Quantitative analysis of deep learning reconstruction in CT angiography: Enhancing CNR and reducing dose.
Journal:
Journal of X-ray science and technology
PMID:
39973777
Abstract
BACKGROUND: Computed tomography angiography (CTA) provides significant information on image quality in vascular imaging, thus offering high-resolution images despite having the disadvantages of increased radiation doses and contrast agent-related side effects. The deep-learning image reconstruction strategies were used to quantitatively evaluate the enhanced contrast-to-noise ratio (CNR) and the dose reduction effect of subtracted images.