发表机构
University of Dundee（邓迪大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究将二维环形阵列的随机频域全波形反演扩展到三维多环圆柱几何，实现乳腺声速重建，可检测毫米级肿块，为高灵敏度三维超声成像设备设计奠定基础。
AI 中文摘要
超声计算机断层扫描正成为一种有前景的诊断成像工具。二维几何结构饱受众所周知的平面外散射伪影困扰。图像重建可通过频域全波形反演实现，并可通过随机相位编码基本源来进一步加速。在本手稿中，我们将先前针对环形阵列二维几何结构的结果扩展到多环三维圆柱几何结构。具体而言，我们分别考虑了由单个阵列元件描述的基本源（准全向传输）、线源和聚焦传输的情况。尽管图像质量存在差异，我们证明了三维全随机频域反演能够在合理计算时间内重建被圆柱几何结构包围的人体乳房部分，并检测致密乳房中不同对比度的毫米级肿块，从而为设计具有高灵敏度水平的三维成像设备开辟了具体可能性。这些方法适用于三维中的多种断层成像几何结构，原则上可集成到下一代医用超声扫描仪中。
英文摘要
Ultrasound computed tomography is emerging as a promising diagnostic imaging tool. 2D geometries suffer from notorious out-of-plane scattering artifacts. Image reconstruction can be achieved with frequency-domain full waveform inversion and it can be further accelerated by randomly phase-encoding the elementary sources. In this manuscript, we extend our previous results for the 2D geometry of a ring-array to the 3D cylindrical geometry of multiple rings. In particular, we consider the cases of an elementary source described by a single array element (quasi-omni-directional transmission), a line source and a focused transmission respectively. With differences in image quality, we prove that a fully randomized frequency-domain inversion in 3D is capable to reconstruct portions of a human breast surrounded by the cylindrical geometry and detect mm-size masses of varying contrast in dense breast, in reasonable computing times, thus opening the concrete possibility to the design of 3D imaging devices with high sensitivity levels. The methods are applicable to multiple tomographic geometries in 3D and, in principle, can be integrated into next generation medical ultrasound scanners.
