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Real-time implementation of a novel algorithm for ultrasound freehand elastography of breast lesions

机译:乳腺病变超声徒手弹性成像的新算法的实时实现

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The classification of breast lesions represents a main concern in current senology diagnostic practice. B-mode imaging plays a major role, but the specificity is still too low, since no information on tissue stiffness is directly provided. An original freehand elastography method, based on a Fourier domain displacement estimator, has been recently proposed and proved capable of producing off-line robust estimates of phantoms elasticity. In order to permit in-vivo examinations of breast lesions, a real-time version of the proposed method has been implemented in the research scanner ULA-OP, designed at the University of Florence. In a preliminary test on patients the proposed method detected 36 lesions (11 softer, 14 harder and 11 having the same elasticity than the surrounding tissue). The same lesions were classified as malignant (5) and benign (31) by an experienced sonographer through B-mode analysis.
机译:乳腺病变的分类代表了当前的病理学诊断实践中的主要关注点。 B模式成像起着主要作用,但是特异性仍然太低,因为没有直接提供有关组织硬度的信息。最近提出了一种基于傅立叶域位移估计器的原始徒手弹性成像方法,并证明了该方法能够对模型弹性进行离线鲁棒估计。为了允许对乳房病变进行活体检查,已在佛罗伦萨大学设计的研究扫描仪ULA-OP中实施了该方法的实时版本。在对患者的初步测试中,建议的方法检测到36个病变(较周围组织软11个,较硬14个,弹性11个)。经验丰富的超声医师通过B型分析将相同的病变分为恶性(5)和良性(31)。

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