ReconX supports Nvidia CUDA and multi-GPU structure, which accelerates image reconstruction tremendously. Large image dataset size such as 2048 x 2048 x 360 can be reconstructed in tenth seconds without compromising on image quality and details.
512 x 512 x 512
on Nvidia GTX 4070
(Single GPU)
2048 x 2048 x 2048
on Nvidia GTX A6000
(Single GPU)
4096 x 4096 x 4096
on Nvidia GTX 5060 Ti x 2
(Dual GPU)
ReconX supports highly flexible imaging geometries, ranging from traditional circular trajectories and planar CT scanning to fully user‑defined projection paths. The imaging geometry can be adjusted according to real‑world setup conditions.
ReconX automatically divide whole volume reconstruction task into multiple partial volume reconstruction subtasks to ensure whole volume can be successfully reconstructed.
ReconX is a standalone executable application ready for your system integration and testing.
Utilization of ReconX includes but is not limit to developing individual software solutions, extending current workflows with GUI applications, and prototyping an advanced X-ray imaging device. ReconX is highly flexible and customizable to meet your needs.
ReconX supports both analytical and iterative methods with Nvidia CUDA GPU computing acceleration.