RealTITracker A toolbox for real-time 2D/3D optical flow based
medical image registration

Download

You can download the RealTITracker toolbox via the form bellow. The file README_RealTITracker.TXT included in the archive contains informations regarding the use of RealTITracker.

The author underlines that RealTITracker has been developped for academic purpose only. The authors disclaim any responsability for any potential damage caused by the RealTITracker toolbox.

The RealTItracker toolbox is a Matlab software based on C++ Mex-Functions compiled for Linux 64-bits and Windows 64-bits. Matlab scripts are provided. The Open Source POSIX threads library for Microsoft Windows was employed to cope with multi-CPU architectures on Windows platforms. The licence of POSIX threads library for Microsoft Windows is available Here.

For any comment, suggestion or question please go to the Contact page.

How to cite RealTITracker

If you use this software anywhere we would appreciate if you cite the following articles:

  • Zachiu C., Denis de Senneville B., Moonen C. T. W., Ries M., "A framework for the correction of slow physiological drifts during MR-guided HIFU therapies: Proof of concept", Medical Physics, 2015;42(7):4137-4148.

  • Zachiu C., Papadakis N., Ries M., Moonen C. T. W., Denis de Senneville B., "An improved optical flow tracking technique for real-time MR-guided beam therapies in moving organs", Physics in Medicine and Biology, 2015; In press.

    • Download form

    In order to keep track of the growing numbers of RealTITracker users, we ask you to fill in the following form:

    Other citations

    Some concepts in the field of Real-Time image-guided therapy were published in scientific journals using the RealTITracker toolbox. If you are using them, here you can find the appropiate citation:

    Real-Time image guidance conceptPublication
    2D HIFU tracking on an ex-vivo target
    • 2D motion estimation using optical flow

    • 2D motion compensation on thermal maps using estimated motion

    • 2D beam steering using estimated motion

    • 2D automatic feedback on mobile target

    		 Denis de Senneville B., Mougenot C., Moonen C. T. W., "Real time adaptive methods for treatment of mobile organs by MRI controlled High Intensity Focused Ultrasound", Magnetic Resonance in Medicine, 2007;57(2):319-330. [Link]
    3D motion estimation for radiotherapy planning using optical flow
    • 3D motion estimation using optical flow

    • 3D registration of CT images obtained during planning

    		 Noe K. O., Denis de Senneville B., Elstrom U. V., Tanderup K., Sorensen T. S., "Acceleration and validation of optical flow based deformable registration for image-guided radiotherapy", Acta Oncologica, 2008;47:1286-1293. [Link]
    2D correction of geometrical distortions on mobile targets
    • 2D motion estimation using optical flow

    • 2D dynamic update of geometrical correction maps

    		 Dragonu I., Denis de Senneville B., Quesson B., Moonen C. T. W., Ries M., Real-time Geometric Distortion Correction for Interventional Imaging with EPI, Magnetic Resonance in Medicine, 2008;61(4):994-1000. [Link]
    3D HIFU tracking on ex-vivo and in-vivo targets
    • 2D motion estimation using optical flow + 1D Navigator echo

    • Adaptive slice tracking

    • 2D motion compensation on thermal maps using estimated motion

    • 3D beam steering using estimated motion

    		 Ries M., Denis de Senneville B., Roujol S., Berber Y., Quesson B., Moonen C. T. W., "Real-Time 3D Target Tracking in MRI guided Focused Ultrasound Ablations in moving Tissues", Magnetic Resonance in Medicine, 2010;64(6):1704-12. [Link]
    3D HIFU tracking on an in-vivo target
    • 2D motion estimation using optical flow + 1D Spatially selective navigator echo

    • Adaptive slice tracking

    • 2D motion compensation on thermal maps using estimated motion

    • 3D beam steering using estimated motion

    		 Kohler M., Denis de Senneville B., Quesson B., Moonen C. T. W., Ries M., "Spectrally selective pencil-beam navigator for motion compensation of MR-guided high-intensity focused ultrasound therapy of abdominal organs", Magnetic Resonance in Medicine, 2011;66(1):102-111. [Link]
    Combined MRI-Echography guidance on an ex-vivo target
    • 2D motion estimation using optical flow on MRI + 1D Ultrasound echo

    • 2D motion compensation on thermal maps using estimated motion

    • 1D beam steering using combined MRI-Echography informations

    		 Lourenco de Oliveira P., Denis de Senneville B., Dragonu I., Moonen C. T. W., "Rapid motion correction in MR guided High Intensity Focused Ultrasound heating using real-time ultrasound echo information", Nuclear Magnetic Resonance in Biomedicine, 2010;23(9):1103-1108. [Link]
    2D motion caracterisation and compensation on abdmoninal organs
    • 2D motion estimation using optical flow on MRI

    • Real-time description of estimated motion using a PCA

    • 2D beam steering using the estimated motion

    		 Denis de Senneville B., Ries M., Maclair G., Moonen C. T. W., "MR-guided thermotherapy of abdominal organs using a robust PCA-based motion descriptor", IEEE Transaction on Medical Imaging, 2011;30(11):1987-1995. [Link]
    3D motion correction during cardiac RF ablation on an in-vivo targets
    • 2D motion estimation using optical flow + 1D navigator echo

    • Adaptive slice tracking

    • 2D motion compensation on thermal maps using estimated motion

    		 Denis de Senneville B., Roujol S., Jais P., Moonen C. T. W., Herigault G., Quesson B., "Feasibility of fast MR-thermometry during cardiac RF ablation", Nuclear Magnetic Resonance in Biomedicine, 2011;25(4):556-562. [Link]
    2D motion compensation of MR-thermometry
    • 2D motion estimation using optical flow

    • 2D motion compensation on thermal maps using estimated motion using Referenceless and Multi-baseline Approaches

    		 Denis de Senneville B., Roujol S., Moonen C. T. W., Ries M., "Motion Correction in MR Thermometry of Abdominal Organs : A Comparison of the Referenceless vs the Multi-baseline Approach", Magnetic Resonance in Medicine, 2010;64(5):1373-1381. [Link]
    High framerate 2D motion compensation of MR-thermometry/Dosimetry
    • 2D motion estimation using optical flow

    • Fast MR-aquisition scheme

    • Temporal filtering to convert the temporal resolution into an improved Signal-To-Noise ratio

    		 Roujol S., Ries M., Quesson B., Moonen C. T. W., Denis de Senneville B., "Real-time MR-Thermometry and Dosimetry for interventional guidance on abdominal organs", Magnetic Resonance in Medicine, 2010;63(4):1080-1087. [Link]
    Automatic calibration of the optical flow algorithm
    • 2D motion estimation using optical flow

    • Automatic calibration of the optical flow using a new criterion based on the physical relation between the magnetic field variation and the observed motion

    		 Roujol S., Ries M., Moonen C. T. W., Denis de Senneville B., "Automatic Non-Rigid Calibration of Image Registration for Real Time Interventional MRI of mobile organs", IEEE Transaction on Medical Imaging, 2011;30(10):1737-45. [Link]
    3D motion estimation for radiotherapy dosimetry using low resolution MRI
    • On-line 3D motion estimation using optical flow

    • 3D respiratory gated low resolution MR-images

    		 Glitzner M., Denis de Senneville B., Lagendijk J., Raaymakers B., Crijns S., On-line 3D motion estimation using low resolution MRI, Physics in Medicine and Biology, 2015;60(16). [Link]
    3D motion estimation for radiotherapy dosimetry using optical flow
    • On-line 3D motion estimation using optical flow

    • 3D respiratory gated MR-images

    • Retrospective 3D dosimetry

    		 Glitzner M., Crijns S., Denis de Senneville B., Kontaxis C., Prins F., Lagendijk J., Raaymakers B., On-line MR imaging for dose validation of abdominal radiotherapy, Physics in Medicine and Biology, 2015; In press. [Link]
    Correction of slow physiological drifts during MR-guided HIFU therapies
    • 3D motion estimation using optical flow

    • Adaptive HIFU planning

    		 Zachiu C., Denis de Senneville B., Moonen C. T. W., Ries M., A framework for the correction of slow physiological drifts during MR-guided HIFU therapies: Proof of concept, Medical Physics, 2015;42(7):4137-4148. [Link]
    Improvement of optical flow motion estimation using a L1 data fidelity constraint
    • On-line 2D motion estimation using optical flow

    • Fast MR-imaging

    		 Zachiu C., Papadakis N., Ries M., Moonen C. T. W., Denis de Senneville B., An improved optical flow tracking technique for real-time MR-guided beam therapies in moving organs, Physics in Medicine and Biology, 2015; In press. [Link]