Academia.eduAcademia.edu

Figure 2 – uploaded by IJIRAE - International Journal of Innovative Research in Advanced Engineering

See full PDFdownloadDownload figure
Segmentation processes are performed using the matlab programe and the image used for segmentation is a CT scan image. CT head image with hemorrhage on slice 26 until slice 37 before segmentation can be seen in Fig.3.1. The result of segmentation of otsu method can separate object with its background, that is brain hemorrhageand brain. The next step is followed by morphological operations to improve the segmentation results and eliminate the noise and eliminate the undesirable area. The result of segmentation with otsu method and morphological operation is binary image. The binary image obtained is 12 slices of a total of 64 head image slices, starting from slice 26 to slice 37. The binary image is used for calculating the area of hemorrhage in the brain by summing all white objects with pixels of value is 1. Binary image of the ssegmentation result scan be seen in the fig.3.2.

Figure 3 Segmentation processes are performed using the matlab programe and the image used for segmentation is a CT scan image. CT head image with hemorrhage on slice 26 until slice 37 before segmentation can be seen in Fig.3.1. The result of segmentation of otsu method can separate object with its background, that is brain hemorrhageand brain. The next step is followed by morphological operations to improve the segmentation results and eliminate the noise and eliminate the undesirable area. The result of segmentation with otsu method and morphological operation is binary image. The binary image obtained is 12 slices of a total of 64 head image slices, starting from slice 26 to slice 37. The binary image is used for calculating the area of hemorrhage in the brain by summing all white objects with pixels of value is 1. Binary image of the ssegmentation result scan be seen in the fig.3.2.

Related Figures (3)

The image data obtained from scanning CT Scan with Siemens brand 64 slice. The image used in the image is ct scan of axial piece head with bitmap format with 512x512 matrix size and field of view (fov) about 187 mm x 187mm, slice thickness of 2.5 mm. The image to be segmented is just the image that there is hemorrhage. Examples of normal images and cerebral hemorrhage in CT scan can be seen in Fig 2.1.
The image data obtained from scanning CT Scan with Siemens brand 64 slice. The image used in the image is ct scan of axial piece head with bitmap format with 512x512 matrix size and field of view (fov) about 187 mm x 187mm, slice thickness of 2.5 mm. The image to be segmented is just the image that there is hemorrhage. Examples of normal images and cerebral hemorrhage in CT scan can be seen in Fig 2.1.
The area of hemorrhage obtained on each slice is 1223 (slice 26), 1919 (slice 27), 2776 (slice 28), 3704 (slice 29) 3226 (slice 30), 3441 (slice 31), 3432 (slice 32), 3249 (slice 33), 2857 (Slice 34), 2330 (slice 35), 1619 (slice 36) and 963 (slice 37). The area is summed so as to obtain the total area of hemorrhageis 30079.
The area of hemorrhage obtained on each slice is 1223 (slice 26), 1919 (slice 27), 2776 (slice 28), 3704 (slice 29) 3226 (slice 30), 3441 (slice 31), 3432 (slice 32), 3249 (slice 33), 2857 (Slice 34), 2330 (slice 35), 1619 (slice 36) and 963 (slice 37). The area is summed so as to obtain the total area of hemorrhageis 30079.
The head image in brain hemorrhage can be well segmented, and to know the region and area of hemorrhage segmented can be seen from the visualization of the segmentation results in Fig. 3.3. The segmented region is visualized in red and the region is a hemorrhage area. Fig.3.3 Image of the head with visualization of the segmentation results
The head image in brain hemorrhage can be well segmented, and to know the region and area of hemorrhage segmented can be seen from the visualization of the segmentation results in Fig. 3.3. The segmented region is visualized in red and the region is a hemorrhage area. Fig.3.3 Image of the head with visualization of the segmentation results
Related topics:
Computer ScienceImage ProcessingComputed TomographyX-ray TomographyOptical TomographyOptical coherence tomographyProcess TomographyCerebral LateralityCerebral OxygenationELECTRICAL RESISTIVITY TOMOGRAPHY
580 California St., Suite 400
San Francisco, CA, 94104
© 2025 Academia. All rights reserved