Radbook 2016

In spectral imaging, x-ray images are formed in the customary grey scale imag- ing procedure. However different photon energies are used, generating images in different colors. Aside from the acquisition of anatomical information, this measure- ment makes it possible to show different tissue compositions. For the purposes of additional diagnostic information, spectral imaging utilizes the effect that the weakness and absorption of x-rays are dependent on their energy level and the tissue through which the radiation passes. Herein the specific and quantitative detection of iodine contrast agent is of particular interest. For example, it makes it possible to calculate out the entire back- ground of a region, including bones. The radiologist obtains a better overview of the conditions, significantly improving the determination of findings. Examples of using the method In peripheral arterial occlusive disease, the personmakingthefindingscanmoreeasily The IQon Spectral CT from Philips Accustomed workflow, low dose and visibly more precise diagnostics recognize and assess the vascular tree. In intracranial aneurysms and arterio-venous malformations, three-dimensional recon- structions and projection images without bones considerably speed up the assess- ment. Last but not least, speed is a major advantage when diagnosing stroke. The IQon Spectral CT from Philips The IQon Spectral CT from Philips – a completely new development based on Dual Layer detector technology – has the ability to detect structures based on tissue composition, and to better differentiate and characterize them. With the Dual Layer detector, which can differentiate between x-ray photons at different high and low energy levels, the IQon Spectral CT opens up new dimensions in CT imag- ing. The Dual Layer detector design allows for perfectly aligned acquisition in time and spatial terms. This results in data that can be fully reconstructed in projection domain, generating unique quantifiable Spectral information. As a result, eg, precise Left: Conventional CT image with clearly visible artifacts after embolisation with ONYX. Right:The same image with emphasis on iodine containing elements, leaving out the ONYX embolization material. Top: Difficult to quantify and characterize material composition based on conventional HU based image. Bottom: Uric acid overlay based on Spectral information proofs the presence of uric acid. RADBOOK 2016 24 ◼  COMPUTED TOMOGRAPHY

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