Back

K-Edge Imaging Using a Clinical Dual-Source Photon-Counting CT System

Rybertt, M. V.; Liu, L. P.; Sahbaee, P.; Nowak, T.; Mathew, M.; Litt, H. I.; Cormode, D. P.; Dhanaliwala, A. H.; Noël, P. B.

2025-08-24 radiology and imaging
10.1101/2025.08.21.25333798 medRxiv
Show abstract

PurposeTo evaluate the feasibility and performance of K-edge imaging of iodine (I) and gadolinium (Gd) on a clinically available photon-counting computed tomography (PCCT) system. MethodsA dual-source clinical PCCT scanner with four energy thresholds (20, 55, 72, 90 keV) was used to scan phantoms containing pure and mixed solutions of I and Gd across multiple concentrations (1-10 mg/mL) and radiation doses (1-8 mGy). Multi-material decomposition was performed using a calibration-based, image-domain algorithm to generate material-specific maps. Quantitative accuracy was assessed using Bland-Altman analysis and contrast-to-noise ratio (CNR), while noise and bias trends were statistically analyzed using non-parametric tests. ResultsK-edge imaging was successfully achieved on a clinical PCCT system with accurate decomposition of I and Gd across varying concentrations, solution types (pure/mixed), and dose levels. Quantitative bias was significantly influenced by radiation dose, concentration, and solution type (p < 0.0004). Increased radiation dose and contrast concentration improved quantification accuracy, with maximum bias reductions of 0.9 (I) and 0.3 mg/mL (Gd). CNR correlated linearly with concentration (R{superscript 2} > 0.99) and moderately with dose (R{superscript 2} = 0.85-0.94), achieving peak values of 13 (I) and 16 (Gd) at 8 mGy. Mixed solutions showed reduced performance compared to pure solutions, i.e., CNR of 5 mg/mL Gd solutions increased by 0.6 per mGy in pure solutions while by 0.5 per mGy in mixtures. Noise was dependent on dose but not on concentration or solution type. ConclusionThis study establishes the feasibility of K-edge imaging using a clinical PCCT system and demonstrates accurate, simultaneous decomposition of I and Gd in pure and mixed solutions. These findings support the clinical translation of K-edge imaging and highlight PCCTs potential for advanced dual-contrast and molecular imaging applications.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Physics in Medicine & Biology
18 papers in training set
Top 0.1%
27.4%
2
Scientific Reports
3612 papers in training set
Top 2%
13.3%
3
Medical Physics
14 papers in training set
Top 0.1%
10.1%
50% of probability mass above
4
PLOS ONE
5266 papers in training set
Top 21%
8.1%
5
European Radiology
15 papers in training set
Top 0.1%
6.5%
6
Journal of Magnetic Resonance Imaging
16 papers in training set
Top 0.1%
2.7%
7
Magnetic Resonance in Medicine
85 papers in training set
Top 0.4%
2.0%
8
Photoacoustics
12 papers in training set
Top 0.1%
2.0%
9
Biomedical Physics & Engineering Express
11 papers in training set
Top 0.2%
1.8%
10
Journal of Medical Imaging
11 papers in training set
Top 0.2%
1.8%
11
NMR in Biomedicine
28 papers in training set
Top 0.2%
1.8%
12
European Journal of Nuclear Medicine and Molecular Imaging
20 papers in training set
Top 0.1%
1.4%
13
Cureus
68 papers in training set
Top 3%
1.2%
14
Biomedical Optics Express
95 papers in training set
Top 0.7%
1.2%
15
Archives of Clinical and Biomedical Research
28 papers in training set
Top 0.9%
1.1%
16
NeuroImage
903 papers in training set
Top 5%
1.1%
17
Diagnostics
50 papers in training set
Top 2%
1.1%
18
International Journal of Radiation Oncology*Biology*Physics
25 papers in training set
Top 0.4%
1.0%
19
Ultrasound in Medicine & Biology
10 papers in training set
Top 0.3%
1.0%
20
BMJ Open
601 papers in training set
Top 12%
0.9%
21
Annals of Biomedical Engineering
37 papers in training set
Top 1%
0.9%
22
Nature Communications
5641 papers in training set
Top 58%
0.6%
23
Imaging Neuroscience
282 papers in training set
Top 4%
0.6%
24
Clinical and Translational Radiation Oncology
10 papers in training set
Top 0.2%
0.6%
25
Magnetic Resonance Imaging
23 papers in training set
Top 0.5%
0.6%