Table 1.

Experiment on 15 Brainweb phantoms with 5 different noise levels, each at three different inhomogeneity levels (0, 20, 40%). The Dice coefficients between ground truth and hard segmentations of each tissue class, averaged over three inhomogeneity levels, are shown at each noise level. “Mean” is a weighted Dice, weighted by the volumes of each tissue class generated from the corresponding algorithm. The segmentation from Freesurfer is denoted as SURFER.

		Noise Level
		0%	3%	5%	7%	9%
CSF	FAST	0.9312	0.9170	0.9295	0.9236	0.9255
	SURFER	0.8560	0.8598	0.8561	0.8341	0.8014
	FANTASM	0.9520	0.9456	0.9350	0.9176	0.8978
	SPM	0.9700	0.9547	0.9400	0.9266	0.9010
	RiCE	0.9561	0.9500	0.9411	0.9301	0.9266
GM	FAST	0.8394	0.9347	0.9337	0.9251	0.9123
	SURFER	0.8496	0.8969	0.8611	0.8064	0.7474
	FANTASM	0.9682	0.9582	0.9429	0.9179	0.8881
	SPM	0.8997	0.9590	0.9426	0.9248	0.8952
	RiCE	0.9465	0.9580	0.9444	0.9250	0.9100
WM	FAST	0.7448	0.9628	0.9545	0.9416	0.9292
	SURFER	0.8691	0.9602	0.9230	0.8733	0.8231
	FANTASM	0.9734	0.9647	0.9511	0.9304	0.9020
	SPM	0.8483	0.9541	0.9575	0.9355	0.9014
	RiCE	0.9718	0.9710	0.9654	0.9332	0.9322
Mean	FAST	0.8318	0.9405	0.9401	0.9324	0.9209
	SURFER	0.8569	0.9105	0.8819	0.8362	0.7861
	FANTASM	0.9670	0.9581	0.9443	0.9231	0.8949
	SPM	0.8977	0.9518	0.9471	0.9308	0.9033
	RiCE	0.9609	0.9589	0.9548	0.9262	0.9294