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X-ray tomography, or X-ray computed tomography, is a method for generating 3-dimensional imaged volumes from 2-dimensional X-ray image slices. X-ray imaging is based on the differential absorption or scattering of an X-ray source to reveal the internal attributes of a structure or specimen; it is commonly used in medical imaging.
Accurate localization of abnormalities is crucial in the interpretation of chest X-rays. Here the authors present a deep learning framework for simultaneous localization of 14 thoracic abnormalities and calculation of cardiothoracic ratio, based on large X-ray dataset with bounding boxes created via a human-in-the-loop approach.
Synchrotron X-ray imaging of stimulated human middle ears reveals the 3D movement of auditory ossicles: it enables their motion quantification, confirms the lever-like motions of the malleus and incus and reveals a more intricate stapedial behavior.
A nondestructive 3D imaging method for mollusks, propagation-based phase- contrast X-ray imaging, significantly increases contrast in mollusks with intact shells.
