With the Bone Suppression algorithm, an algorithm based on artificial intelligence (AI) 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.
Abstract
The high portability, the degree of standardisation, the simple and quick execution, the reduced radiation doses administered to patients, the limited costs, and the general workflow efficiency have contributed to the wide use of chest X-rays, so that they are now a standard exam used to diagnose pulmonary diseases and conditions.
From both technical and clinical points of view, however, 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. This is why it is still worth developing effective methods to support technicians and doctors in identifying pulmonary pathologies.
The Bone Suppression (BS) algorithm is a tool that creates an X-ray image with better visibility of the pulmonary field by reducing the noise caused by bone structures.
This technology has three main strengths:
• it uses standard X-ray images;
• there is no need for any special additional equipment;
• there is no need to expose the patient to additional doses of radiation.
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