Key result
An automated method using CT images correctly identified the carotid bifurcation point and calculated the carotid angle in all 5 tested patient samples.
Why the study?
Carotid stenosis is an important factor in ischemic stroke, making it important to measure carotid narrowness with the calculation of the bifurcation angle.
An automated method using CT cross-sectional images can correctly identify the carotid bifurcation and calculate its angle, potentially reducing errors from manual measurements.
Answers are grounded in this paper and cite their sources.
CT-based automated carotid bifurcation detection feasible in small samples; leaves open larger validation before clinical adoption.
Carotid stenosis is an important etiological factor in the forming of ischemic stroke. The weight of stroke which is formed as a result of extracranial internal carotid artery stenosis or occlusion differs according to the location, size of interaction, collateral supply, and the mechanisms those cause interact. Therefore, it is important to measure the narrowness of the carotid with the calculation of the bifurcation angle. In this study, CT cross-sectional image sequences are used. The images are unsupervised classified, and the carotid veins are identified with the boundaries and centers of the clusters. Then, the angles are calculated with three center points of the veins from successive images. The center point of the calculation is from the vein which has the maximum area difference between one of the successive images. The results are evaluated using 5 samples with visual interpretation regarding the position and the correctness of the three successive images which have maximum area jump.
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Demir et al. (2022) studied Carotid stenosis (n=5). Automated measurement of carotid angle vs. Visual interpretation was evaluated on Correct identification of the bifurcation point and calculation of the carotid angle. An automated method using CT images correctly identified the carotid bifurcation point and calculated the carotid angle in all 5 tested patient samples.
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