AUTHOR=Vega Jorge D. , Hara Daiki , Schmidt Ryder M. , Abuhaija Marwan B. , Tao Wensi , Dogan Nesrin , Pollack Alan , Ford John C. , Shi Junwei TITLE=In vivo active-targeting fluorescence molecular imaging with adaptive background fluorescence subtraction JOURNAL=Frontiers in Oncology VOLUME=13 YEAR=2023 URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2023.1130155 DOI=10.3389/fonc.2023.1130155 ISSN=2234-943X ABSTRACT=
Using active tumor-targeting nanoparticles, fluorescence imaging can provide highly sensitive and specific tumor detection, and precisely guide radiation in translational radiotherapy study. However, the inevitable presence of non-specific nanoparticle uptake throughout the body can result in high levels of heterogeneous background fluorescence, which limits the detection sensitivity of fluorescence imaging and further complicates the early detection of small cancers. In this study, background fluorescence emanating from the baseline fluorophores was estimated from the distribution of excitation light transmitting through tissues, by using linear mean square error estimation. An adaptive masked-based background subtraction strategy was then implemented to selectively refine the background fluorescence subtraction. First, an