Paper
17 March 2015 Time-frequency analysis of neonatal cranial ultrasonic movies for selective detection of pulsatile tissues by avoiding probe-motion artifact
Masayuki Fukuzawa, Yuki Tabata, Yusuke Izuwaki, Nobuyuki Nakamori, Yoshiki Kitsunezuka
Author Affiliations +
Abstract
In order to detect the pulsatile tissues in neonatal cranial ultrasonic movies by avoiding probe-motion artifact, a time-frequency analysis has been performed in several movie fragments at typical three scenes: (a) a brain-lost, (b) a brain-captured and probe-stabilized, and (c) a brain-captured and probe-swayed ones. The pulsatile tissue, which is a key point of pediatric diagnosis, had successfully detected with an algorithm based on Fourier transform but it had required us to extract the probe-stabilized scene manually by visual observation of the movie. A spatial mean square of echo intensity Etot and a total AC power Ptot over a fan-shape of field of view were evaluated according to a power spectrum of a time-variation of 64 samples of echo intensity at each pixel in each movie fragment split from actual B-mode ultrasonic movies taken at coronal sections of a neonate. The results revealed that (1) significant low Etot was found at the brain-lost scene rather than that at the other scenes, and (2) lower Ptot was found at the probe-stabilized scene rather than the probe-swayed ones. This fact strongly suggests that the Etot and Ptot are promising features for automatic extraction of probe-stabilized scenes. It must lead to detect the pulsatile tissues selectively by avoiding probe-motion artifact and to realize systematic analysis of the whole of our extensive movie archives, which is useful not only for retrospective study of ischemic diseases but also for bedside diagnosis to stabilize the freehand ultrasonic probe.
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Masayuki Fukuzawa, Yuki Tabata, Yusuke Izuwaki, Nobuyuki Nakamori, and Yoshiki Kitsunezuka "Time-frequency analysis of neonatal cranial ultrasonic movies for selective detection of pulsatile tissues by avoiding probe-motion artifact", Proc. SPIE 9419, Medical Imaging 2015: Ultrasonic Imaging and Tomography, 941913 (17 March 2015); https://doi.org/10.1117/12.2081383
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KEYWORDS
Ultrasonics

Tissues

Time-frequency analysis

Visualization

Arteries

Brain

Feature extraction

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