A Spatial-Domain Compressive-Sensing Photoacoustic Imager with Matrix-Multiplying SAR ADC

📋 论文概要

该论文提出了一种用于可穿戴/植入式生物医学成像的空间域压缩感知光声成像器，集成了矩阵乘法SAR ADC，实现了实时、长期监测。解决了传统光声成像系统体积大、功耗高、数据量大等问题。

💡 主要创新点

• 提出空间域压缩感知方法，减少采样数据量，降低系统功耗和带宽需求。
• 设计矩阵乘法SAR ADC，直接在模拟域完成压缩感知的矩阵乘法运算，提高能效。
• 面向可穿戴/植入式应用，实现小型化、低功耗的实时光声成像。

🏷 关键词

📄 原文摘要

technologies promise a paradigm shift to preventive, proactive, and accessible health care. Real-time and long-term imaging offers unprecedented insights into one’s body conditions, enabling constant monitoring of highrisk patients (e.g., cardiovascular [1] and musculoskeletal [2]), tracking fetal development

👥 作者与机构

Huan-Cheng Liao*, Shunyao Zhang*, Yumin Su, Arvind Govinday, Yiwei Zou,

Wei Wang, Vivek Boominathan, Ashok Veeraraghavan, Lei Li, Kaiyuan Yang Rice University, Houston, TX *Equally Credited Authors (ECAs) Wearable deep-tissue imaging