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