A motion-based approach to abdominal clutter reduction.
A motion-based approach to abdominal clutter reduction.
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DOI：
10.1109/tuffc.2009.1331
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发表时间：
2009-11
期刊：
影响因子：
--
通讯作者：
Trahey GE
中科院分区：
文献类型：
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作者：
Lediju MA;Pihl MJ;Hsu SJ;Dahl JJ;Gallippi CM;Trahey GE
在超声图像中，杂波是在无回声或低回声区域中最容易观察到的噪声伪影。它表现为弥漫性回声，覆盖具有诊断重要性的解剖结构，模糊组织边界并降低图像对比度。提出了一种用于腹部图像的新的杂波减少方法，其中在连续帧图像采集期间腹壁被移位。观察到腹壁远端的杂波区域随腹壁移动，并实施有限脉冲响应（FIR）和盲源分离（BSS）运动滤波器来减少这种杂波。建议的杂波减少方法进行了测试，在模拟和幻影数据，并适用于从2名志愿者的基本和谐波在体内膀胱和肝脏图像。结果表明，杂波减少范围从0到18 dB的FIR滤波图像和9至27 dB的BSS滤波图像。在FIR和BSS滤波图像中，对比度噪声比分别提高了21%至68%和44%至108%。对比度的改善范围为4至12 dB。该方法显示出减少其他腹部图像中的杂波的承诺。
In ultrasound images, clutter is a noise artifact most easily observed in anechoic or hypoechoic regions. It appears as diffuse echoes overlying anatomical structures of diagnostic importance, obscuring tissue borders and reducing image contrast. A novel clutter reduction method for abdominal images is proposed, wherein the abdominal wall is displaced during successive-frame image acquisitions. A region of clutter distal to the abdominal wall was observed to move with the abdominal wall, and finite impulse response (FIR) and blind source separation (BSS) motion filters were implemented to reduce this clutter. The proposed clutter reduction method was tested in simulated and phantom data and applied to fundamental and harmonic in vivo bladder and liver images from 2 volunteers. Results show clutter reductions ranging from 0 to 18 dB in FIR-filtered images and 9 to 27 dB in BSS-filtered images. The contrast-to-noise ratio was improved by 21 to 68% and 44 to 108% in FIR- and BSS-filtered images, respectively. Improvements in contrast ranged from 4 to 12 dB. The method shows promise for reducing clutter in other abdominal images.