Table 6:

Image quality metrics examining SNR and CNR in the renal vein or inferior vena cava for K-MOTIVE and db-K-MOTIVE sequences at various locations. SNR was computed in the image corresponding to TE=0ms, where $SNR={\mu }_{ROI}/{\mu }_{background}$, i.e., the mean signal intensity in ROI (vein or static tissue) divided by the mean signal intensity of background air. Contrast-to-noise ratio (CNR) was calculated as a difference between the SNR of vein and surrounding static tissue. Metrics were not significantly different among all pulse sequences.

Image Quality	$\text{SNR}=\frac{{\text{μ}}_{\text{ROI}}}{{\text{μ}}_{\text{background}}}$		$\text{CNR}={\text{SNR}}_{\text{vein}}–{\text{SNR}}_{\text{tissue}}$
	Vein	Surrounding tissue
K-MOTIVE-left	15 ± 8	2.6 ± 0.9	13 ± 7
K-MOTIVE-right	15 ± 6	2.6 ± 1.1	12 ± 6
K-MOTIVE-supra	18 ± 9	3.0 ± 1.0	15 ± 8
K-MOTIVE-infra	24 ± 10	3.6 ± 1.7	20 ± 9
db-K-MOTIVE-supra	17 ± 9	3.4 ± 1.3	14 ± 9
db-K-MOTIVE-infra	23 ± 14	3.6 ± 1.7	19 ± 14