1. A method for detecting a feature of interest in a vascular image, the method comprising: receiving information from a first imaging modality and transforming information from the first imaging modality into a first coordinate space, wherein the first imaging modality comprises an intravascular imaging modality associated with an intravascular device positioned within a vessel of a patient; receiving information from a second imaging modality and transforming information from the second imaging modality into a second coordinate space, the second imaging modality comprising at least one of ultrasound, photoacoustic imaging, virtual histology intravascular ultrasound (VH-IVUS), optical coherence tomography (OCT), x-ray angiography, fluoroscopy, or magnetic resonance imaging (MRI); aligning the first coordinate space and the second coordinate space, thereby combining information from the first imaging modality and the second imaging modality into a combined data set; and detecting a feature of interest in a vascular image based on the combined data set, wherein detection of a feature of interest comprises training an algorithm to detect the feature of interest based on the combined data set and initializing a search for the feature of interest based on the combined data set.