Simulating nailfold capillaroscopy sequences to evaluate algorithms for blood flow estimation

The effects of systemic sclerosis (SSc) - a disease of the connective tissue causing blood flow problems that can require amputation of the fingers - can be observed indirectly by imaging the capillaries at the nailfold, though taking quantitative measures such as blood flow to diagnose the disease...

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Bibliographic Details
Published in:2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2013-01, Vol.2013, p.2636-2639
Main Authors: Tresadern, P. A., Berks, M., Murray, A. K., Dinsdale, G., Taylor, C. J., Herrick, A. L.
Format: Article
Language:English
Subjects:
Adaptive optics
Algorithms
Biomedical optical imaging
Blood
Brightness
Capillaries - physiopathology
Computer Simulation
Estimation
Fingers - physiopathology
Humans
Image Processing, Computer-Assisted
Microscopic Angioscopy - methods
Nails - blood supply
Optical imaging
Regional Blood Flow
Vectors
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Summary:The effects of systemic sclerosis (SSc) - a disease of the connective tissue causing blood flow problems that can require amputation of the fingers - can be observed indirectly by imaging the capillaries at the nailfold, though taking quantitative measures such as blood flow to diagnose the disease and monitor its progression is not easy. Optical flow algorithms may be applied, though without ground truth (i.e. known blood flow) it is hard to evaluate their accuracy. We propose an image model that generates realistic capillaroscopy videos with known flow, and use this model to quantify the effect of flow rate, cell density and contrast (among others) on estimated flow. This resource will help researchers to design systems that are robust under real-world conditions.
ISSN:1094-687X
1558-4615
2694-0604
DOI:10.1109/EMBC.2013.6610081