Photorealistic Depiction of Intracranial Tumors Using Cinematic Rendering of Volumetric 3T MRI Data

Acad Radiol. 2022 Oct;29(10):e211-e218. doi: 10.1016/j.acra.2021.12.017. Epub 2022 Jan 13.

Abstract

Rationale and objectives: Cinematic Rendering (CR) incorporates a complex lightning model that creates photorealistic models from isotropic 3D imaging data. The utility of CR in depicting volumetric MRI data for pre-therapeutic planning is discussed, with intracranial tumors as a demonstrative example.

Materials and methods: We present a series of Cinematically Rendered intracranial tumors and discuss their utility in multidisciplinary pre-therapeutic evaluation. Isotropic, high-resolution, volumetric MRI data was collected, and CR was performed utilizing a proprietary application, "Anatomy Education" Siemens, Munich, Germany.

Results: Discrimination of cortex to white matter, brain surface to vessels, subarachnoid space to cortex and skull to intracranial structures was achieved and optimized by using various display settings on the Anatomy education application. Progressive removal of tissue layers allowed for a comprehensive assessment of the entire region of interest. Complex, small structures were demonstrated in very high detail. The depth and architecture of the sulci was appreciated in a format that more closely mimicked gross pathology than traditional imaging modalities. With appropriate display settings, the relationship of the cortical surface to the adjacent vasculature was also delineated.

Conclusion: CR depicts the anatomic location of brain tumors in a format that depicts the relative proximity of adjacent structures in all dimensions and degrees of freedom. This allows for better conceptualization of the pathology and greater ease of communication between radiologists and other clinical teams, especially in the context of pretherapeutic planning.

Keywords: Cinematic Rendering; Intracranial tumor; Magnetic Resonance Imaging.

MeSH terms

  • Brain Neoplasms* / diagnostic imaging
  • Humans
  • Imaging, Three-Dimensional / methods
  • Magnetic Resonance Imaging
  • Radiographic Image Interpretation, Computer-Assisted* / methods
  • Tomography, X-Ray Computed / methods