Several years, possibly decades, away from threatening 4DX if at all.
HiP-CT is designed to offer doctors a library of images documenting how different diseases affect a variety of organs. This never-before-seen structural data illustrates how disease can influence tissue architecture down to resolutions as small as one micron.
Claire Walsh, a mechanical engineer from University College London working on the project, says the detailed imagery will be used in tandem with machine learning techniques to improve insights garnered from clinical imaging such as MRI and CT scans. As well as helping better calibrate and improve those current technologies, Walsh suggests the HiP-CT data will help researchers develop AI systems than can clarify MRI and CT imaging.
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