Ultra-high-resolution spectral silicon-based photon-counting detector CT for coronary CT angiography: Initial results in a dynamic phantom.
J Cardiovasc Comput Tomogr
; 17(5): 341-344, 2023.
Article
en En
| MEDLINE
| ID: mdl-37567802
ABSTRACT
BACKGROUND:
Recent improvements in CT detector technology have led to smaller detector pixels resolving frequencies beyond 20 lp/cm and enabled ultra-high-resolution CT. Silicon-based photon-counting detector (PCD) CT is one such technology that promises improved spatial and spectral resolution. However, when the detector pixel sizes are reduced, the impact of cardiac motion on CT images becomes more pronounced. Here, we investigated the effects cardiac motion on the image quality of a clinical prototype Si-PCD scanner in a dynamic heart phantom.METHODS:
A series of 3D-printed vessels were created to simulate coronary arteries with diameter in the 1-3.5 âmm range. Four coronary stents were set inside the d â= â3.5 âmm vessels and all vessels were filled with contrast agents and were placed inside a dynamic cardiac phantom. The phantom was scanned in motion (60 bpm) and at rest on a prototype clinical Si-PCD CT scanner in 8-bin spectral UHR mode. Virtual monoenergetic images (VMI) were generated at 70 âkeV and CT number accuracy and effective spatial resolution (blooming) of rest and motion VMIs were compared.RESULTS:
Linear regression analysis of CT numbers showed excellent agreement (r â> â0.99) between rest and motion. We did not observe a significant difference (p â> â0.48) in estimating free lumen diameters. Differences in in-stent lumen diameter and stent strut thickness were non-significant with maximum mean difference of approximately 70 âµm.CONCLUSION:
We found no significant degradation in CT number accuracy or spatial resolution due to cardiac motion. The results demonstrate the potential of spectral UHR coronary CT angiography enabled by Si-PCD.Palabras clave
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Banco de datos:
MEDLINE
Asunto principal:
Silicio
/
Angiografía por Tomografía Computarizada
Límite:
Humans
Idioma:
En
Año:
2023
Tipo del documento:
Article