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Computed tomography window blending in maxillofacial imaging

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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.

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Author information

Authors and Affiliations

  1. Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA

    Nityanand Miskin, M. Travis Caton Jr, Jeffrey P. Guenette & Jacob C. Mandell

Authors
  1. Nityanand Miskin
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  2. M. Travis Caton Jr
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  3. Jeffrey P. Guenette
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  4. Jacob C. Mandell
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Correspondence to Nityanand Miskin.

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The authors declare that they have no conflict of interest.

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Miskin, N., Travis Caton, M., Guenette, J.P. et al. Computed tomography window blending in maxillofacial imaging. Emerg Radiol 27, 57–62 (2020). https://doi.org/10.1007/s10140-019-01741-9

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  • DOI: https://doi.org/10.1007/s10140-019-01741-9

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