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.