GAN Evaluation Report - Patient BMG07082017

Native→Venous Translation Metrics (Generated Venous vs Real Venous)

Targeted Slice 70 - Full Window Analysis (Generated vs Real Venous)

0.864

SSIM Score

123.641

RMSE

43.806

MAE

Average Full Window Metrics Across All Slices (103 slices) - Generated vs Real Venous

0.873

SSIM Score (Avg)

116.814

RMSE (Avg)

41.353

MAE (Avg)

Targeted Slice 70 - Lung Window Analysis (Generated vs Real Venous)

0.894

Lung SSIM

45.3

Lung RMSE

16.0

Lung MAE

Average Lung Window Metrics Across All Slices (103 slices) - Generated vs Real Venous

0.910

Lung SSIM (Avg)

42.8

Lung RMSE (Avg)

15.1

Lung MAE (Avg)

Targeted Slice 70 - Mediastinum Window Analysis (Generated vs Real Venous)

0.893

Mediastinum SSIM

12.1

Mediastinum RMSE

4.3

Mediastinum MAE

Average Mediastinum Window Metrics Across All Slices (103 slices) - Generated vs Real Venous

0.907

Mediastinum SSIM (Avg)

11.4

Mediastinum RMSE (Avg)

4.0

Mediastinum MAE (Avg)

Detailed Per-Slice Metrics

Slice ID	Full Window SSIM	Full Window RMSE	Full Window MAE	Lung SSIM	Lung RMSE	Lung MAE	Mediastinum SSIM	Mediastinum RMSE	Mediastinum MAE
BMG07082017_slice_0	0.905	82.671	30.422	0.943	30.3	11.1	0.938	8.1	3.0
BMG07082017_slice_1	0.906	82.482	30.156	0.944	30.2	11.0	0.938	8.1	2.9
BMG07082017_slice_2	0.901	87.772	31.735	0.941	32.2	11.6	0.936	8.6	3.1
BMG07082017_slice_3	0.897	94.397	33.316	0.938	34.6	12.2	0.934	9.2	3.3
BMG07082017_slice_4	0.895	99.158	34.226	0.936	36.3	12.5	0.931	9.7	3.3
BMG07082017_slice_5	0.888	102.176	35.358	0.931	37.4	13.0	0.927	10.0	3.5
BMG07082017_slice_6	0.887	102.606	35.737	0.931	37.6	13.1	0.927	10.0	3.5
BMG07082017_slice_7	0.887	102.521	35.505	0.932	37.6	13.0	0.928	10.0	3.5
BMG07082017_slice_8	0.891	103.622	35.438	0.932	38.0	13.0	0.928	10.1	3.5
BMG07082017_slice_9	0.887	109.178	36.252	0.929	40.0	13.3	0.925	10.7	3.5
BMG07082017_slice_10	0.886	111.297	36.991	0.928	40.8	13.5	0.923	10.9	3.6
BMG07082017_slice_11	0.887	111.896	37.303	0.926	41.0	13.7	0.922	10.9	3.6
BMG07082017_slice_12	0.887	113.154	37.697	0.923	41.4	13.8	0.919	11.1	3.7
BMG07082017_slice_13	0.885	112.765	37.861	0.920	41.3	13.9	0.917	11.0	3.7
BMG07082017_slice_14	0.884	111.543	37.589	0.922	40.9	13.8	0.918	10.9	3.7
BMG07082017_slice_15	0.883	111.964	37.841	0.920	41.0	13.9	0.917	10.9	3.7
BMG07082017_slice_16	0.883	113.036	38.218	0.918	41.4	14.0	0.915	11.0	3.7
BMG07082017_slice_17	0.884	112.835	38.259	0.917	41.3	14.0	0.914	11.0	3.7
BMG07082017_slice_18	0.886	110.966	37.681	0.916	40.6	13.8	0.914	10.8	3.7
BMG07082017_slice_19	0.885	109.597	37.468	0.915	40.1	13.7	0.912	10.7	3.7
BMG07082017_slice_20	0.882	111.249	38.182	0.912	40.8	14.0	0.910	10.9	3.7
BMG07082017_slice_21	0.881	111.164	38.057	0.913	40.7	13.9	0.911	10.9	3.7
BMG07082017_slice_22	0.881	111.451	38.218	0.912	40.8	14.0	0.909	10.9	3.7
BMG07082017_slice_23	0.880	112.851	38.540	0.912	41.3	14.1	0.910	11.0	3.8
BMG07082017_slice_24	0.879	114.053	38.921	0.912	41.8	14.3	0.910	11.1	3.8
BMG07082017_slice_25	0.878	115.183	39.256	0.910	42.2	14.4	0.908	11.3	3.8
BMG07082017_slice_26	0.871	120.087	40.902	0.904	44.0	15.0	0.902	11.7	4.0
BMG07082017_slice_27	0.869	123.540	42.322	0.900	45.3	15.5	0.898	12.1	4.1
BMG07082017_slice_28	0.872	121.643	41.547	0.902	44.6	15.2	0.900	11.9	4.1
BMG07082017_slice_29	0.871	121.245	41.722	0.900	44.4	15.3	0.898	11.8	4.1
BMG07082017_slice_30	0.875	118.071	40.537	0.904	43.2	14.8	0.902	11.5	4.0
BMG07082017_slice_31	0.877	114.745	39.673	0.906	42.0	14.5	0.904	11.2	3.9
BMG07082017_slice_32	0.872	115.390	40.590	0.905	42.3	14.9	0.903	11.3	4.0
BMG07082017_slice_33	0.874	115.234	40.516	0.906	42.2	14.8	0.904	11.3	4.0
BMG07082017_slice_34	0.880	112.296	39.279	0.909	41.1	14.4	0.907	11.0	3.8
BMG07082017_slice_35	0.877	112.979	39.934	0.905	41.4	14.6	0.903	11.0	3.9
BMG07082017_slice_36	0.869	116.568	41.555	0.899	42.7	15.2	0.897	11.4	4.1
BMG07082017_slice_37	0.872	117.611	41.417	0.901	43.1	15.2	0.900	11.5	4.0
BMG07082017_slice_38	0.868	120.235	42.524	0.897	44.0	15.6	0.895	11.7	4.2
BMG07082017_slice_39	0.864	122.439	43.901	0.894	44.8	16.1	0.892	12.0	4.3
BMG07082017_slice_40	0.859	123.616	45.006	0.891	45.3	16.5	0.889	12.1	4.4
BMG07082017_slice_41	0.858	121.954	44.561	0.893	44.7	16.3	0.891	11.9	4.4
BMG07082017_slice_42	0.854	126.155	45.606	0.891	46.2	16.7	0.889	12.3	4.5
BMG07082017_slice_43	0.856	124.199	44.561	0.892	45.5	16.3	0.891	12.1	4.4
BMG07082017_slice_44	0.852	125.155	45.212	0.890	45.8	16.6	0.889	12.2	4.4
BMG07082017_slice_45	0.850	134.859	48.675	0.891	49.4	17.8	0.889	13.2	4.8
BMG07082017_slice_46	0.852	127.560	45.954	0.891	46.7	16.8	0.889	12.5	4.5
BMG07082017_slice_47	0.853	130.675	46.841	0.892	47.9	17.2	0.890	12.8	4.6
BMG07082017_slice_48	0.851	131.672	47.643	0.889	48.2	17.5	0.888	12.9	4.7
BMG07082017_slice_49	0.857	127.011	45.803	0.894	46.5	16.8	0.892	12.4	4.5
BMG07082017_slice_50	0.862	122.195	43.970	0.899	44.8	16.1	0.897	11.9	4.3
BMG07082017_slice_51	0.858	124.620	46.159	0.898	45.6	16.9	0.896	12.2	4.5
BMG07082017_slice_52	0.862	124.702	46.156	0.894	45.7	16.9	0.893	12.2	4.5
BMG07082017_slice_53	0.853	127.814	46.431	0.889	46.8	17.0	0.887	12.5	4.5
BMG07082017_slice_54	0.862	125.340	44.637	0.894	45.9	16.4	0.893	12.2	4.4
BMG07082017_slice_55	0.854	124.317	45.113	0.891	45.5	16.5	0.889	12.1	4.4
BMG07082017_slice_56	0.856	126.967	45.693	0.890	46.5	16.7	0.888	12.4	4.5
BMG07082017_slice_57	0.849	132.747	47.600	0.887	48.6	17.4	0.885	13.0	4.6
BMG07082017_slice_58	0.852	135.307	47.684	0.888	49.6	17.5	0.886	13.2	4.7
BMG07082017_slice_59	0.849	134.154	48.264	0.887	49.1	17.7	0.885	13.1	4.7
BMG07082017_slice_60	0.842	133.631	48.829	0.884	48.9	17.9	0.883	13.1	4.8
BMG07082017_slice_61	0.838	134.044	49.768	0.884	49.1	18.2	0.882	13.1	4.9
BMG07082017_slice_62	0.840	132.684	49.371	0.885	48.6	18.1	0.883	13.0	4.8
BMG07082017_slice_63	0.850	129.381	47.240	0.891	47.4	17.3	0.889	12.6	4.6
BMG07082017_slice_64	0.853	129.641	46.997	0.892	47.5	17.2	0.890	12.7	4.6
BMG07082017_slice_65	0.856	129.255	46.560	0.892	47.3	17.1	0.890	12.6	4.5
BMG07082017_slice_66	0.861	129.170	46.073	0.894	47.3	16.9	0.892	12.6	4.5
BMG07082017_slice_67	0.862	127.295	45.362	0.895	46.6	16.6	0.893	12.4	4.4
BMG07082017_slice_68	0.851	129.993	47.487	0.887	47.6	17.4	0.885	12.7	4.6
BMG07082017_slice_69	0.856	127.043	45.700	0.890	46.5	16.7	0.888	12.4	4.5
BMG07082017_slice_70	0.864	123.641	43.806	0.894	45.3	16.0	0.893	12.1	4.3
BMG07082017_slice_71	0.862	121.660	43.881	0.895	44.6	16.1	0.894	11.9	4.3
BMG07082017_slice_72	0.870	118.771	42.696	0.899	43.5	15.6	0.898	11.6	4.2
BMG07082017_slice_73	0.876	117.119	42.042	0.903	42.9	15.4	0.901	11.4	4.1
BMG07082017_slice_74	0.875	116.499	41.897	0.904	42.7	15.3	0.902	11.4	4.1
BMG07082017_slice_75	0.874	116.813	41.950	0.904	42.8	15.4	0.902	11.4	4.1
BMG07082017_slice_76	0.874	119.520	43.514	0.905	43.8	15.9	0.903	11.7	4.3
BMG07082017_slice_77	0.864	131.007	47.832	0.902	48.0	17.5	0.899	12.8	4.7
BMG07082017_slice_78	0.863	128.289	47.238	0.905	47.0	17.3	0.902	12.5	4.6
BMG07082017_slice_79	0.867	125.994	46.782	0.909	46.2	17.1	0.906	12.3	4.6
BMG07082017_slice_80	0.862	135.151	51.144	0.907	49.5	18.7	0.904	13.2	5.0
BMG07082017_slice_81	0.863	138.690	51.158	0.906	50.8	18.7	0.903	13.5	5.0
BMG07082017_slice_82	0.862	137.400	50.449	0.909	50.3	18.5	0.905	13.4	4.9
BMG07082017_slice_83	0.866	134.242	48.242	0.911	49.2	17.7	0.907	13.1	4.7
BMG07082017_slice_84	0.869	128.859	45.862	0.915	47.2	16.8	0.911	12.6	4.5
BMG07082017_slice_85	0.878	124.135	43.813	0.921	45.5	16.0	0.918	12.1	4.3
BMG07082017_slice_86	0.878	121.298	42.895	0.925	44.4	15.7	0.922	11.8	4.2
BMG07082017_slice_87	0.875	118.929	42.807	0.924	43.6	15.7	0.921	11.6	4.2
BMG07082017_slice_88	0.879	114.014	41.115	0.926	41.8	15.1	0.923	11.1	4.0
BMG07082017_slice_89	0.892	112.612	38.063	0.930	41.2	13.9	0.927	11.0	3.7
BMG07082017_slice_90	0.885	114.497	39.996	0.927	41.9	14.7	0.924	11.2	3.9
BMG07082017_slice_91	0.879	114.771	40.894	0.924	42.0	15.0	0.922	11.2	4.0
BMG07082017_slice_92	0.890	109.827	37.076	0.927	40.2	13.6	0.925	10.7	3.6
BMG07082017_slice_93	0.892	105.854	35.871	0.929	38.8	13.1	0.927	10.3	3.5
BMG07082017_slice_94	0.894	103.511	35.265	0.931	37.9	12.9	0.929	10.1	3.4
BMG07082017_slice_95	0.886	103.559	36.975	0.929	37.9	13.5	0.927	10.1	3.6
BMG07082017_slice_96	0.891	98.255	34.676	0.932	36.0	12.7	0.929	9.6	3.4
BMG07082017_slice_97	0.905	89.152	29.777	0.938	32.7	10.9	0.936	8.7	2.9
BMG07082017_slice_98	0.901	86.728	30.462	0.938	31.8	11.2	0.936	8.5	3.0
BMG07082017_slice_99	0.897	86.090	30.684	0.937	31.5	11.2	0.935	8.4	3.0
BMG07082017_slice_100	0.898	87.373	30.817	0.937	32.0	11.3	0.936	8.5	3.0
BMG07082017_slice_101	0.898	89.600	30.957	0.936	32.8	11.3	0.934	8.8	3.0
BMG07082017_slice_102	0.896	91.150	31.113	0.934	33.4	11.4	0.933	8.9	3.0

Image Grid

4×3 grid: Rows show different image types (Original NATIVE, Reconstructed NATIVE, Original VENOUS, Generated VENOUS), Columns show windowing techniques (No Window, Lung Window, Mediastinum Window)

Original NATIVE CT scan (input)

Full window (WL 1023.5, WW 4095 → Low −1024, High +3071)