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Three-dimensional Ultrasound Elasticity Imaging on an Automated Breast Volume Scanning System

机译:三维超声弹性成像在自动胸部扫描系统上

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Ultrasound elasticity imaging has demonstrated utility in breast imaging, but it is typically performed with handheld transducers and two-dimensional imaging. Two-dimensional (2D) elastography images tissue stiffness of only a plane and hence suffers from errors due to out-of-plane motion, whereas three-dimensional (3D) data acquisition and motion tracking can be used to track out-of-plane motion that is lost in 2D elastography systems. A commercially available automated breast volume scanning system that acquires 3D ultrasound data with precisely controlled elevational movement of the 1D array ultrasound transducer was employed in this study. A hybrid guided 3D motion-tracking algorithm was developed that first estimated the displacements in one plane using a modified quality-guided search method, and then performed an elevational guided-search for displacement estimation in adjacent planes. To assess the performance of the method, 3D radiofrequency echo data were acquired with this system from a phantom and from an in vivo human breast. For both experiments, the axial displacement fields were smooth and high cross-correlation coefficients were obtained in most of the tracking region. The motion-tracking performance of the new method was compared with a correlation-based exhaustive-search method. For all motion-tracking volume pairs, the average motion-compensated cross-correlation values obtained by the guided-search motion-tracking method were equivalent to those by the exhaustive-search method, and the computation time was about a factor of 10 lesser. Therefore, the proposed 3D ultrasound elasticity imaging method was a more efficient approach to produce a high quality of 3D ultrasound strain image.
机译:超声弹性成像在乳房成像中证明了效用,但通常用手持式换能器和二维成像进行。二维(2D)弹性造影图像仅平面的组织刚度,因此由于平面外运动而遭受误差,而三维(3D)数据采集和运动跟踪可用于跟踪平面外在2D弹性摄影系统中丢失的运动。本研究采用了一种商业上可获得的自动乳房容量扫描系统,其获得具有1D阵列超声换能器的精确控制的高度运动的3D超声数据。开发了一种混合引导的3D运动跟踪算法,其首先使用修改的质量引导的搜索方法估计一个平面中的位移,然后在相邻平面中执行了对位移估计的正视导向搜索。为了评估该方法的性能,通过来自幻像和体内人类乳房的该系统获取3D射频回波数据。对于两个实验,轴向位移场是平滑的,在大多数跟踪区域中获得高互相关系数。将新方法的运动跟踪性能与基于相关的穷举搜索方法进行了比较。对于所有运动跟踪体积对,通过引导 - 搜索运动跟踪方法获得的平均运动补偿互相关值等同于通过穷举搜索方法的那些,并且计算时间大约为10倍。因此,所提出的3D超声弹性成像方法是一种更有效的方法来产生高质量的3D超声菌株图像。

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