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Articles; Biotechnological Equipment

Adjusting the input ultrasound image data and the atherosclerotic plaque detection in the carotid artery by the FOTOMNG system

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Pages 567-575 | Received 31 Jan 2014, Accepted 05 Mar 2014, Published online: 10 Jul 2014

Figures & data

Figure 1. Normal ECG signal course.

Figure 1. Normal ECG signal course.

Figure 2. Ultrasonic picture taken from the video signal.

Figure 2. Ultrasonic picture taken from the video signal.

Figure 3. ECG graph pre-processed by thresholding.

Figure 3. ECG graph pre-processed by thresholding.

Figure 4. Variance computation.

Figure 4. Variance computation.

Figure 5. Image with missing artery parts (a); artery part repaired using a reference image and the image with missing parts artery for correction (b); repaired artery parts, completed by an average of the values of reference images (c); fixed artery part with a user defined colour (d).

Figure 5. Image with missing artery parts (a); artery part repaired using a reference image and the image with missing parts artery for correction (b); repaired artery parts, completed by an average of the values of reference images (c); fixed artery part with a user defined colour (d).

Figure 6. Image with objects designated for correction (a); reference image number 1 (b); reference image number 2 (c); repaired objects in the image when the objects of reference images 1 and 2 are used (d).

Figure 6. Image with objects designated for correction (a); reference image number 1 (b); reference image number 2 (c); repaired objects in the image when the objects of reference images 1 and 2 are used (d).

Figure 7. Original image (a); image after classical histogram equalization method (b); image after CLAHE application (c).

Figure 7. Original image (a); image after classical histogram equalization method (b); image after CLAHE application (c).

Figure 8. Smoothed image after cropping and threshold (a), after edge detection (b) and after artery side reconstruction (c).

Figure 8. Smoothed image after cropping and threshold (a), after edge detection (b) and after artery side reconstruction (c).

Figure 9. The resulting polygon after inner artery side segmentation.

Figure 9. The resulting polygon after inner artery side segmentation.

Figure 10. Sample result of the proposed algorithm for artery detection and segmentation.

Figure 10. Sample result of the proposed algorithm for artery detection and segmentation.

Figure 11. Detection error box plot.

Figure 11. Detection error box plot.