Novel ultrasonic imaging modality based on circular integral data

G. Rigaud, O. Olvera-Guerrero, M. Nguyen
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Abstract

Among all the existing imaging technologies, ultra-sound imaging is the most widely used, due to its safe, cost-effectiveness, flexible and real-time nature. However for some object configurations involving geometric restrictions, the usual point by point scanning to image an object is not performing efficiently. We propose a solution to this problem based on the use of circular integral data generated along a circular path to reconstruct the image of the object under investigation. Similar circular integral data has occurred in Thermo/Opto/Photo-acoustic tomography as well as in Synthetic Aperture Radar (SAR) imaging where circular integral data is generated along a straight line path to image a landscape on the ground. We present the mathematical background of this new imaging technique, which has an exact reconstruction formula and give comparative simulation results to demonstrate its viability.
基于圆积分数据的超声成像新模式
在现有的成像技术中,超声成像因其安全、经济、灵活、实时性等特点,应用最为广泛。然而,对于一些涉及几何限制的物体构型,通常的逐点扫描对物体进行成像的效率不高。我们提出了一种基于使用沿圆形路径生成的圆形积分数据来重建被调查对象图像的解决方案。类似的圆形积分数据也出现在热/光电/光声断层成像以及合成孔径雷达(SAR)成像中,其中圆形积分数据沿着直线路径生成,以对地面景观进行成像。本文介绍了这种新成像技术的数学背景,给出了精确的重建公式,并给出了对比仿真结果来证明其可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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