Material decomposition and virtual non-contrast imaging in photon counting computed tomography: an animal study

R. Gutjahr; C. Polster; S. Kappler; H. Pietsch; G. Jost; K. Hahn; F. Schöck; M. Sedlmair; T. Allmendinger; B. Schmidt; B. Krauss; T. G. Flohr

doi:10.1117/12.2216861

25 March 2016 Material decomposition and virtual non-contrast imaging in photon counting computed tomography: an animal study

R. Gutjahr, C. Polster, S. Kappler, H. Pietsch, G. Jost, K. Hahn, F. Schöck, M. Sedlmair, T. Allmendinger, B. Schmidt, B. Krauss, T. G. Flohr

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Proceedings Volume 9783, Medical Imaging 2016: Physics of Medical Imaging; 97831G (2016) https://doi.org/10.1117/12.2216861
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

The energy resolving capabilities of Photon Counting Detectors (PCD) in Computed Tomography (CT) facilitate energy-sensitive measurements. The provided image-information can be processed with Dual Energy and Multi Energy algorithms. A research PCD-CT firstly allows acquiring images with a close to clinical configuration of both the X-ray tube and the CT-detector. In this study, two algorithms (Material Decomposition and Virtual Non-Contrast-imaging (VNC)) are applied on a data set acquired from an anesthetized rabbit scanned using the PCD-CT system. Two contrast agents (CA) are applied: A gadolinium (Gd) based CA used to enhance contrasts for vascular imaging, and xenon (Xe) and air as a CA used to evaluate local ventilation of the animal's lung. Four different images are generated: a) A VNC image, suppressing any traces of the injected Gd imitating a native scan, b) a VNC image with a Gd-image as an overlay, where contrast enhancements in the vascular system are highlighted using colored labels, c) another VNC image with a Xe-image as an overlay, and d) a 3D rendered image of the animal's lung, filled with Xe, indicating local ventilation characteristics. All images are generated from two images based on energy bin information. It is shown that a modified version of a commercially available dual energy software framework is capable of providing images with diagnostic value obtained from the research PCD-CT system.

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R. Gutjahr, C. Polster, S. Kappler, H. Pietsch, G. Jost, K. Hahn, F. Schöck, M. Sedlmair, T. Allmendinger, B. Schmidt, B. Krauss, and T. G. Flohr "Material decomposition and virtual non-contrast imaging in photon counting computed tomography: an animal study", Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97831G (25 March 2016); https://doi.org/10.1117/12.2216861

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KEYWORDS

Xenon

Lung

X-rays

Tissues

Gadolinium

Sensors

Detection and tracking algorithms

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