Summary
The angioscopic image gives us access to a property heretofore not available by other means: the color of the vessel wall. Colors in video representations of angioscopic images are up until now described by a human observer. Differences in settings of the monitor and the inherent poor ability of the human eye to classify colors objectively results in a very poor intraobserver as well as interobserver reproducibility. A PC-based method is described to measure colors in a video image and to present the results in a novel C-diagram. Results with this method for standard calibrated colors are given. Possible sources of error are discussed and methods to minimize these errors are presented.
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© 1996 Kluwer Academic Publishers
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Oomen, J.A., Schuurbiers, J.C.H., Lehmann, K.G., Slager, C.J., Serruys, P.W. (1996). Color quantization in angioscopic images. In: Reiber, J.H.C., van der Wall, E.E. (eds) Cardiovascular Imaging. Developments in Cardiovascular Medicine, vol 186. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0291-6_28
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DOI: https://doi.org/10.1007/978-94-009-0291-6_28
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-6616-7
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