In this section you can find technical articles about our most sophisticated algorithms. The following articles will describe the clinical advantages that can be obtained thanks to these algorithms, their intended purpose and method of use.
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Tomosynthesis is an x-ray imaging modality technique that provides volumetric information about anatomical structures. The iterative approach is a novel reconstruction, where the algorithm operates in a recursive fashion, updating the estimates of the object volume until it converges to an optimal solution, so that the reconstructed image has less noise.
It allows the separation of soft tissue from bones in chest X-ray images obtained by double exposure
Bone suppression uses Artificial Intelligence to automatically remove bones from standard chest X-ray image with a single exposure, increasing the quality of soft tissue visibility.
Boost Lines is an image-processing application to enhance the visibility of tubes and lines in chest radiographs, giving a better information about their positions and placement.
