Automatic Vasculature Identification in Coronary Angiograms by Adaptive Geometrical Tracking

Table 1

Quantitative comparison of Aylward, Boroujeni and the proposed algorithms.

Vessels	Aylward algorithm				Boroujeni algorithm				Proposed algorithm
	Max	Min	Mean	RMS	Max	Min	Mean	RMS	Max	Min	Mean	RMS
V1	1.68	0.04	0.48	0.62	2.28	0.00	0.40	0.60	0.59	0.02	0.27	0.30
V2	2.71	0.02	1.06	1.30	2.82	0.00	0.39	0.65	0.67	0.01	0.28	0.32
V3	3.66	0.06	0.84	1.10	1.19	0.00	0.32	0.44	1.09	0.01	0.28	0.37
V4	3.69	0.03	1.24	1.50	2.21	0.02	0.40	0.64	0.55	0.01	0.21	0.25
V5	2.60	0.26	1.64	1.80	0.96	0.02	0.48	0.55	0.91	0.01	0.41	0.48
V6	2.52	0.24	1.62	1.70	2.10	0.00	0.63	0.80	1.31	0.01	0.41	0.53
V7	3.43	0.04	1.60	1.75	1.94	0.04	0.34	0.49	1.33	0.06	0.29	0.38
V8	3.27	0.02	1.38	1.57	2.07	0.02	0.52	0.86	1.64	0.09	0.47	0.62
V9	3.99	0.22	1.61	1.97	2.67	0.01	0.87	0.87	1.31	0.01	0.41	0.53
Mean	3.06	0.10	1.27	1.48	2.03	0.01	0.48	0.66	1.04	0.03	0.34	0.42