Clutter suppression in ultrasound: performance evaluation and review of low-rank and sparse matrix decomposition methods

Table 7 The algorithms with good results on complex envelope phantom data

Group	Abbreviation	Time	CNR	Group	Abbreviation	Time	CNR
TTD	3WD\(\bullet\)	4.947	0.032	RPCA	Lag-SPCP-SPG	38.770	0.118
RPCA	ALM\(\bullet\)	86.748	0.070	MC	LMaFit	0.441	0.063
RPCA	APG\(\bullet\)	14.096	0.064	MC	MC-NMF	1.733	0.056
RPCA	APG-PARTIAL\(\bullet\)	19.703	0.064	NMF	NeNMF	0.179	0.070
NTF	bcuNTD	23.042	0.065	NMF	nmfLS2	0.787	0.070
NMF	Deep-Semi-NMF	0.275	0.070	NMF	NMF-MU	4.429	0.070
NMF	DRMF\(\bullet\)	2.467	0.251	RPCA	noncvxRPCA\(\circ\)	0.239	0.070
LRR	EALM\(\bullet\)	113.071	0.070	RPCA	NSA1\(\bullet\)	3.560	0.065
NMF	ENMF	56.960	0.070	RPCA	NSA2\(\bullet\)	3.704	0.064
RPCA	flip-SPCP-max-QN	194.004	0.110	RPCA	PCP\(\bullet\)	29.737	0.064
RPCA	flip-SPCP-sum-SPG	774.004	0.110	NMF	PNMF	32.414	0.072
RPCA	FPCP	0.156	0.069	RPCA	R2PCP\(\circ\)	1.410	0.071
RPCA	GoDec	0.164	0.071	LRR	ROSL	1.077	0.070
RPCA	GreGoDec	0.603	0.070	NMF	Semi-NMF	0.184	0.078
MC	GROUSE*	2.090	0.123	RPCA	SSGoDec	4.876	0.071
TD	HoRPCA-S-NCX	174.635	0.064	RPCA	TFOCS-EC\(\bullet\)	29.885	0.052
TD	HoSVD	2.527	0.070	TD	Tucker-ADAL	654.740	0.010
LRR	IALM\(\bullet\)	6.495	0.070	TD	Tucker-ALS	0.269	0.070
MC	IALM-MC	15.723	0.055	RPCA	VBRPCA\(\circ\)	20.913	0.077
RPCA	Lag-SPCP-QN	27.778	0.079	NMF	NMF-PG*	34.973	0.063

The algorithms with \(\circ\) are the 3 new algorithms work on processed data, which are defective on original data. The algorithms with \(\bullet\) are sensitive to structured peak pixels and work after logarithmic processing. Two algorithms with * get good results on original envelope data but are defective on processed data

ISSN: 1475-925X