Compressive Sensing Photoacoustic Imaging Receiver with Matrix-Vector-Multiplication SAR ADC
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arXiv
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| Natura: | Preprint |
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2025
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| author | Liao, Huan-Cheng Zhang, Shunyao Su, Yumin Govinday, Arvind Zou, Yiwei Wang, Wei Boominathan, Vivek Veeraraghavan, Ashok Li, Lei S. Yang, Kaiyuan |
| author_facet | Liao, Huan-Cheng Zhang, Shunyao Su, Yumin Govinday, Arvind Zou, Yiwei Wang, Wei Boominathan, Vivek Veeraraghavan, Ashok Li, Lei S. Yang, Kaiyuan |
| contents | Wearable photoacoustic imaging devices hold great promise for continuous health monitoring and point-of-care diagnostics. However, the large data volume generated by high-density transducer arrays presents a major challenge for realizing compact and power-efficient wearable systems. This paper presents a photoacoustic imaging receiver (RX) that embeds compressive sensing directly into the hardware to address this bottleneck. The RX integrates 16 AFEs and four matrix-vector-multiplication (MVM) SAR ADCs that perform energy- and area-efficient analog-domain compression. The architecture achieves a 4-8x reduction in output data rate while preserving low-loss full-array information. The MVM SAR ADC executes passive and accurate MVM using user-defined programmable ternary weights. Two signal reconstruction methods are implemented: (1) an optimization approach using the fast iterative shrinkage-thresholding algorithm, and (2) a learning-based approach employing implicit neural representation. Fabricated in 65 nm CMOS, the chip achieves an ADC's SNDR of 57.5 dB at 20.41 MS/s, with an AFE input-referred noise of 3.5 nV/sqrt(Hz). MVM linearity measurements show R^2 > 0.999 across a wide range of weights and input amplitudes. The system is validated through phantom imaging experiments, demonstrating high-fidelity image reconstruction under up to 8x compression. The RX consumes 5.83 mW/channel and supports a general ternary-weighted measurement matrix, offering a compelling solution for next-generation miniaturized, wearable PA imaging systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_06580 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Compressive Sensing Photoacoustic Imaging Receiver with Matrix-Vector-Multiplication SAR ADC Liao, Huan-Cheng Zhang, Shunyao Su, Yumin Govinday, Arvind Zou, Yiwei Wang, Wei Boominathan, Vivek Veeraraghavan, Ashok Li, Lei S. Yang, Kaiyuan Image and Video Processing Wearable photoacoustic imaging devices hold great promise for continuous health monitoring and point-of-care diagnostics. However, the large data volume generated by high-density transducer arrays presents a major challenge for realizing compact and power-efficient wearable systems. This paper presents a photoacoustic imaging receiver (RX) that embeds compressive sensing directly into the hardware to address this bottleneck. The RX integrates 16 AFEs and four matrix-vector-multiplication (MVM) SAR ADCs that perform energy- and area-efficient analog-domain compression. The architecture achieves a 4-8x reduction in output data rate while preserving low-loss full-array information. The MVM SAR ADC executes passive and accurate MVM using user-defined programmable ternary weights. Two signal reconstruction methods are implemented: (1) an optimization approach using the fast iterative shrinkage-thresholding algorithm, and (2) a learning-based approach employing implicit neural representation. Fabricated in 65 nm CMOS, the chip achieves an ADC's SNDR of 57.5 dB at 20.41 MS/s, with an AFE input-referred noise of 3.5 nV/sqrt(Hz). MVM linearity measurements show R^2 > 0.999 across a wide range of weights and input amplitudes. The system is validated through phantom imaging experiments, demonstrating high-fidelity image reconstruction under up to 8x compression. The RX consumes 5.83 mW/channel and supports a general ternary-weighted measurement matrix, offering a compelling solution for next-generation miniaturized, wearable PA imaging systems. |
| title | Compressive Sensing Photoacoustic Imaging Receiver with Matrix-Vector-Multiplication SAR ADC |
| topic | Image and Video Processing |
| url | https://arxiv.org/abs/2511.06580 |