A microwave super-resolution imaging approach towards breast cancer margin mapping
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arXiv
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| Autori principali: | , , , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866913057865728000 |
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| author | Penketh, Harry Saxena, Sonal Mrnka, Michal Gallagher, Cameron P. Lloyd, Caitlin Garg, Diksha Lawrence, Christopher R. Grant, Nicholas E. Murphy, John D. Phillips, David B. Hooper, Ian R. Stone, Nick Hendry, Euan |
| author_facet | Penketh, Harry Saxena, Sonal Mrnka, Michal Gallagher, Cameron P. Lloyd, Caitlin Garg, Diksha Lawrence, Christopher R. Grant, Nicholas E. Murphy, John D. Phillips, David B. Hooper, Ian R. Stone, Nick Hendry, Euan |
| contents | Accurate characterisation of margins in excised breast cancer tumours is critical to the success of surgical interventions, yet margin status is typically confirmed post-operatively using histopathology. Here we present a new approach to intraoperative margin assessment based on microwave single pixel imaging, demonstrating tissue phantom hydration mapping across large areas (~10 cm x 10 cm) at ~1 mm resolution. By leveraging the photo-induced change in microwave transparency of a silicon modulator placed under the sample, we map the microwave reflectivity and identify positive margins with deeply sub-wavelength resolution. We test the discriminatory capabilities of our approach using gelatine-based tumour phantoms with variations in water density representative of the margin and cancerous tissues of a resected tumour. We demonstrate the capability to identify, locate and quantify inadequate margins up to the typically targeted minimum thickness of 2 mm. Furthermore, using numerical modelling, we show that our approach is expected to be resilient to patient-specific tissue differences. Our technique has potential for future deployment as a real-time intraoperative tissue margin analysis tool. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_21636 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A microwave super-resolution imaging approach towards breast cancer margin mapping Penketh, Harry Saxena, Sonal Mrnka, Michal Gallagher, Cameron P. Lloyd, Caitlin Garg, Diksha Lawrence, Christopher R. Grant, Nicholas E. Murphy, John D. Phillips, David B. Hooper, Ian R. Stone, Nick Hendry, Euan Optics Image and Video Processing Medical Physics Accurate characterisation of margins in excised breast cancer tumours is critical to the success of surgical interventions, yet margin status is typically confirmed post-operatively using histopathology. Here we present a new approach to intraoperative margin assessment based on microwave single pixel imaging, demonstrating tissue phantom hydration mapping across large areas (~10 cm x 10 cm) at ~1 mm resolution. By leveraging the photo-induced change in microwave transparency of a silicon modulator placed under the sample, we map the microwave reflectivity and identify positive margins with deeply sub-wavelength resolution. We test the discriminatory capabilities of our approach using gelatine-based tumour phantoms with variations in water density representative of the margin and cancerous tissues of a resected tumour. We demonstrate the capability to identify, locate and quantify inadequate margins up to the typically targeted minimum thickness of 2 mm. Furthermore, using numerical modelling, we show that our approach is expected to be resilient to patient-specific tissue differences. Our technique has potential for future deployment as a real-time intraoperative tissue margin analysis tool. |
| title | A microwave super-resolution imaging approach towards breast cancer margin mapping |
| topic | Optics Image and Video Processing Medical Physics |
| url | https://arxiv.org/abs/2604.21636 |