Empowering vision:Bone Suppression
An AI algorithm that removes bones from chest X-ray images with a single exposure
Bone Suppression is a post processing algorithm that removes the bones from standard chest X-ray images enhancing the visibility of soft tissue and any injuries.
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Interpreting chest X-rays may be complicated. Bone structures with high contrast (ribs and clavicle) may obscure all or part of the pulmonary lesions and therefore lead to errors if not even missed diagnoses.
Bone Suppression aims to createan X-ray image with better visibility of the pulmonary field by reducing the noise caused by bone structures.
With the Bone Suppression algorithm, an AI-based algorithm is applied to a standard chest X-ray taken in a single exposure to automatically remove the bone structures. The result is a high-quality output image that facilitates the visibility of soft tissues without needing to expose the patient to additional doses of radiation.
The three main strengths:
- uses standard X-ray images and integrates into the normal workflow without weighing it down
- provides an additional image without the bone structures and without the need for any special equipment
- requires no further acquisitions, avoiding increases in the radiation dose administered to the patient
The Bone Suppression algorithm starts with the original RAW image to generate an additional image in RAW format, but with the bone component removed. The algorithm does not weigh down or slow down the system, require additional acquisitions, or involve increased doses of radiation administered to the patient. Any common manual post processing deemed necessary for visualisation and reporting can be applied to this image, which is used in addition to (rather than replacing) the standard projection.
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