1982
DOI: 10.1016/0301-5629(82)90097-7
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A digital technique for tracking moving interfaces

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Cited by 24 publications
(2 citation statements)
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“…The time-dependent position of the reflector can be tracked by considering the first positive detection [14]. Starting from within the lumen the first relevant echo reflects the lumen-intima boundary zero-crossing within a short observation window [16][17][18][19][20]. For motion towards the transducer the zero-while the second reflection originates from the mediaadventitia boundary [13].…”
Section: Diameter Assessmentmentioning
confidence: 99%
“…The time-dependent position of the reflector can be tracked by considering the first positive detection [14]. Starting from within the lumen the first relevant echo reflects the lumen-intima boundary zero-crossing within a short observation window [16][17][18][19][20]. For motion towards the transducer the zero-while the second reflection originates from the mediaadventitia boundary [13].…”
Section: Diameter Assessmentmentioning
confidence: 99%
“…Recently, a deep learning method for artery motion tracking using ultrasound RF signals in B-mode was proposed in [62]. Using a Siamese neural network architecture of fully convolutional neural networks [63], adjacent scanlines of the ultrasound RF signals in a region of interest were matched using a similarity score of the cor- Methods of motion tracking using M-mode sequences of ultrasound RF signals that have been previously proposed include Doppler [65], thresholding [66], and phase locking techniques [67], [68]. Doppler techniques are prone to errors arising from mismatch in the demodulation frequency.…”
Section: B-mode Techniquesmentioning
confidence: 99%