Abstract
An accurate assessment of the bluish discoloration of cyanosis in the newborn baby’s skin is essential for the doctors when making a comprehensive evaluation or a treatment decision. To date, midwives employ the score of APGAR to note any occurrence of discoloration on skin among newborn babies. However, there is still no known general method to automatically determine a cyanosis skin color and quantifying technique in a newborn baby. Furthermore, a viable yardstick is absent for evaluation purposes in training sessions. Hence, this study proposes a cyanosis skin detection in the image of a newborn with a new algorithm for a color correction using MacBeth Color Checker. This proposed system has three steps: (i) selecting cyanosis region of interest from images, (ii) correcting color via an algorithm to calibrate images, and (iii) generating a database of cyanosis CIE \({L}^{*}{a}^{*}{b}^{*} \)(CIELAB) values. This proposed method calculates color error with \(\varDelta {E}^{*} \) via comparing the actual color value of MacBeth Colorchecker especially before and after applying correction for color. This proposed method to detect cyanosis allows modification of images with minimal effect upon image quality, thus assuring the viability in detecting and ascertaining values of CIELAB for cyanosis skin. Besides, this study hopes to use the outcomes of CIELAB values of cyanosis skin in order to develop a baby manikin with cyanosis that is high in fidelity in upcoming studies. This study is not associated to clinical purposes.
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References
Basics of Color Perception and Measurement. http://studylib.net/doc/8432172/basics-of-colorperception-and-measurement
Ci6x Series Portable Spectrophotometers. X-Rite homepage (2016). http://www.xrite.com/Ci6x
ColorWiki - Delta E: The Color Difference. http://www.colorwiki.com/wiki/DeltaE
Sony Cyber-shot DSC-RX100 Digital Camera. Sony homepage. https://www.sony.com
Wolfram Mathematica (version 11.0). https://www.wolfram.com
Azmi, N.F., Delbressine, F., Feijs, L.: Conceptual determination and assessment of cyanosis. Int. J. Biosci. Biochem. Bioinform. 6(3), 75 (2016)
Blake, D.: Do we assess ‘colour’ appropriately using the Apgar score? J. Neonatal Nurs. 16(4), 184–187 (2010)
Dain, S.J.: Recognition of simulated cyanosis by color-vision-normal and color-vision-deficient subjects. JOSA A 31(4), A303–A306 (2014)
Djordjevic, J., et al.: Three-dimensional longitudinal assessment of facial symmetry in adolescents. Eur. J. Orthod. 35(2), 143–151 (2011)
Everett, J.S., Budescu, M., Sommers, M.S.: Making sense of skin color in clinical care. Clin. Nurs. Res. 21(4), 495–516 (2012)
Farkas, L.G., Deutsch, C.K.: Anthropometric determination of craniofacial morphology. Am. J. Med. Genet. Part A 65(1), 1–4 (1996)
Hardeberg, J.Y.: Acquisition and Reproduction of Color Images: Colorimetric and Multispectral Approaches. Universal-Publishers, Irvine (2001)
Malacara, D.: Color vision and colorimetry: theory and applications (2003)
Marino, B.S., Fine, K.S.: Blueprints Pediatrics, vol. 6. Lippincott Williams & Wilkins, Philadelphia (2013)
Martin, L., Khalil, H.: How much reduced hemoglobin is necessary to generate central cyanosis? Chest 97(1), 182–185 (1990)
Mokrzycki, W.S., Tatol, M.: Colour difference\(\Delta \) E-A survey. MGV 20(4), 383–411 (2011)
Morgan, E.A., Brown, A.: Cyanosis of the new-born. J. Am. Med. Assoc. 105(14), 1085–1088 (1935)
Pascale, D.: RGB coordinates of the Macbeth ColorChecker, pp. 1–16. The BabelColor Company (2006)
Sasidharan, P.: An approach to diagnosis and management of cyanosis and tachypnea in term infants. Pediatr. Clin. 51(4), 999–1021 (2004)
Seo, I., Liu, Y., Bargo, P.R., Kollias, N.: Assessing human skin with diffuse reflectance spectroscopy and colorimetry. In: Photonic Therapeutics and Diagnostics VIII, vol. 8207, p. 82070P (2012)
Steinhorn, R.H.: Evaluation and management of the cyanotic neonate. Clin. Pediatr. Emerg. Med. 9(3), 169–175 (2008)
Weatherall, I.L., Coombs, B.D.: Skin color measurements in terms of CIELAB color space values. J. Investig. Dermatol. 99(4), 468–473 (1992)
Wolf, S.: Color Correction Matrix for Digital Still and Video Imaging Systems. National Telecommunications and Information Administration, Washington, D.C. (2003)
Stephen, I.D., Law Smith, M.J., Stirrat, M.R., Perrett, D.I.: Facial skin coloration affects perceived health of human faces. Int. J. Primatol. 30, 845–857 (2009)
Acknowledgements
The authors would like to express their gratitude and special acknowledgements to Universiti Teknikal Malaysia Melaka (UTeM) and Ministry of Higher Education, Malaysia (KPT) for the funding of the Ph.D. program of Nur Fatihah Azmi and also to the Department of Neonatology Máxima Medical Center, Veldhoven, The Netherlands.
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Azmi, N.F.B., Delbressine, F., Feijs, L., Oetomo, S.B. (2018). Color Correction of Baby Images for Cyanosis Detection. In: Nixon, M., Mahmoodi, S., Zwiggelaar, R. (eds) Medical Image Understanding and Analysis. MIUA 2018. Communications in Computer and Information Science, vol 894. Springer, Cham. https://doi.org/10.1007/978-3-319-95921-4_33
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DOI: https://doi.org/10.1007/978-3-319-95921-4_33
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