Biomedical Engineering Reference
In-Depth Information
Fig. 11
Original and compressed images
Table 1
Calculation of bit rate, compression ratio, mean square error, peak signal to noise ratio
Image
Bit rate
Compression ratio
Mean square error
Peak signal to noise ratio
Image 1
0.58
1.73
0.19
103.63
Image 2
0.12
8.08
0.78
97.39
Image 3
1.00
1.00
0.0000038
150.51
Image 4
0.81
1.23
0.04
86.70
Image 5
0.25
4.02
0.57
74.68
Image 6
0.50
2.00
0.25
102.35
Image 7
0.06
16.38
0.92
96.68
Image 8
0.08
12.48
0.89
96.85
Image 9
0.67
1.48
0.01
117.45
Image 10
0.46
2.18
0.31
101.48
Simulation Results and Discussion
Simulation:
The images used in this project are as shown in Fig.
8
. The Images for trans-
formation are scanned directly from IPRO GE SYTEC 1800-i CT SCANNER.
These Images are in DICOM format and are then converted into DCM.
Results:
Step 1: Read an image from a DICOM file into the MATLAB workspace
(Fig.
9
).
Step 2: Read the metadata from the same DICOM file—Create info as object to
retrieve SeriesInstanceUID of the same Image. On applying the below
command the following output appears:
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