用无线电波实现毫米级骨骼成像，突破传统无线感知分辨率瓶颈。
Towards Seeing Bones at Radio Frequency
- 提出基于穿透性的合成孔径算法，提升射频成像分辨率。
- 在肉质模型上实现从分米级到厘米级的成像精度飞跃。
- 适合无线医疗成像、无创检测等需要深层组织感知的场景。
无线传感领域长期追求在射频下实现类似X光的视觉效果，但现有技术尚未生成典型的骨骼影像——即皮下骨骼的清晰图像。本文提出MCT系统，一种基于穿透性的射频成像方案，可实现毫米级分辨率，显著超越以往穿透式射频成像水平。由于射频在组织中传播时存在波长过长、显著衰减及复杂衍射等问题，导致成像分辨率通常仅为几厘米。为此，我们设计了一种新型穿透性合成孔径算法，并结合学习型流程以校正衍射引起的伪影。对肉质模型的详细评估显示，该系统将穿透成像分辨率从亚分米级提升至亚厘米级，优于现有方法。
原文摘要 · Abstract (English)
Wireless sensing literature has long aspired to achieve X-ray-like vision at radio frequencies. Yet, state-of-the-art wireless sensing literature has yet to generate the archetypal X-ray image: one of the bones beneath flesh. In this paper, we explore MCT, a penetration-based RF-imaging system for imaging bones at mm-resolution, one that significantly exceeds prior penetration-based RF imaging literature. Indeed the long wavelength, significant attenuation and complex diffraction that occur as RF propagates through flesh, have long limited imaging resolution (to several centimeters at best). We address these concerns through a novel penetration-based synthetic aperture algorithm, coupled with a learning-based pipeline to correct for diffraction-induced artifacts. A detailed evaluation of meat models demonstrates a resolution improvement from sub-decimeter to sub-centimeter over prior art in RF penetrative imaging.
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