Presentation
13 March 2024 Comprehensive tumor profiling and automated image segmentation for precision mapping in multispectral optoacoustic tomography
Author Affiliations +
Abstract
Non-melanoma skin cancers (NMSC) pose challenges with current clinical approaches. In this context, Multispectral Optoacoustic Tomography (MSOT) offers a promising non-invasive imaging solution. With high isotropic resolution and contrast-enhanced capabilities, MSOT provides a 3D tumor map by resolving melanin and haemoglobin signals. Our feature extraction and automated level-set image segmentation algorithm enables tumor profiling and precise boundary delineation of width, depth, and volume. Validated against histology, these metrics aid preoperative tumor mapping and surgical planning as it fosters a comprehensive understanding of tumor morphology and metabolic activities. Thus, clinicians can optimize NMSC management, revolutionizing diagnostics and treatment for improved patient outcomes.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Valerie Teo Xinhui, Li Xiuting, Amalina Binte Ebrahim Attia, Sai Yee Chuah, Kwa Cheng Yi, Tan Wan Ling, Bi Renzhe, Dinish U.S, Steven Thng Tien Guan, and Malini Olivo "Comprehensive tumor profiling and automated image segmentation for precision mapping in multispectral optoacoustic tomography", Proc. SPIE PC12816, Photonics in Dermatology and Plastic Surgery 2024, PC1281609 (13 March 2024); https://doi.org/10.1117/12.3002139
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KEYWORDS
Tumors

Image segmentation

Optoacoustics

Tomography

Tissues

Optical imaging

Signal intensity

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