Ultra-low radiation dose CT angiography of the lower extremity using the iterative model reconstruction (IMR) algorithm.
Clin Radiol
; 73(11): 985.e13-985.e19, 2018 11.
Article
en En
| MEDLINE
| ID: mdl-30195723
AIM: To investigate the image quality of lower-extremity computed tomography (CT) angiography (CTA) with ultra-low radiation dose using the iterative model reconstruction (IMR) algorithm. MATERIALS AND METHODS: Lower-extremity CTA was acquired using a 256-multidetector CT system from 90 patients assigned into three groups: (1) the routine dose (RD) group: 120 kVp, automatic tube current modulation (ACTM) with an image quality index of 12, and filtered back projection (FBP); (2) the low-dose (LD) group: 80 kVp, ACTM with an image quality index of 1, and IMR; and (3) the ultra-low dose (ULD) group: 80 kVp, 20 mAs, and IMR. CT attenuation, image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) of the lower-extremity arteries were calculated. Subjective image quality of lower-extremity segments was assessed. Effective radiation dose was recorded. RESULTS: The radiation dose was reduced by 91.4% and 67.3% in the ULD group (0.15±0.02 mSv) compared to the RD group (1.86±0.51 mSv) and the LD group (0.49±0.08 mSv; both p<0.05). Higher CT attenuation, SNR, CNR, and lower image noise were obtained in the ULD group and the LD group compared to the RD group (all p<0.05). Better subjective image quality in lower leg segments was obtained in the ULD group and the LD group compared to the RD group (all p<0.05). No difference was found between the ULD and LD groups in both objective and subjective image quality (all p>0.05). CONCLUSION: By using IMR during lower-extremity CTA, the radiation dose is reduced by up to 91.4% without compromising image quality.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Intensificación de Imagen Radiográfica
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Angiografía por Tomografía Computarizada
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Pierna
Tipo de estudio:
Prognostic_studies
Límite:
Aged
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Female
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Humans
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Male
Idioma:
En
Revista:
Clin Radiol
Año:
2018
Tipo del documento:
Article
País de afiliación:
China