Table II.

Performance evaluation of the CMACS framework on the NHLBI CTA dataset using two different atlas libraries. The quantitative Dice index is calculated between the automatic and manual segmentation using two different atlas libraries. Results are expressed as the median and 95% confidence interval.

Atlas	BBD	LV	LA	LVM	PA	RA	RV	AA	All
MMWHS	With BBD	0.88 [0.80, 0.93]	0.85 [0.74, 0.91]	0.71† [0.54, 0.81]	0.66 [0.38, 0.80]	0.84 [0.75, 0.88]	0.85 [0.79, 0.90]	0.86 [0.74, 0.91]	0.83 [0.56, 0.90]
	Without BBD	0.87 [0.75, 0.93]	0.85 [0.72, 0.89]	0.66 [0.46, 0.77]	0.61 [0.43, 0.79]	0.83 [0.66, 0.88]	0.85 [0.76, 0.89]	0.84 [0.64, 0.91]	0.81 [0.49, 0.90]
NHLBI	With BBD	0.89 [0.84, 0.93]	0.91 [0.86, 0.94]	0.80 [0.70, 0.85]	0.60 [0.38, 0.77]	0.89 [0.83, 0.91]	0.90 [0.85, 0.93]	0.89 [0.84, 0.93]	0.89 [0.56, 0.94]
	Without BBD	0.93 [0.90, 0.95]	0.91 [0.88, 0.94]	0.80 [0.67, 0.85]	0.63 [0.46, 0.74]	0.88 [0.83, 0.92]	0.89 [0.83, 0.93]	0.89 [0.83, 0.92]	0.88 [0.57, 0.94]

^†indicates significantly better performance in a higher Dice score (p<0.05).