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

Computed tomography window blending in maxillofacial imaging.

Author information

1
Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA. nmiskin@bwh.harvard.edu.
2
Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.

Abstract

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

PMID:
31713777
DOI:
10.1007/s10140-019-01741-9

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