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Proceedings Paper

Towards quantitative assessment of calciphylaxis
Author(s): Thomas M. Deserno; István Sárándi; Abin Jose; Daniel Haak; Stephan Jonas; Paula Specht; Vincent Brandenburg
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Paper Abstract

Calciphylaxis is a rare disease that has devastating conditions associated with high morbidity and mortality. Calciphylaxis is characterized by systemic medial calcification of the arteries yielding necrotic skin ulcerations. In this paper, we aim at supporting the installation of multi-center registries for calciphylaxis, which includes a photographic documentation of skin necrosis. However, photographs acquired in different centers under different conditions using different equipment and photographers cannot be compared quantitatively. For normalization, we use a simple color pad that is placed into the field of view, segmented from the image, and its color fields are analyzed. In total, 24 colors are printed on that scale. A least-squares approach is used to determine the affine color transform. Furthermore, the card allows scale normalization. We provide a case study for qualitative assessment. In addition, the method is evaluated quantitatively using 10 images of two sets of different captures of the same necrosis. The variability of quantitative measurements based on free hand photography is assessed regarding geometric and color distortions before and after our simple calibration procedure. Using automated image processing, the standard deviation of measurements is significantly reduced. The coefficients of variations yield 5-20% and 2-10% for geometry and color, respectively. Hence, quantitative assessment of calciphylaxis becomes practicable and will impact a better understanding of this rare but fatal disease.

Paper Details

Date Published: 18 March 2014
PDF: 8 pages
Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis, 90353C (18 March 2014); doi: 10.1117/12.2043820
Show Author Affiliations
Thomas M. Deserno, RWTH Aachen (Germany)
István Sárándi, RWTH Aachen (Germany)
Abin Jose, RWTH Aachen (Germany)
Daniel Haak, RWTH Aachen (Germany)
Stephan Jonas, RWTH Aachen (Germany)
Paula Specht, RWTH Aachen (Germany)
Vincent Brandenburg, RWTH Aachen (Germany)


Published in SPIE Proceedings Vol. 9035:
Medical Imaging 2014: Computer-Aided Diagnosis
Stephen Aylward; Lubomir M. Hadjiiski, Editor(s)

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