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3D spatial compounding of ultrasound images using image-based nonrigid registration.

机译:超声图像的3D空间合成使用基于图像的非刚性配准。

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摘要

Medical ultrasound images are often distorted enough to significantly limit resolution during compounding (i.e., summation of images from multiple views). A new, volumetric image registration technique has been used successfully to enable high spatial resolution in three-dimensional (3D) spatial compounding of ultrasound images. Volumetric ultrasound data were acquired by scanning a linear matrix array probe in the elevational direction in a focal lesion phantom and in a breast in vivo. To obtain partly uncorrelated views, the volume of interest was scanned at five different transducer tilt angles separated by 4 degrees to 6 degrees. Pairs of separate views were registered by an automatic procedure based on a mutual information metric, using global full affine and thin-plate spline warping transformations. Registration accuracy was analyzed automatically in the phantom data, and manually in vivo, yielding average registration errors of 0.31 mm and 0.65 mm, respectively. In the vicinity of the warping control points, registrations obtained with warping transformations were significantly more accurate than full affine registrations. Compounded images displayed the expected reduction in speckle noise and increase in contrast-to-noise ratio (CNR), as well as better delineation of connective tissues and reduced shadowing. Compounding also revealed some apparent low contrast lobulations that were not visible in the single-sweep images. Given expected algorithmic and hardware enhancements, nonrigid, image-based registration shows great promise for reducing tissue motion and refraction artifacts in 3D spatial compounding.
机译:医学超声图像通常会畸变到足以严重限制合成期间的分辨率(即,来自多个视图的图像求和)。一种新的体积图像配准技术已成功用于在超声图像的三维(3D)空间合成中实现高空间分辨率。通过在病灶体模中和在体内乳房中沿高度方向扫描线性矩阵阵列探针来获取体积超声数据。为了获得部分不相关的视图,在五个不同的换能器倾斜角(相隔4度到6度)下扫描感兴趣的体积。使用全局完全仿射和薄板样条曲线变形,通过基于互信息量的自动过程来注册成对的独立视图。在幻象数据中自动分析配准精度,在体内手动分析配准精度,分别产生0.31 mm和0.65 mm的平均配准误差。在翘曲控制点附近,通过翘曲变换获得的配准比完全仿射配准更准确。复合图像显示出预期的斑点噪声减少和对比度-噪声比(CNR)的增加,以及结缔组织的更好描绘和减少的阴影。复合还显示了一些明显的低对比度叶,这些在单扫描图像中不可见。给定预期的算法和硬件增强功能,基于图像的非刚性配准显示出在3D空间复合中减少组织运动和折射伪影的巨大希望。

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