Abstract
We introduce a new single-head multimodal optical system that integrates optical coherence tomography (OCT), 18 MHz ultrasound (US) tomography and Raman spectroscopy (RS), allowing for fast (<2 min) and noninvasive skin cancer diagnostics and lesion depth measurement. The OCT can deliver structural and depth information of smaller skin lesions (<1 mm), while the US allows to measure the penetration depth of thicker lesions (≥4 mm), and the RS analyzes the chemical composition from a small chosen spot (≤300 μm) that can be used to distinguish between benign and malignant melanoma. The RS and OCT utilize the same scanning and optical setup, allowing for co-localized measurements. The US on the other side is integrated with an acoustical reflector, which enables B-mode measurements on the same position as OCT and RS. The US B-mode scans can be translated across the sample by laterally moving the US transducer, which is made possible by the developed adapter with a flexible membrane. We present the results on custom-made liquid and agar phantoms that show the resolution and depth capabilities of the setup, as well as preliminary ex vivo measurements on mouse models with ∼4.3 mm thick melanoma.
| Original language | English |
|---|---|
| Article number | e202200129 |
| Journal | Journal of Biophotonics |
| Volume | 15 |
| Issue number | 10 |
| ISSN | 1864-063X |
| DOIs | |
| Publication status | Published - 10.2022 |
| Externally published | Yes |
Funding
Deutsche Forschungsgemeinschaft, Grant/Award Numbers: RO 3471/18‐1, EM 63/13‐1; German Research Foundation (DFG) under Germany's Excellence Strategy within the Cluster of Excellence PhoenixD, Grant/Award Number: EXC 2122, Project ID 390833453 Funding information The authors acknowledge financial support from the German Research Foundation DFG (German Research Foundation, Project ID RO 3471/18‐1 and EM 63/13‐1). Also, financial support from the German Research Foundation (DFG) under Germany's Excellence Strategy within the Cluster of Excellence PhoenixD (EXC 2122, Project ID 390833453) is acknowledged.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
DFG Research Classification Scheme
- 2.22-32 Medical Physics, Biomedical Technology
- 2.22-19 Dermatology
- 2.22-14 Hematology, Oncology
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