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

3D spatial compounding of ultrasound images using image-based nonrigid registration
复制标题

DOI:
10.1016/s0301-5629(00)00286-6
复制
发表时间:
2000-11-01
影响因子:
2.9
通讯作者:
Carson, PL
Carson, PL
中科院分区:
医学3区
文献类型:
--
作者:
Krücker, JF;Meyer, CR;Carson, PL

文献摘要

被引文献

相似文献

医学超声图像经常失真到足以显著限制复合期间的分辨率(即,来自多个视图的图像的总和)。一种新的体积图像配准技术已经成功地用于实现超声图像的三维(3D)空间复合中的高空间分辨率。体积超声数据采集通过扫描线性矩阵阵列探头在海拔方向上的局灶性病变体模和体外乳房。为了获得部分不相关的视图,在间隔4度至6度的五个不同的换能器倾斜角度下扫描感兴趣的体积。对单独的意见注册的一个自动程序的基础上的互信息度量,使用全球全仿射和薄板样条翘曲变换。在体模数据中自动分析配准精度,并在体内手动分析,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,用翘曲变换获得的配准比完全仿射配准更准确。复合图像显示斑点噪声的预期减少和对比度噪声比(CNR)的增加,以及更好地描绘结缔组织和减少阴影。复合还显示了一些明显的低对比度分叶,在单次扫描图像中不可见。考虑到预期的算法和硬件增强,非刚性的,基于图像的配准显示出很大的希望,减少组织运动和折射伪影在3D空间复合。(C)2001年世界医学和生物学超声联合会。
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 vitro. 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. (C) 2001 World Federation for Ultrasound in Medicine & Biology.