This exhibit will focus on the incremental value of Cinematic Rendering (CR) for the evaluation of known or suspected liver tumors. We will review some of the basics of CR as it applies to the liver including the optimization of scan protocols, the role and use of CR presets to optimize workflow and lesion detection, as well as the role of CR in lesion characterization and staging. We will define the potential advantages of CR in lesion characterization and help define the "fingerprints" of various liver tumor. The role of CR in vascular mapping for tumor staging and potential therapy will also be addressed. Finally future directions lincuding augmented reality with HoloLens will be discussed and preliminary observations illustrated. The user in the end will have a fuller understanding of the role of CR in the evaluation of liver masses.

the presentation will include;1. principles of CR s directed toward the liver ad liver masses2. optimizing CT data acquisition for CR imaging3. how to create optimal CR images for a range of liver tumors as well as how to create vascular maps for these tumors4. review of the "fingerprints" for various benign (hemangioma, FNH)and malignant (hepatoma, cholangiocarcinoma, hepatic adenoma, metastases) hepatic masses.5. how to create a effecient workflow for CR imaging6. role of CR and MIP and VRT in the evaluation of complex hepatic pathology7. potential improvements in image visualization using augmented reality (HoloLens)8. future directions including the role of AI