Multimodal imaging combining time-domain near-infrared optical tomography and continuous-wave fluorescence molecular tomography
Wuwei Ren (Universitat Zurich, University Hospital Zürich)
Jingjing Jiang (University Hospital Zürich)
Aldo Di Costanzo Mata (University Hospital Zürich)
Alexander Kalyanov (University Hospital Zürich)
Jorge Ripoll (Instituto de Investigación Sanitaria Gregorio Marañón, Carlos III University of Madrid)
Scott Lindner (École Polytechnique Fédérale de Lausanne, University Hospital Zürich, TU Delft - (OLD)Applied Quantum Architectures)
Edoardo Charbon (École Polytechnique Fédérale de Lausanne, TU Delft - OLD QCD/Charbon Lab, TU Delft - (OLD)Applied Quantum Architectures)
Chao Zhang (QN/High Resolution Electron Microscopy)
Markus Rudin (Universitat Zurich)
Martin Wolf (University Hospital Zürich)
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Abstract
Fluorescence molecular tomography (FMT) emerges as a powerful non-invasive imaging tool with the ability to resolve fluorescence signals from sources located deep in living tissues. Yet, the accuracy of FMT reconstruction depends on the deviation of the assumed optical properties from the actual values. In this work, we improved the accuracy of the initial optical properties required for FMT using a new-generation time-domain (TD) near-infrared optical tomography (NIROT) system, which effectively decouples scattering and absorption coefficients. We proposed a multimodal paradigm combining TD-NIROT and continuous-wave (CW) FMT. Both numerical simulation and experiments were performed on a heterogeneous phantom containing a fluorescent inclusion. The results demonstrate significant improvement in the FMT reconstruction by taking the NIROT-derived optical properties as prior information. The multimodal method is attractive for preclinical studies and tumor diagnostics since both functional and molecular information can be obtained.