Development of a computational tool for estimating computed tomography dose parameters.

Computed tomography (CT) MATLAB dose length product (DLP) volume CT dose index (CTDI) x-ray energy spectrum

Journal

Journal of X-ray science and technology
ISSN: 1095-9114
Titre abrégé: J Xray Sci Technol
Pays: Netherlands
ID NLM: 9000080

Informations de publication

Date de publication:
2020
Historique:
pubmed: 29 9 2020
medline: 12 10 2021
entrez: 28 9 2020
Statut: ppublish

Résumé

Computed Tomographic (CT) imaging procedures have been reported as the main source of radiation in diagnostic procedures compared to other modalities. To provide the optimal quality of CT images at the minimum radiation risk to the patient, periodic inspections and calibration tests for CT equipment are required. These tests involve a series of measurements that are time consuming and may require specific skills and highly-trained personnel. This study aims to develop a new computational tool to estimate the dose of CT radiation outputs and assist in the calibration of CT scanners. It may also provide an educational resource by which radiological practitioners can learn the influence of technique factors on both patient radiation dose and the produced image quality. The computational tool was developed using MATLAB in order to estimate the CT radiation dose parameters for different technique factors. The CT radiation dose parameters were estimated from the calibrated energy spectrum of the x-ray tube for a CT scanner. The estimated dose parameters and the measured values utilising an Adult CT Head Dose Phantom showed linear correlations for different tube voltages (80 kVp, 100 kVp, 120 kVp, and 140 kVp), with R2 nearly equal to 1 (0.99). The maximum differences between the estimated and measured CTDIvol were under 5 %. For 80 kVp and low tube currents (50 mA, 100 mA), the maximum differences were under 10%. The prototyped computational model provides a tool for the simulation of a machine-specific spectrum and CT dose parameters using a single dose measurement.

Sections du résumé

BACKGROUND
Computed Tomographic (CT) imaging procedures have been reported as the main source of radiation in diagnostic procedures compared to other modalities. To provide the optimal quality of CT images at the minimum radiation risk to the patient, periodic inspections and calibration tests for CT equipment are required. These tests involve a series of measurements that are time consuming and may require specific skills and highly-trained personnel.
OBJECTIVE
This study aims to develop a new computational tool to estimate the dose of CT radiation outputs and assist in the calibration of CT scanners. It may also provide an educational resource by which radiological practitioners can learn the influence of technique factors on both patient radiation dose and the produced image quality.
METHODS
The computational tool was developed using MATLAB in order to estimate the CT radiation dose parameters for different technique factors. The CT radiation dose parameters were estimated from the calibrated energy spectrum of the x-ray tube for a CT scanner.
RESULTS
The estimated dose parameters and the measured values utilising an Adult CT Head Dose Phantom showed linear correlations for different tube voltages (80 kVp, 100 kVp, 120 kVp, and 140 kVp), with R2 nearly equal to 1 (0.99). The maximum differences between the estimated and measured CTDIvol were under 5 %. For 80 kVp and low tube currents (50 mA, 100 mA), the maximum differences were under 10%.
CONCLUSIONS
The prototyped computational model provides a tool for the simulation of a machine-specific spectrum and CT dose parameters using a single dose measurement.

Identifiants

pubmed: 32986646
pii: XST200731
doi: 10.3233/XST-200731
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1025-1035

Auteurs

Hussain M Almohiy (HM)

Department of Radiological Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.

Khalid I Hussein (KI)

Department of Radiological Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Department of Medical Physics and Instrumentation, National Cancer Institute, University of Gezira, Wad Medani, Sudan.

Mohammed S Alqahtani (MS)

Department of Radiological Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.

Mohammad Rawashdeh (M)

Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.

Elhussaien Elshiekh (E)

Department of Radiological Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Radiation Safety Institute, Sudan Atomic Energy Commission, Khartoum, Sudan.

Madshush M Alshahrani (MM)

Department of Radiology, Khamis Mushayt General Hospital, Khamis Mushayt, Saudi Arabia.

Mohammed Saad (M)

Department of Radiological Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Department of Physics, Faculty of Science, Mansoura University, Mansoura, Egypt.

Shane Foley (S)

Radiography & Diagnostic Imaging, School of Medicine, University College Dublin, Dublin, Ireland.

Charbel Saade (C)

Department of Medical Imaging Sciences, American University of Beirut Medical Centre, Beirut, Lebanon.

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