Constrained and Regularized Quantitative Ultrasound Parameter Estimation using ADMM
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arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866917227864784896 |
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| author | Tehrani, Ali K. Z. Rivaz, Hassan Rosado-Mendez, Ivan M. |
| author_facet | Tehrani, Ali K. Z. Rivaz, Hassan Rosado-Mendez, Ivan M. |
| contents | Regularized estimation of quantitative ultrasound (QUS) parameters, such as attenuation and backscatter coefficients, has gained research interest. Recently, the alternating direction method of multipliers (ADMM) has been applied successfully to estimate these parameters, by utilizing L2 and L1 norms for attenuation and backscatter coefficient regularization, respectively. While this method improves upon previous approaches, it does not fully leverage the prior knowledge of minimum physically feasible parameter values, sometimes yielding values outside the realistic range. This work addresses this limitation by incorporating minimum QUS parameter values as constraints to enhance ADMM estimation. The proposed method is validated using experimental phantom data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_04109 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Constrained and Regularized Quantitative Ultrasound Parameter Estimation using ADMM Tehrani, Ali K. Z. Rivaz, Hassan Rosado-Mendez, Ivan M. Signal Processing Regularized estimation of quantitative ultrasound (QUS) parameters, such as attenuation and backscatter coefficients, has gained research interest. Recently, the alternating direction method of multipliers (ADMM) has been applied successfully to estimate these parameters, by utilizing L2 and L1 norms for attenuation and backscatter coefficient regularization, respectively. While this method improves upon previous approaches, it does not fully leverage the prior knowledge of minimum physically feasible parameter values, sometimes yielding values outside the realistic range. This work addresses this limitation by incorporating minimum QUS parameter values as constraints to enhance ADMM estimation. The proposed method is validated using experimental phantom data. |
| title | Constrained and Regularized Quantitative Ultrasound Parameter Estimation using ADMM |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2501.04109 |