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激光超声成像的图像重建算法:单传感器扫描合成孔径聚焦技术。

Image reconstruction algorithm for laser-induced ultrasonic imaging: The single sensor scanning synthetic aperture focusing technique.

机构信息

División de Ciencias e Ingenierías, Universidad de Guanajuato. Loma del Bosque 103, Lomas del Composter, C. P. 37150, León, Guanajuato, Mexico.

Department of Medical Pharmacology and Physiology and Dalton Cardiovascular Research Center, University of Missouri-Columbia. 134 Research Park Drive Rd., Columbia, Missouri 65211, USA.

出版信息

J Acoust Soc Am. 2023 Jan;153(1):560. doi: 10.1121/10.0016996.

Abstract

This paper aims to implement a laser-induced ultrasound imaging reconstruction method based on the delay-and-sum beamforming through the synthetic aperture focusing technique (SAFT) for a circular scanning, performed with a tomograph that had one acoustic sensor and a system that rotates the sample around a fixed axis. The proposed method, called the Single-sensor Scanning Synthetic Aperture Focusing Technique, considers the size of the sensor and the detection procedure inside the SAFT's algebra. This image reconstruction method was evaluated numerically, using the Green function for the laser-induced ultrasound wave equation to generate a forward problem, and experimentally, using a solid object of polylactic acid, and a Sprague-Dawley rat heart located in a tissue-mimicking phantom. The resulting images were compared to those obtained from the time reversal and the conventional delay-and-sum reconstruction algorithms. The presented method removes the sidelobe artifacts and the comet tail sign, which produces a more distinguishable target on the image. In addition, the proposed method has a faster performance and lower computational load. The implementation of this method in photoacoustic microscopy techniques for image reconstruction is discussed.

摘要

本文旨在通过合成孔径聚焦技术(SAFT)中的延迟求和波束形成来实现一种基于圆形扫描的激光超声成像重建方法,该方法使用一个声学传感器的层析成像仪和一个围绕固定轴旋转样品的系统。所提出的方法称为单传感器扫描合成孔径聚焦技术,它考虑了传感器的尺寸和 SAFT 代数内部的检测过程。该图像重建方法通过使用激光超声波动方程的格林函数生成正问题进行数值评估,并使用位于组织模拟体模中的聚乳酸固体物体和 Sprague-Dawley 大鼠心脏进行实验评估。将得到的图像与时间反转和传统的延迟求和重建算法得到的图像进行比较。所提出的方法消除了旁瓣伪影和彗尾伪影,从而在图像上产生了更可区分的目标。此外,该方法具有更快的性能和更低的计算负载。讨论了在光声显微镜技术中实现该方法进行图像重建的问题。

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