MULTIMODAL FUNCTIONAL IMAGING AND DEEP LEARNING FOR CLINICAL DECISION SUPPORT
Novel functional imaging techniques provide valuable data in addition to pure geometrical imaging, which enhances accurate diagnosis/detection of tissue abnormalities and clinical decision support. Ultrasound functional imaging can quantify tissue properties but often lacks robustness and accuracy. Advancements in functional imaging techniques to assess tissue morphology and vasculature, will be achieved at both hardware (acquisition) and software level (signal/image processing), and combined with physical biomechanical models, from tissue to organ level. Deep learning techniques will be crucial to improve these acquisition and algorithm frameworks and understanding their performance under complex circumstances.