SICSURFIS: Spectral Imaging of Complex Surface Tomographies
In the future, one-third of the world’s cancers could be diagnosed with optical biopsy
Goal of the SICSURFIS project was to save time, money and lives.
Goal of the SICSURFIS project was to save time, money and lives.
Table of contents
Project duration
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Core fields of research
Basic natural phenomena and mathematical thinking
Research areas
Spectral Imaging Laboratory
Computational Science
Co-operation
VTT, HUS Skin and allergy hospital
Funding
Research Council of Finland
Project description
Main result
Main result of the whole consortium was non-invasive hyperspectral imaging system, which involves shape and depth data analysis by convolutional neural networks. The imager is feasible for differentiating between malignant and benign pigmented and non-pigmented skin tumours, even on complex skin surfaces.
- JYU: User interface for spectral imager
- JYU: Processing pipeline and AI method for 3D spectral data
- VTT: Further development of metallic mirror based MEMS Fabry-Perot technology (US 2022/0091471 )
- VTT: developed the Led light source and FPI based hyperspectral camera which was used in clinical studies at HUS.
- Hospital: Several pilot studies with different lesion types were conducted (including melanomas, pigmented and intradermal nevi, basal cell and squamous cell carcinomas),
- Vaasa University: FPGA processing for FPI data was developed
Main personnel
- University of Jyväskylä : Ilkka Pölönen, Leevi Annala, Anna-Maria Raita-Hakola, Sampsa Kiiskinen, Samuli Rahkonen
- HUS: Annamari Ranki, Sari Pitkänen Kirsi Isoherranen, Sari Koskenmies, Vivian Lindholm, Mari Salmivuori
- VTT: Heikki Saari, Martti Blomberg, Sari Elomaa, Harri Ojanen, Kari Rainio, Ingmar Stuns, Kristiina Rutanen and Kirsi Järvi
- Vaasa University: Jarmo Alander, Vladimir Bochko, Severi Sutinen
- Large number of assisting personnel from several HUS and JYU has also participated to the project
