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

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.

[1]  Les R. Folio.  Combat Radiology: Diagnostic Imaging of Blast and Ballistic Injuries , 2010 .

[2]  Axel Jacobs,et al.  High Dynamic Range Imaging and its Application in Building Research , 2007 .

[3]  Binh Nguyen,et al.  Extreme Compression for Extreme Conditions: Pilot Study to Identify Optimal Compression of CT Images Using MPEG-4 Video Compression , 2012, Journal of Digital Imaging.

[4]  Ronald D. Caruso,et al.  Image Annotation with Adobe Photoshop , 2002, Journal of Digital Imaging.

[5]  Leo P Lawler,et al.  A five-step approach to digital image manipulation for the radiologist. , 2002, Radiographics : a review publication of the Radiological Society of North America, Inc.

[6]  Michele Larobina,et al.  Medical Image File Formats , 2014, Journal of Digital Imaging.

[7]  Ronald D Caruso,et al.  Image editing with Adobe Photoshop 6.0. , 2002, Radiographics : a review publication of the Radiological Society of North America, Inc.

[8]  Javier Hernández-Andrés,et al.  Adaptive exposure estimation for high dynamic range imaging applied to natural scenes and daylight skies. , 2015, Applied optics.

[9]  L. Fayad,et al.  Chest CT window settings with multiscale adaptive histogram equalization: pilot study. , 2002, Radiology.

[10]  Michael H Lev,et al.  Blast Injuries: From Improvised Explosive Device Blasts to the Boston Marathon Bombing. , 2016, Radiographics : a review publication of the Radiological Society of North America, Inc.

[11]  J. L. Lehr,et al.  Histogram equalization of CT images. , 1985, Radiology.

[12]  Dong-Hwan Har,et al.  Technical Report on Semiautomatic Segmentation Using the Adobe Photoshop , 2005, Journal of Digital Imaging.

[13]  I. Steiner,et al.  Non-linear CT windows. , 1987, Computerized radiology : official journal of the Computerized Tomography Society.

[14]  P G Herman,et al.  Comparison of Fixed and Adjustable Window Width and Level Settings in the CT Evaluation of Diffuse Lung Disease , 1993, Journal of computer assisted tomography.

[15]  S. Pizer,et al.  Adaptive grey level assignment in CT scan display. , 1984, Journal of computer assisted tomography.

[16]  K M Harris,et al.  The effect on apparent size of simulated pulmonary nodules of using three standard CT window settings. , 1993, Clinical radiology.

[17]  Tom Kimpe,et al.  Increasing the Number of Gray Shades in Medical Display Systems—How Much is Enough? , 2007, Journal of Digital Imaging.