Evaluation of an integrated 3D-printed phantom for coronary CT angiography using iterative reconstruction algorithm.
J Med Radiat Sci
; 67(3): 170-176, 2020 Sep.
Article
en En
| MEDLINE
| ID: mdl-32219989
ABSTRACT
INTRODUCTION:
3D-printed imaging phantoms are now increasingly available and used for computed tomography (CT) dose optimisation study and image quality analysis. The aim of this study was to evaluate the integrated 3D-printed cardiac insert phantom when evaluating iterative reconstruction (IR) algorithm in coronary CT angiography (CCTA) protocols.METHODS:
The 3D-printed cardiac insert phantom was positioned into a chest phantom and scanned with a 16-slice CT scanner. Acquisitions were performed with CCTA protocols using 120 kVp at four different tube currents, 300, 200, 100 and 50 mA (protocols A, B, C and D, respectively). The image data sets were reconstructed with a filtered back projection (FBP) and three different IR algorithm strengths. The image quality metrics of image noise, signal-noise ratio (SNR) and contrast-noise ratio (CNR) were calculated for each protocol.RESULTS:
Decrease in dose levels has significantly increased the image noise, compared to FBP of protocol A (P < 0.001). As a result, the SNR and CNR were significantly decreased (P < 0.001). For FBP, the highest noise with poor SNR and CNR was protocol D with 19.0 ± 1.6 HU, 18.9 ± 2.5 and 25.1 ± 3.6, respectively. For IR algorithm, the highest strength (AIDR3Dstrong ) yielded the lowest noise with excellent SNR and CNR.CONCLUSIONS:
The use of IR algorithm and increasing its strengths have reduced noise significantly and thus increased the SNR and CNR when compared to FBP. Therefore, this integrated 3D-printed phantom approach could be used for dose optimisation study and image quality analysis in CCTA protocols.Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Algoritmos
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Procesamiento de Imagen Asistido por Computador
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Angiografía Coronaria
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Fantasmas de Imagen
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Impresión Tridimensional
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Angiografía por Tomografía Computarizada
Tipo de estudio:
Evaluation_studies
/
Prognostic_studies
Idioma:
En
Revista:
J Med Radiat Sci
Año:
2020
Tipo del documento:
Article
País de afiliación:
Malasia