» Articles » PMID: 35241522

Influence of Radiation Dose, Photon Energy, and Reconstruction Kernel on Rho/z Analysis in Spectral Computer Tomography: A Phantom Study

Overview
Journal In Vivo
Specialty Oncology
Date 2022 Mar 4
PMID 35241522
Authors
Affiliations
Soon will be listed here.
Abstract

Background/aim: The effective atomic number (Z) and electron density relative to water (ρ or Rho) of elements can be derived in dual-energy computed tomography (DECT). The aim of this phantom study was to investigate the effect of different photon energies, radiation doses, and reconstruction kernels on Z and Rho measured in DECT.

Materials And Methods: An anthropomorphic head phantom including five probes of known composition was scanned under three tube-voltage combinations in DECT: Sn140/100 kV, 140/80 kV and Sn140/80 kV with incremented radiation doses. Raw data were reconstructed with four reconstruction kernels (I30, I40, I50, and I70). Rho and Z were measured for each probe for all possible combinations of scan and reconstruction parameters.

Results: DECT-based Rho and Z closely approached the reference values with a mean and maximum error of 1.7% and 6.8%, respectively. Rho was lower for 140/80 kV compared with Sn140/100 kV and Sn140/80 kV with differences being 0.009. Z differed among all tube voltages with the most prominent difference being 0.28 between 140/80 kV and Sn140/100 kV. Z was lower in I70 compared with those of I30 and I40 with a difference of 0.07. Varying radiation dose yielded a variation of 0.0002 in Rho and 0.03 in Z, both considered negligible in practice.

Conclusion: DECT comprises a feasible method for the extraction of material-specific information. Slight variations should be taken into account when different radiation doses, photon energies, and kernels are applied; however, they are considered small and in practice not crucial for an effective tissue differentiation.

Citing Articles

In vitro blood sample assessment: investigating correlation of laboratory hemoglobin and spectral properties of dual-energy CT measurements (ρ/Z).

Schulz B, Euler A, Schmid H, Kubik-Huch R, Thali M, Niemann T Eur Radiol. 2024; 34(12):7934-7943.

PMID: 38856781 PMC: 11557693. DOI: 10.1007/s00330-024-10820-6.


Assessment of Image Quality in Chest CT With Precision Matrix and Increased Framing Rate Using Single Source CT: A Phantom Study.

Mavridis S, El-Gedaily M, Kubik-Huch R, Knoth F, Leon J, Euler A In Vivo. 2023; 37(1):99-105.

PMID: 36593029 PMC: 9843783. DOI: 10.21873/invivo.13058.

References
1.
Ananthakrishnan L, Duan X, Xi Y, Lewis M, Pearle M, Antonelli J . Dual-layer spectral detector CT: non-inferiority assessment compared to dual-source dual-energy CT in discriminating uric acid from non-uric acid renal stones ex vivo. Abdom Radiol (NY). 2018; 43(11):3075-3081. DOI: 10.1007/s00261-018-1589-x. View

2.
Yuan R, Mayo J, Hogg J, Pare P, McWilliams A, Lam S . The effects of radiation dose and CT manufacturer on measurements of lung densitometry. Chest. 2007; 132(2):617-23. DOI: 10.1378/chest.06-2325. View

3.
Hunemohr N, Krauss B, Tremmel C, Ackermann B, Jakel O, Greilich S . Experimental verification of ion stopping power prediction from dual energy CT data in tissue surrogates. Phys Med Biol. 2013; 59(1):83-96. DOI: 10.1088/0031-9155/59/1/83. View

4.
Bharati A, Rani Mandal S, Gupta A, Seth A, Sharma R, Bhalla A . Development of a Method to Determine Electron Density and Effective Atomic Number of High Atomic Number Solid Materials Using Dual-Energy Computed Tomography. J Med Phys. 2019; 44(1):49-56. PMC: 6438052. DOI: 10.4103/jmp.JMP_125_18. View

5.
Ramos Garcia L, Azorin J, Almansa J . A new method to measure electron density and effective atomic number using dual-energy CT images. Phys Med Biol. 2015; 61(1):265-79. DOI: 10.1088/0031-9155/61/1/265. View