ROCKETSHIP: a flexible and modular software tool for the planning, processing and analysis of dynamic MRI studies

BMC Medical Imaging

Table 4 Concordance correlation coefficients (CCC) comparing fitted and simulated vp using different models and dependent parameters

Generating model	Fitting model	Time resolution (s)	SNR	Dependent parameter	Ktrans = 0.01	0.02	0.05	0.1	0.2	0.35
Patlak	Patlak	0.5	5	Ktrans	0.99	0.99	0.99	0.99	1.00	0.99
		0.5	100	Ktrans	1.00	1.00	1.00	1.00	1.00	1.00
		6	5	Ktrans	0.95	0.95	0.95	0.95	0.94	0.95
		6	100	Ktrans	1.00	1.00	1.00	1.00	1.00	1.00
					Ktrans = 0.01	0.02	0.05	0.1	0.2	0.35
Ex-Tofts	Ex-Tofts	0.5	5	Ktrans	0.99	0.99	0.99	0.99	0.98	0.98
		0.5	100	Ktrans	1.00	1.00	1.00	1.00	1.00	1.00
		6	5	Ktrans	0.95	0.95	0.94	0.93	0.91	0.88
		6	100	Ktrans	1.00	1.00	1.00	1.00	0.95	0.89
					ve = 0.01	0.02	0.05	0.1	0.2	0.5
		0.5	5	ve	0.98	0.98	0.99	0.99	0.99	0.99
		0.5	100	ve	1.00	1.00	1.00	1.00	1.00	1.00
		6	5	ve	0.92	0.90	0.89	0.93	0.95	0.94
		6	100	ve	0.92	0.92	1.00	1.00	1.00	1.00
					Ktrans = 0.01	0.02	0.05	0.1	0.2	0.35
2CXM	2CXM	0.5	5	Ktrans	0.79	0.85	0.51	0.26	0.10	0.06
		0.5	100	Ktrans	1.00	1.00	0.95	0.96	0.81	0.41
		6	5	Ktrans	0.02	0.07	0.37	0.16	0.07	0.05
		6	100	Ktrans	0.96	0.93	0.90	0.73	0.38	0.09
					ve = 0.01	0.02	0.05	0.1	0.2	0.5
		0.5	5	ve	0.95	0.90	0.65	0.31	0.15	0.02
		0.5	100	ve	0.99	0.97	0.89	0.75	0.82	0.57
		6	5	ve	0.44	0.56	0.35	0.11	0.02	−0.03
		6	100	ve	0.97	0.93	0.75	0.51	0.34	0.13
					Fp = 0.5	1	5
		0.5	5	Fp	0.22	0.28	0.31
		0.5	100	Fp	0.64	0.88	0.95
		6	5	Fp	0.09	0.09	0.03
		6	100	Fp	0.39	0.56	0.54
					Ktrans = 0.01	0.02	0.05	0.1	0.2	0.35
Tissue uptake	Tissue uptake	0.5	5	Ktrans	0.95	0.78	0.18	0.03	−0.02	−0.03
		0.5	100	Ktrans	1.00	1.00	1.00	1.00	1.00	0.48
		6	5	Ktrans	0.33	0.39	0.31	0.17	0.02	0.01
		6	100	Ktrans	0.74	0.83	0.79	0.80	0.77	0.69
					Fp = 0.5	1	5
		0.5	5	Fp	-0.01	-0.01	0.90
		0.5	100	Fp	0.67	1.00	0.99
		6	5	Fp	0.03	0.20	0.07
		6	100	Fp	0.95	0.97	0.44

100 curves for each model and fixed dependent parameter were generated as described in the text and Table 2. vp values simulated are defined in Table 2. The CCC was calculated from the vp (simulated) vs. vp (fitted) . vp values from which CCCs were calculated were segregated according to the dependent parameter (Ktrans, ve or Fp). A value of 1 shows near-perfect concordance, while 0 represents a low concordance relationship

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