Multicolor spectral photon-counting computed tomography: in vivo dual contrast imaging with a high count rate scanner
Year: 2017
Type: article
Abstract: A new prototype spectral photon-counting computed tomography (SPCCT) based on a modified clinical CT system has been developed. SPCCT analysis of the energy composition of the transmitted x-ray spectrum potentially allows simultaneous dual contrast agent imaging, however, this has not yet been demonstrated with such a system. We investigated the feasibility of using this system to distinguish gold nanoparticles (AuNP) and an iodinated contrast agent. The contrast agents and calcium phosphate were imaged in phantoms. Conventional CT, gold K-edge, iodine and water images were produced and demonstrated accurate discrimination and quantification of gold and iodine concentrations in a phantom containing mixtures of the contrast agents. In vivo experiments were performed using New Zealand White rabbits at several times points after injections of AuNP and iodinated contrast agents. We found that the contrast material maps clearly differentiated the distributions of gold and iodine in the tissues allowing quantification of the contrast agents' concentrations, which matched their expected pharmacokinetics. Furthermore, rapid, repetitive scanning was done, which allowed measurement of contrast agent kinetics with high temporal resolution. In conclusion, a clinical scale, high count rate SPCCT system is able to discriminate gold and iodine contrast media in different organs in vivo.
Source: Scientific Reports
Institutions: University of Pennsylvania, Centre National de la Recherche Scientifique, Inserm, Hospices Civils de Lyon, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé, Lyon 1 Université, Laboratoire d'Automatique, de Génie des Procédés et de Génie Pharmaceutique, Centre d'Exploration et de Recherche Médicale par Emission de Positons, Philips (France), Philips (Germany), Philips (Israel), Institut National des Sciences Appliquées de Lyon
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,407
OpenAlex ID: W2724672945
