Enhance your 2D-3D Registration from CT to X-ray/Fluoro images with ImFusion Suite

This video presents our high level 2D-3D Registration from CT to X-ray/Fluoro images. We provide several simplified workflows for initialization of the registration which then is refined based on GPU-accelerated and image-based 2D/3D registration. This workflow includes support for masking etc. such that specific regions can be registered individually. Furthermore we provide support for the EOS system. Last but not least, the initialization can be easily customized using our SDK.

Scientific publication in which our 2D/3D registration is used for data from an EOS system: Roth, T., Carrillo, F., Wieczorek, M. et al. Three-dimensional preoperative planning in the weight-bearing state: validation and clinical evaluation. Insights Imaging 12, 44 (2021). https://doi.org/10.1186/s13244-021-00...

The dataset was taken from the VerSe2020 dataset:
1. Löffler M, Sekuboyina A, Jakob A, Grau AL, Scharr A, Husseini ME, Herbell M, Zimmer C, Baum T, Kirschke JS. A Vertebral Segmentation Dataset with Fracture Grading. Radiology: Artificial Intelligence, 2020 https://doi.org/10.1148/ryai.2020190138.
2. Liebl H, Schinz D, Sekuboyina A, ..., Kirschke JS. A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data Sci Data. 2021 Oct 28;8(1):284. doi: 10.1038/s41597-021-01060-0.
3. Sekuboyina A, Bayat AH, Husseini ME, Löffler M, Menze BM, ..., Kirschke JS. VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. Med Image Anal. 2021 Oct;73:102166. doi: 10.1016/j.media.2021.102166. Epub 2021 Jul 22. preliminary access at https://arxiv.org/abs/2001.09193