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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.14803 |
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| _version_ | 1866915812860755968 |
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| author | de Tejada, Maria Rodriguez Saenz Jimenez, Alvaro Rojo, Rodrigo Contador, Sergio Aguirre, Juan |
| author_facet | de Tejada, Maria Rodriguez Saenz Jimenez, Alvaro Rojo, Rodrigo Contador, Sergio Aguirre, Juan |
| contents | Optoacoustic imaging technologies require fast and accurate signal pre-processing algorithms to enable widespread deployment in clinical and home-care settings. However, they still rely on the Discrete Fourier Transform (DFT) as the default tool for essential signal-conditioning operations, which imposes hard limits on both execution speed and signal-retrieval accuracy. Here, we present a new transform whose building blocks are directly inspired by the physics of optoacoustic signal generation. We compared its performance with the DFT and other classical transforms on common signal-processing tasks using both simulations and experimental datasets. Our results indicate that the proposed transform not only sets a new lower bound on computational complexity relative to the DFT, but also substantially outperforms classical transforms on basic signal-processing operations in terms of accuracy. We expect this transform to catalyze broader adoption of optoacoustic methods. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_14803 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A physics inspired and efficient transform for optoacoustic systems de Tejada, Maria Rodriguez Saenz Jimenez, Alvaro Rojo, Rodrigo Contador, Sergio Aguirre, Juan Medical Physics Optoacoustic imaging technologies require fast and accurate signal pre-processing algorithms to enable widespread deployment in clinical and home-care settings. However, they still rely on the Discrete Fourier Transform (DFT) as the default tool for essential signal-conditioning operations, which imposes hard limits on both execution speed and signal-retrieval accuracy. Here, we present a new transform whose building blocks are directly inspired by the physics of optoacoustic signal generation. We compared its performance with the DFT and other classical transforms on common signal-processing tasks using both simulations and experimental datasets. Our results indicate that the proposed transform not only sets a new lower bound on computational complexity relative to the DFT, but also substantially outperforms classical transforms on basic signal-processing operations in terms of accuracy. We expect this transform to catalyze broader adoption of optoacoustic methods. |
| title | A physics inspired and efficient transform for optoacoustic systems |
| topic | Medical Physics |
| url | https://arxiv.org/abs/2602.14803 |