CT phantom with 3D anthropomorphic, contrast-enhanced texture

Hope Pegues; Huayu Tong; Benjamin J. Wiley; Ehsan Samei; Joseph Y. Lo

doi:10.1117/12.2549734

16 March 2020 CT phantom with 3D anthropomorphic, contrast-enhanced texture

Hope Pegues, Huayu Tong, Benjamin J. Wiley, Ehsan Samei, Joseph Y. Lo

Proceedings Volume 11312, Medical Imaging 2020: Physics of Medical Imaging; 113122Y (2020) https://doi.org/10.1117/12.2549734
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

Abstract

Physical phantoms with realistic anatomical texture and composition (including contrast media) are of high value and relevance in evaluating the performance of clinical computed tomography (CT) imaging systems. They can offer assessments of image quality in a manner that is more relevant than existing phantoms. The goal of this project was to fabricate anatomically structured 3-D liver texture with added contrast-enhancement. The study used an inkjet printer and customized ink. Patient-informed liver texture with contrast details was first defined computationally and the needed material for each tissue type was estimated for each voxel to produce attenuations from -200 to +300 HU, with subtle 5-20 HU lesions. Volumetric data were printed, one sheet of paper at a time, using “soft tissue” ink based on 200mg/cc sodium bromide (NaBr), and “enhanced tissue” ink based on Isovue-300. The phantom was scanned on a commercial CT system (Siemens SOMATOM Definition Flash) using a clinical protocol. The results show targeted heterogeneity and enhancement as designed with subtle artifacts associated with uneven air contamination. In ongoing work, we plan to use this method to create anatomically and morphologically accurate liver and lung lesions with texture for use in dual energy CT.

Citation Download Citation

Hope Pegues, Huayu Tong, Benjamin J. Wiley, Ehsan Samei, and Joseph Y. Lo "CT phantom with 3D anthropomorphic, contrast-enhanced texture", Proc. SPIE 11312, Medical Imaging 2020: Physics of Medical Imaging, 113122Y (16 March 2020); https://doi.org/10.1117/12.2549734

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KEYWORDS

Computed tomography

Liver

Signal attenuation

Printing

Inkjet technology

Opacity

3D printing

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