Table 1.
Detailed steps of the qualified rendering image selection algorithm
Input: Elastic thyroid video Output: Vessel image |
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Step 1: Extract rendering region and gray scale region from the elastic thyroid video |
Step 2: Speckle noise reduction in the gray scale region |
Step 3: Gray scale image segmentation based on NGC algorithm a. Map thyroid ultrasound image into NS b. Apply indeterminacy filtering on the gray scale image c. Define the node weights in a graph d. Segment the graph using a maximum-flow algorithm |
Step 4: Identify the anatomic regions in thyroid image |
Step 5: Extract the rendering colors on these anatomic regions |
Step 6: Find the frames which satisfy the rendering qualified criteria |