Computed tomography window blending in maxillofacial imaging

Emerg Radiol. 2020 Feb;27(1):57-62. doi: 10.1007/s10140-019-01741-9. Epub 2019 Nov 12.


Purpose: The purpose of this study was to demonstrate the ability of a custom window blending algorithm to depict multicompartmental disease processes of the maxillofacial region in a single image, using routine computed tomography (CT) DICOM data.

Methods: Five cases were selected from case files demonstrating trauma, infection, and malignancy of the maxillofacial region on routine CT examinations. Images were processed with a modified Relative Attenuation-Dependent Image Overlay (RADIO) window-blending algorithm in Adobe Photoshop controlled by ExtendScript.

Results: The modified RADIO algorithm was able to demonstrate pertinent multicompartmental imaging findings in each of the examinations, allowing simultaneous visualization of clinically relevant bone and soft tissue findings in a single image, without needing to change window and level settings.

Conclusion: A custom window blending algorithm can demonstrate a range of multicompartmental pathology in the maxillofacial region in a single image.

Keywords: Computed tomography; Maxillofacial infection; Maxillofacial malignancy; Maxillofacial trauma; Window blending.

Publication types

  • Case Reports

MeSH terms

  • Adult
  • Aged, 80 and over
  • Algorithms*
  • Carcinoma, Squamous Cell / diagnostic imaging
  • Facial Injuries / diagnostic imaging*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Osteosarcoma / diagnostic imaging
  • Radiographic Image Interpretation, Computer-Assisted / methods*
  • Skull Neoplasms / diagnostic imaging*
  • Tomography, X-Ray Computed*
  • Toothache / diagnostic imaging*