Non-linear multimodal imaging for disease diagnostics and treatment monitoring

Thomas Bocklitz; Michael Schmitt; Aleksandar Lukić; Sandro Heuke; Olga Chernavskaia; Tobias Meyer; Jürgen Popp

doi:10.1117/12.2275361

29 April 2017 Non-linear multimodal imaging for disease diagnostics and treatment monitoring

Thomas Bocklitz, Michael Schmitt, Aleksandar Lukić, Sandro Heuke, Olga Chernavskaia, Tobias Meyer, Jürgen Popp

Proceedings Volume 10340, International Conference on Biophotonics V; 103400F (2017) https://doi.org/10.1117/12.2275361
Event: International Conference on Biophotonics V, 2017, Perth, Australia

Abstract

Molecular imaging modalities, like multimodal imaging, e.g. the combination of coherent-anti-Stokes Raman scattering (CARS), second-harmonic generation (SHG) and two-photon-excited fluorescence (TPEF), feature a unique potential for disease diagnostics and treatment monitoring. In order to use the full potential of multi-modal imaging for diagnostic tasks powerful image analysis methods are necessary, which translate the physical measurements into medical meaningful information. This translation process requires standardization, correction procedures and statistical models like regression or classification models. With the help of these techniques medical relevant information can be extracted and used for the diagnostics of cancer or inflammation related diseases.

Citation Download Citation

Thomas Bocklitz, Michael Schmitt, Aleksandar Lukić, Sandro Heuke, Olga Chernavskaia, Tobias Meyer, and Jürgen Popp "Non-linear multimodal imaging for disease diagnostics and treatment monitoring", Proc. SPIE 10340, International Conference on Biophotonics V, 103400F (29 April 2017); https://doi.org/10.1117/12.2275361

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