3D Ultrasound Reconstructions of the Carotid Artery and Thyroid Gland Using Artificial-Intelligence-Based Automatic Segmentation—Qualitative and Quantitative Evaluation of the Segmentation Results via Comparison with CT Angiography

3D Ultrasound Reconstructions of the Carotid Artery and Thyroid Gland Using Artificial-Intelligence-Based Automatic Segmentation—Qualitative and Quantitative Evaluation of the Segmentation Results via Comparison with CT Angiography

The aim of this study was to evaluate the feasibility of a noninvasive and low-operator-dependent imaging method for carotid-artery-stenosis diagnosis. A previously developed prototype for 3D ultrasound scans based on a standard ultrasound machine and a pose reading sensor was used for this study. W...

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Bibliographic Details
Main Authors: Tudor Arsenescu, Radu Chifor, Tiberiu Marita, Andrei Santoma, Andrei Lebovici, Daniel Duma, Vitalie Vacaras, Alexandru Florin Badea
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
carotid artery ultrasonography
medical imaging
artificial intelligence
carotid disease diagnosis
atherosclerosis diagnosis
Online Access:https://www.mdpi.com/1424-8220/23/5/2806

Internet

https://www.mdpi.com/1424-8220/23/5/2806

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