Table 11 Patient experiment edge preservation results: ANLM has the highest average edge preservation (EP) metrics as a result of insufficient noise suppression. ROVST and LMMSE demonstrate lower average metrics as a result of overcompensation. ACER defines an optimal balance between noise suppression and edge preservation which enhances visualization with the second highest EP metrics

1

0.977

0.994

0.982

1.000

2

0.936

0.982

0.954

0.996

3

0.953

0.875

0.932

0.979

4

0.956

0.840

0.847

0.954

5

0.846

0.832

0.836

0.957

6

0.933

0.881

0.907

0.980

7

0.895

0.884

0.890

0.979

8

0.971

0.863

0.930

0.975

9

0.896

0.861

0.881

0.963

10

0.954

0.869

0.903

0.976

11

0.923

0.792

0.938

0.973

12

0.970

0.867

0.872

0.981

13

0.960

0.896

0.902

0.984

14

0.985

0.923

0.921

0.987

15

0.935

0.838

0.860

0.969

16

0.952

0.868

0.868

0.978

17

0.973

0.903

0.906

0.984

18

0.957

0.986

0.957

0.999

19

0.980

0.993

0.981

1.000

20

0.974

0.992

0.971

1.000

Avg./Std.

0.946/0.03

0.897/0.05

0.912/0.04

0.981/0.01