Key result
A novel algorithm using ray-casting and partial volume correction was developed to quantify carotid lumen diameter and estimate quantification uncertainties across different imaging modalities.
Why the study?
Does the proposed algorithm accurately quantify carotid lumen diameter and estimate uncertainties across different imaging modalities in severe carotid atherosclerosis?
Does the proposed algorithm accurately quantify carotid lumen diameter and estimate uncertainties across different imaging modalities in severe carotid atherosclerosis?
The study presents a novel algorithm for quantifying carotid lumen diameter and estimating measurement uncertainties across multiple imaging modalities.
Answers are grounded in this paper and cite their sources.
May enable precise multi-modality carotid quantification; leaves open prospective clinical validation in severe atherosclerosis.
Measurements of the vessel lumen diameter are often used to determine the degree of atherosclerotic disease in carotid arteries. However, quantification results vary with imaging technique and acquisition settings. We aim at providing a tool that quantifies the lumen diameter on different image datasets and gives an estimate of quantification uncertainties, so that they can be taken into consideration when evaluating and comparing measurements. For the segmentation of the vessel lumen, we present an algorithm using ray-casting techniques and partial volume correction. We furthermore propose a scheme for the analysis and exploration of the lumen diameter. Finally, we present a clinically relevant application scenario, in which we explore agreement between lumen diameter estimations in corresponding computed tomography angiography, contrast-enhanced magnetic resonance angiography, time-of-flight, and subtraction images of carotid vessels with severe carotid atherosclerotic plaques.
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Kaufhold et al. (2018) studied Severe carotid atherosclerotic plaques. Algorithm using ray-casting techniques and partial volume correction was evaluated on Agreement between lumen diameter estimations across different imaging modalities. A novel algorithm using ray-casting and partial volume correction was developed to quantify carotid lumen diameter and estimate quantification uncertainties across different imaging modalities.
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