From SlicerWiki
Jump to: navigation, search
Home < Documentation < Nightly < Extensions < SliceTracker

For the stable Slicer documentation, visit the 4.6 page.

Introduction and Acknowledgements

SliceTracker Logo 1.0 128x128.png

Extension: SliceTracker
Acknowledgments: This work is supported in part by the National Cancer Institute and the National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health through the following grants:

Contributors: Christian Herz (SPL), Peter Behringer (SPL), Andrey Fedorov (SPL)
Contact: Andrey Fedorov,

License: Slicer License

NOTE: SliceTracker documentation is located here:

Quantitative Image Informatics for Cancer Research  
Surgical Planning Laboratory (SPL)  
National Center for Image Guided Therapy (NCIGT)  

Extension Description

Slicetracker is a 3D Slicer extension for tracking prostate motion during MR-guided prostate biopsies. It implements registration of the pre-procedural to intra-procedural images, which aims to improve reliability of biopsy target re-identification.

Furthermore, a so called z-Frame registration module is included for correlating the patient and 3D Slicers coordinate system. For guidance of the needle a template grid with 15x14 holes is placed in front of the z-Frame. The optimal hole is computed for inserting the needle and obtaining the tissue sample.



[1] Fedorov A., Tuncali K., Fennessy FM., Tokuda J., Hata N., Wells WM., Kikinis R., Tempany CM. 2012. Image registration for targeted MRI-guided transperineal prostate biopsy. Journal of magnetic resonance imaging: JMRI 36:987–992. DOI: 10.1002/jmri.23688.

[2] Fedorov A., Tuncali K., Penzkofer T., Tokuda J., Song S-E., Hata N., Tempany C. 2013. Quantification of intra-procedural gland motion during transperineal MRI-guided prostate biopsy. In: Proc. of ISMRM’13.

[3] Tokuda J., Tuncali K., Iordachita I., Song S-EE., Fedorov A., Oguro S., Lasso A., Fennessy FM., Tempany CM., Hata N. 2012. In-bore setup and software for 3T MRI-guided transperineal prostate biopsy. Physics in medicine and biology 57:5823–5840. DOI: 10.1088/0031-9155/57/18/5823.

[4] Behringer P., Herz C., Penzkofer T., Tuncali K., Tempany C., Fedorov A. 2015. Open-­source Platform for Prostate Motion Tracking during in­-bore Targeted MRI­-guided Biopsy. In: MICCAI Workshop on Clinical Image-based Procedures: Translational Research in Medical Imaging. DOI: 10.1007/978-3-319-31808-0_15.


Information for Developers