Advanced Neuroimaging With Photon-Counting Detector CT
- PMID: 37158466
- DOI: 10.1097/RLI.0000000000000984
Advanced Neuroimaging With Photon-Counting Detector CT
Abstract
Photon-counting detector computed tomography (PCD-CT) is an emerging technology and promises the next step in CT evolution. Photon-counting detectors count the number of individual incoming photons and assess the energy level of each of them. These mechanisms differ substantially from conventional energy-integrating detectors. The new technique has several advantages, including lower radiation exposure, higher spatial resolution, reconstruction of images with less beam-hardening artifacts, and advanced opportunities for spectral imaging. Research PCD-CT systems have already demonstrated promising results, and recently, the first whole-body full field-of-view PCD-CT scanners became clinically available. Based on published studies of preclinical systems and the first experience with clinically approved scanners, the performance can be translated to valuable neuroimaging applications, including brain imaging, intracranial and extracranial CT angiographies, or head and neck imaging with detailed assessment of the temporal bone. In this review, we will provide an overview of the current status in neuroimaging with upcoming and potential clinical applications.
Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.
Conflict of interest statement
Conflicts of interest and sources of funding: none declared.
References
-
- Beckmann EC. CT scanning the early days. Br J Radiol . 2006;79:5–8.
-
- Krishnan P, Murphy A, Aviv RI. CT-based techniques for brain perfusion. Top Magn Reson Imaging . 2017;26:113–119.
-
- Seeram E. Computed tomography: a technical review. Radiol Technol . 2018;89:279CT–302CT.
-
- Sartoretti T, Wildberger JE, Flohr T, et al. Photon-counting detector CT: early clinical experience review. Br J Radiol . 2023;20220544.
-
- McCollough CH, Rajendran K, Leng S. Standardization and quantitative imaging with photon-counting detector CT. Invest Radiol . 2023. doi:10.1097/RLI.0000000000000948. - DOI
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