Dual Source Photon-Counting Computed Tomography—Part II: Clinical Overview of Neurovascular Applications

Author:

Cademartiri Filippo1ORCID,Meloni Antonella12ORCID,Pistoia Laura1ORCID,Degiorgi Giulia1,Clemente Alberto1ORCID,De Gori Carmelo1,Positano Vincenzo12ORCID,Celi Simona3,Berti Sergio4ORCID,Emdin Michele5,Panetta Daniele6ORCID,Menichetti Luca6ORCID,Punzo Bruna7,Cavaliere Carlo7,Bossone Eduardo8ORCID,Saba Luca9,Cau Riccardo9ORCID,Grutta Ludovico La10,Maffei Erica1

Affiliation:

1. Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy

2. Department of Bioengineering, Fondazione Monasterio/CNR, 56124 Pisa, Italy

3. BioCardioLab, Department of Bioengineering, Fondazione Monasterio/CNR, 54100 Massa, Italy

4. Cardiology Unit, Ospedale del Cuore, Fondazione Monasterio/CNR, 54100 Massa, Italy

5. Department of Cardiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy

6. Institute of Clinical Physiology, National Council of Research, 56124 Pisa, Italy

7. Department of Radiology, IRCCS SynLab-SDN, 80131 Naples, Italy

8. Department of Cardiology, Ospedale Cardarelli, 80131 Naples, Italy

9. Department of Radiology, University Hospital, 09042 Monserrato, Italy

10. Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties-ProMISE, Department of Radiology, University Hospital “P. Giaccone”, 90127 Palermo, Italy

Abstract

Photon-counting detector (PCD) is a novel computed tomography detector technology (photon-counting computed tomography—PCCT) that presents many advantages in the neurovascular field, such as increased spatial resolution, reduced radiation exposure, and optimization of the use of contrast agents and material decomposition. In this overview of the existing literature on PCCT, we describe the physical principles, the advantages and the disadvantages of conventional energy integrating detectors and PCDs, and finally, we discuss the applications of the PCD, focusing specifically on its implementation in the neurovascular field.

Publisher

MDPI AG

Subject

General Medicine

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