Interpretation of the rainbow color scale for quantitative medical imaging: perceptually linear color calibration (CSDF) versus DICOM GSDF

2017 ◽  
Author(s):  
Frédérique Chesterman ◽  
Hannah Manssens ◽  
Céline Morel ◽  
Guillaume Serrell ◽  
Bastian Piepers ◽  
...  
Keyword(s):  
Medical Imaging ◽  
Color Calibration ◽  
Color Scale ◽  
Rainbow Color

Introduction to Medical Imaging

2009 ◽  
Author(s):  
Nadine Barrie Smith ◽  
Andrew Webb
Keyword(s):  
Medical Imaging

THE ROLE OF SUPERCONDUCTING MAGNETS IN NMR MEDICAL IMAGING

1984 ◽  
Vol 45 (C1) ◽  
pp. C1-685-C1-690
Author(s):  
M. A. Green ◽  
J. R. Singer
Keyword(s):  
Medical Imaging ◽  
Superconducting Magnets

“Nora Imaging”: A Web-Based Platform for Medical Imaging

2017 ◽  
Vol 48 (S 01) ◽  
pp. S1-S45 ◽  
Author(s):  
C. Anastasopoulos ◽  
M. Reisert ◽  
E. Kellner
Keyword(s):  
Medical Imaging ◽  
Web Based

Quality Control of Medical Imaging

2004 ◽  
Vol 50 (5) ◽  
pp. 317 ◽  
Author(s):  
Joon Il Choi ◽  
Dong Gyu Na ◽  
Hak Hee Kim ◽  
Yong Moon Shin ◽  
Kook Jin Ahn ◽  
...  
Keyword(s):  
Quality Control ◽  
Medical Imaging

A Correspondence-Free Color Chart Design for Color Calibration

2020 ◽  
Vol 2020 (1) ◽  
pp. 100-104
Author(s):  
Hakki Can Karaimer ◽  
Rang Nguyen
Keyword(s):  
Color Space ◽  
Fixed Number ◽  
New Approach ◽  
Color Chart ◽  
Color Calibration ◽  
Space Transformation ◽  
Color Space Transformation ◽  
Chart Design ◽  
Calibration Approach

Colorimetric calibration computes the necessary color space transformation to map a camera's device-specific color space to a device-independent perceptual color space. Color calibration is most commonly performed by imaging a color rendition chart with a fixed number of color patches with known colorimetric values (e. g., CIE XYZ values). The color space transformation is estimated based on the correspondences between the camera's image and the chart's colors. We present a new approach to colorimetric calibration that does not require explicit color correspondences. Our approach computes a color space transformation by aligning the color distributions of the captured image to the known distribution of a calibration chart containing thousands of colors. We show that a histogram-based colorimetric calibration approach provides results that are onpar with the traditional patch-based method without the need to establish correspondences.

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