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J Digit Imaging. 2017 Jun;30(3):358-368. doi: 10.1007/s10278-017-9941-1.

Clinical Applications of a CT Window Blending Algorithm: RADIO (Relative Attenuation-Dependent Image Overlay).

Author information

1
Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. jmandell@partners.org.
2
Division of Emergency Radiology, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
3
Radiology and Imaging Sciences, NIH Clinical Center, Bethesda, USA.
4
Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
5
Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
6
Center for Evidence Based Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
7
Divisions of Thoracic Imaging and Abdominal Imaging and Intervention, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Abstract

A methodology is described using Adobe Photoshop and Adobe Extendscript to process DICOM images with a Relative Attenuation-Dependent Image Overlay (RADIO) algorithm to visualize the full dynamic range of CT in one view, without requiring a change in window and level settings. The potential clinical uses for such an algorithm are described in a pictorial overview, including applications in emergency radiology, oncologic imaging, and nuclear medicine and molecular imaging.

KEYWORDS:

CT dynamic range; CT window settings; Contrast sensitivity; Grayscale visualization

PMID:
28097498
PMCID:
PMC5422232
DOI:
10.1007/s10278-017-9941-1
[Indexed for MEDLINE]
Free PMC Article

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