Table 2. Quantitative analysis of image noise and SNR for the reconstruction techniques.

Reconstruction	Quantitative image quality metrics (%)
	Noise in AR (HU)	SNR in AR	Noise in LV (HU)	SNR in LV
ASiR-V 50% vs. FBP	−26.7±3.4*	36.5±5.8*	−25.9±3.2*	35±5.5*
DLIR-L vs. FBP	−27.6±8.3*	39.9±16.1*	−23.7±9.2*	32.1±18.3*
DLIR-M vs. FBP	−37.3±7.2*	61.3±17.7*	−34.6±7.7*	54.3±18.4*
DLIR-H vs. FBP	−46.4±5.4*	88.2±21.7*	−44.9±5.7*	82.5±19.9*
DLIR-L vs. ASiR-V 50%	−1.4±9.7	2.4±10.1	2.9±10.9	−2.3±11.6
DLIR-M vs. ASiR-V 50%	−14.6±8.7*	18.1±11.4*	−11.8±8.5*	14.1±11.7*
DLIR-H vs. ASiR-V 50%	−26.9±6.4*	37.8±13.5*	−25.7±6.4*	35.1±11.2*

Data given are mean relative differences ± standard deviation (SD) (expressed in percentages) between the targeted and the referenced reconstruction groups. *, P<0.05. SNR, signal-to-noise ratio; AR, aortic root, LV, left ventricular cavity; FBP, filtered back projection; ASIR-V 50%, adaptive statistical iterative reconstruction-V at 50% intensity; DLIR-L, deep learning image reconstruction at low level; DLIR-M, deep learning image reconstruction at medium level; DLIR-H, deep learning image reconstruction at high level; HU, Hounsfield units.