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Time-frequency analysis of neonatal cranial ultrasonic movies for selective detection of pulsatile tissues by avoiding probe-motion artifact

机译:避免探测运动伪影的新生儿颅部超声电影的时频分析,用于选择性检测搏动组织

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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 E_(tot) and a total AC power P_(tot) 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 E_(tot) was found at the brain-lost scene rather than that at the other scenes, and (2) lower P_(tot) was found at the probe-stabilized scene rather than the probe-swayed ones. This fact strongly suggests that the E_(tot) and P_(tot) 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.
机译:为了通过避免探针运动伪影来检测新生儿颅部超声电影中的搏动组织,已在典型的三个场景中对多个电影片段进行了时频分析:(a)失脑,(b)失脑捕获并稳定探头,(c)捕获并摇摆探头。脉动组织是小儿诊断的关键点,已经成功地通过基于傅立叶变换的算法进行了检测,但是它要求我们通过肉眼观察电影来手动提取探头稳定的场景。根据每个像素上64个回波强度样本随时间变化的功率谱,评估了扇形视场上的回波强度的空间均方根E_(tot)和总交流功率P_(tot)在每个电影片段中,它们都是从新生儿的冠状部分拍摄的实际B型超声电影中分离出来的。结果显示:(1)在失脑的场景而不是其他场景发现了较低的E_(tot),(2)在探针稳定的场景而不是在探针稳定的场景中发现了较低的P_(tot)摇摆的。这个事实强烈表明,E_(tot)和P_(tot)是自动提取探针稳定场景的有前途的功能。它必须通过避免探测运动伪像来选择性地检测脉动组织,并实现对我们大量电影资料的系统分析,这不仅对缺血性疾病的回顾性研究有用,而且对于稳定超声的床边诊断也很有用探测。

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