771-83, 2007.
• V Boldea, G Sharp, SB Jiang, D Sarrut, "4D-CT lung motion estimation with deformable registration: Quantification of motion nonlinearity and hysteresis," Medical Physics, 33(3), pp 1008-18, 2008.
• Z Wu, E Rietzel, V Boldea, D Sarrut, G Sharp, "Evaluation of deformable registration of patient lung 4DCT with sub-anatomical region segmentations," Medical Physics, 35(2), pp 775-81, 2008.
• G Sharp et al. "Plastimatch - An open source software suite for radiotherapy image processing," Proceedings of the XVIth International Conference on the use of Computers in Radiotherapy, May, 2010.
• N. Shusharina, G. Sharp "Landmark-based image registration with analytic regularization", IEEE Trans. Med. Imag., submitted, 2011.