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These deformation fields were obtained through two different approaches (parametric and non-parametric) and freely downloadable.

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Between two phases of the 4D CT series we estimated the breathing motion, resulting in vector fields that maps voxels from one phase to homologous voxels of the other phase. In addition we provide a modified, preprocessed version of this 4D image that was used by us for further processing (images were cropped to their bounding box and background was removed). You will find on this site the original dicom images of a 4D CT series, made up of ten 3D volumes representing ten different phases of one average breathing cycle. Spatiotemporal motion estimation for respiratory-correlated imaging of the lungs Jef Vandemeulebroucke, Simon Rit, Jan Kybic, Patrick Clarysse, and David Sarrut, Med. Please note that all of the provided data below is referenced with respect to the dimensions of the preprocessed image!Ī new data set has been created to validate our results in: This information is for internal use only. pdfįurther more, we would like to encourage you to send an email to or briefly describing (2 lines should suffice) the type of research you do with this data and the reason you want to use the data. In XVth International Conference on the Use of Computers in Radiation Therapy (ICCR), Toronto, Canada. The POPI-model, a point-validated pixel-based breathing thorax model.

The article containing the proposition of this initiative: Vandemeulebroucke, J., Sarrut, D. The institution from which they were obtained: the Léon Bérard Cancer Center & CREATIS lab, Lyon, France. When using any of the data provided for publications, please make reference to: Jef Vandemeulebroucke, Downloadsīy downloading this data, you agreeing to follow these guidelines. We welcome any advice or opinions that can make this model more usefull for you. It can and has been used as a standard for validating deformable registration, for simulating motion compensated image reconstruction (CT, PET), for computing 4D dose distribution in radiotherapy.

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Please feel free to use this data into your work.

We feel that there is a need for sharing this type of data as it dificult and laborious to come by. We wish to put at the disposal of the scientific community a 4D pixel-based and point-validated breathing thorax model, consisting of a 4DCT image data set along with associated vector fields and landmarks. This validated data set can serve as a reference so please feel free to incorporate it into your work. The freely available POPI-model could be usefull when working on motion compensated reconstruction (CT, TEP),4D dosimetry, 4D deformable registration, lung deformation estimation, monte-carlo simulations.

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