The present disclosure relates to systems and methods for continuously detecting, and optionally classifying, abnormal
perfusion patterns in tissue by means of
fluorescence imaging. One embodiment relates to a computer implemented method for detecting (and / or identifying) one or more areas having an abnormal
perfusion pattern in tissue of a subject, for example during a
medical procedure, the method comprising the steps of: continuously acquiring
fluorescence images of the tissue, wherein the
fluorescence images are associated with a fluorescent output
signal correlated with an input
signal defined by a series of boluses of at least one
fluorescent imaging agent, and wherein the series of boluses is administered with a predefined and / or controlled duration between subsequent boluses, analysing the fluorescence images, identifying at least one tissue area with normal
perfusion, defining a normal perfusion pattern (in an intensity domain and) in a
time domain, and detecting, in the fluorescence images, possible tissue areas with abnormal (non-normal) perfusion pattern.