Photon-Counting CT of the Brain: In Vivo Human Results and Image-Quality Assessment.

AJNR Am J Neuroradiol

From the Department of Radiology and Imaging Sciences (A.P., R.S., D.S.R., M.B., T.E.C., D.A.B.), National Institutes of Health Clinical Center, Bethesda, Maryland

Published: December 2017

Background And Purpose: Photon-counting detectors offer the potential for improved image quality for brain CT but have not yet been evaluated in vivo. The purpose of this study was to compare photon-counting detector CT with conventional energy-integrating detector CT for human brains.

Materials And Methods: Radiation dose-matched energy-integrating detector and photon-counting detector head CT scans were acquired with standardized protocols (tube voltage/current, 120 kV(peak)/370 mAs) in both an anthropomorphic head phantom and 21 human asymptomatic volunteers (mean age, 58.9 ± 8.5 years). Photon-counting detector thresholds were 22 and 52 keV (low-energy bin, 22-52 keV; high-energy bin, 52-120 keV). Image noise, gray matter, and white matter signal-to-noise ratios and GM-WM contrast and contrast-to-noise ratios were measured. Image quality was scored by 2 neuroradiologists blinded to the CT detector type. Reproducibility was assessed with the intraclass correlation coefficient. Energy-integrating detector and photon-counting detector CT images were compared using a paired test and the Wilcoxon signed rank test.

Results: Photon-counting detector CT images received higher reader scores for GM-WM differentiation with lower image noise (all < .001). Intrareader and interreader reproducibility was excellent (intraclass correlation coefficient, ≥0.86 and 0.79, respectively). Quantitative analysis showed 12.8%-20.6% less image noise for photon-counting detector CT. The SNR of photon-counting detector CT was 19.0%-20.0% higher than of energy-integrating detector CT for GM and WM. The contrast-to-noise ratio of photon-counting detector CT was 15.7% higher for GM-WM contrast and 33.3% higher for GM-WM contrast-to-noise ratio.

Conclusions: Photon-counting detector brain CT scans demonstrated greater gray-white matter contrast compared with conventional CT. This was due to both higher soft-tissue contrast and lower image noise for photon-counting CT.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7963753PMC
http://dx.doi.org/10.3174/ajnr.A5402DOI Listing

Publication Analysis

Top Keywords

photon-counting detector
36
energy-integrating detector
16
image noise
16
detector
14
photon-counting
12
image quality
8
detector photon-counting
8
gm-wm contrast
8
intraclass correlation
8
correlation coefficient
8

Similar Publications

Objectives: The purpose of this study was to evaluate whether the iodine contrast in blood and solid organs differs between men and women and to evaluate the effect of BMI, height, weight, and blood volume (BV) on sex-specific contrast in staging CT.

Materials And Methods: Patients receiving a venous-phase thoracoabdominal Photon-Counting Detector CT (PCD-CT) scan with 100- or 120-mL CM between 08/2021 and 01/2022 were retrospectively included in this single-center study. Image analysis was performed by measuring iodine contrast in the liver, portal vein, spleen, left atrium, left ventricle, pulmonary trunk, ascending and descending aorta on spectral PCD-CT datasets.

View Article and Find Full Text PDF

Nuclear power plant decommissioning requires the rapid and accurate classification of radioactive waste in narrow spaces and under time constraints. Photon-counting detector technology offers an effective solution for the quick classification and detection of radioactive hotspots in a decommissioning environment. This paper characterizes a 5 mm CdTe Timepix3 detector and evaluates its feasibility as a single-layer Compton camera.

View Article and Find Full Text PDF

Background: The aim of this study was to assess the possibility of image improvement of ECG-gated, high-pitch computed tomography angiography (CTA) of the thoracoabdominal aorta before transaortic valve replacement (TAVR) on a novel dual-source photon-counting detector CT (PCD-CT) in the setting of suboptimal low-contrast attenuation.

Methods: Continuously examined patients who underwent an ECG-gated, high-pitch CTA of the aorta on a PCD-CT with a contrast decrease of at least 50% between the ascending aorta and the common femoral arteries (CFA) were included. Patient characteristics were documented.

View Article and Find Full Text PDF

Background: The latest generation of computed tomography (CT) systems based on photon-counting detector promises significant improvements in several clinical applications, including chest imaging.

Purpose: The aim of the study is to evaluate the image quality of ultra-high-resolution (UHR) photon-counting detector CT (PCD-CT) of the lung using four sharp reconstruction kernels.

Material And Methods: This retrospective study included 25 patients (11 women and 14 men; median age, 71 years) who underwent unenhanced chest CT from April to May 2023.

View Article and Find Full Text PDF
Article Synopsis
  • The study investigated the noise reduction capabilities of a photon-counting detector (PCD) in computed tomography (CT) using a model-based iterative reconstruction algorithm (QIR).
  • Forty repeated scans were conducted on a water phantom and compared with a conventional energy-integrating detector (EID) to assess noise characteristics.
  • Results showed that PCD-CT significantly reduced noise levels and improved image uniformity, demonstrating the effectiveness of QIR in decreasing noise without altering the overall distribution of noise values.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!