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首页> 外文会议>SPIE Conference on Ultrasonic Imaging and Tomography >Time-frequency analysis of neonatal cranial ultrasonic movies for selective detection of pulsatile tissues by avoiding probe-motion artifact
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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：新生儿颅上超声电影的时频分析，避免探针动作术语选择性检测脉动组织

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In order to detect the pulsatile tissues in neonatal cranial ultrasonic movies by avoiding probe-motion artifact, a timefrequency analysis has been performed in several movie fragments at typical three scenes: (a) a brain-lost, (b) a braincaptured 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 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 Etot was found at the brainlost 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 Etot 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：为了通过避免探测动作检测新生儿颅上超声电影中的脉动组织，在典型的三场场景中的几个电影片段中进行了时频分析：（a）脑丢失，（b）危机和探针稳定，（c）脑捕获和探针摇曳的。脉动组织是小儿诊断的关键点，已通过基于傅里叶变换的算法成功地检测，但是我们已经要求我们通过视觉观察电影手动提取探针稳定的场景。根据每个电影中的每个像素的每个像素的64个回声强度的时间变化的时间变化的功率谱，评估回声强度entot的空间均强度和总AC电力P_（Tot）。片段从在新生儿的冠状部分拍摄的实际B模式超声电影分裂。结果表明，（1）在脑制稳定场景中发现了（1）在脑制效果场景中发现了显着的低etot，并且（2）在探针稳定的场景而不是探针摇摆的场景中找到了（2）降低了P_（TOT）。这一事实强烈表明Etot和P_（TOT）是有希望的自动提取探针稳定场景的特点。它必须通过避免探针 - 运动伪影并实现整个电影档案的系统分析，这一定是有选择地检测脉动组织，这对于对缺血性疾病的回顾性研究是有用的，而且对睡眠诊断进行稳定，以稳定手法式超声波探测。

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