Image-Based Methods for Phase Estimation, Gating, and Temporal Superresolution of Cardiac Ultrasound

Chittajallu, Deepak Roy; McCormick, Matthew; Gerber, Samuel; Czernuszewicz, Tomasz J.; Gessner, Ryan C.; Willis, Monte S.; Niethammer, Marc; Kwitt, Roland; Aylward, Stephen

doi:10.1109/tbme.2018.2823279

Cited by 7 publications

(1 citation statement)

References 25 publications

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“…One uses external sensors such as ECG [56] and doppler probe [58] to simultaneously collect the time and the ultrasound signal, and matches the image with the time signal. The other uses images rather than extra sensors to estimate phase, such as computing image similarity [59] or using image dimensionality reduction techniques [60,61,62,63]. In these methods, the ultrasound probe should remain stationary in the scan plane during the cardiac cycle, where image pattern variations are caused only by temporal variations.…”

Section: D and 4d Ultrasound Reconstruction Of Carotid Arterymentioning

confidence: 99%

Advances in Intelligent Segmentation and 3D/4D Reconstruction of Carotid Ultrasound Imaging

Cui¹,

Li²,

Lin³

2023

Advanced Ultrasound in Diagnosis and Therapy

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Cardiovascular disease (CVD) is one of the ten leading causes of death worldwide. Atherosclerotic disease, which can lead to myocardial infarction and stroke, is the main cause of CVD. The two main ultrasound image phenotypes used to monitor atherosclerotic load are carotid intima-media thickness (IMT) and plaque area (PA). Early segmentation and measurement methods were based on manual or threshold segmentation, snake models, etc. Usually, these methods are semi-automatic and have poor repeatability and accuracy. Segmentation of the carotid intima-media complex (IMC) and plaque in ultrasound based on artificial intelligence can achieve good accuracy. Compared with two-dimensional ultrasound, three-dimensional/fourdimensional ultrasound can provide spatial dynamic vascular information, which is helpful for doctors to evaluate. This study reviews the progress of artificial intelligence (AI) segmentation methods based on machine learning (ML) and deep learning (DL) used in the segmentation of the IMC and plaque as well as the 3D / 4D reconstruction of carotid ultrasound.

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