Skip to main content

Advertisement

Log in

Use of reflectance spectrophotometry and colorimetry in a general linear model for the determination of the age of bruises

  • Original Article
  • Published:
Forensic Science, Medicine, and Pathology Aims and scope Submit manuscript

Abstract

Bruises can have medicolegal significance such that the age of a bruise may be an important issue. This study sought to determine if colorimetry or reflectance spectrophotometry could be employed to objectively estimate the age of bruises. Based on a previously described method, reflectance spectrophotometric scans were obtained from bruises using a Cary 100 Bio spectrophotometer fitted with a fibre-optic reflectance probe. Measurements were taken from the bruise and a control area. Software was used to calculate the first derivative at 490 and 480 nm; the proportion of oxygenated hemoglobin was calculated using an isobestic point method and a software application converted the scan data into colorimetry data. In addition, data on factors that might be associated with the determination of the age of a bruise: subject age, subject sex, degree of trauma, bruise size, skin color, body build, and depth of bruise were recorded. From 147 subjects, 233 reflectance spectrophotometry scans were obtained for analysis. The age of the bruises ranged from 0.5 to 231.5 h. A General Linear Model analysis method was used. This revealed that colorimetric measurement of the yellowness of a bruise accounted for 13% of the bruise age. By incorporation of the other recorded data (as above), yellowness could predict up to 32% of the age of a bruise—implying that 68% of the variation was dependent on other factors. However, critical appraisal of the model revealed that the colorimetry method of determining the age of a bruise was affected by skin tone and required a measure of the proportion of oxygenated hemoglobin, which is obtained by spectrophotometric methods. Using spectrophotometry, the first derivative at 490 nm alone accounted for 18% of the bruise age estimate. When additional factors (subject sex, bruise depth and oxygenation of hemoglobin) were included in the General Linear Model this increased to 31%—implying that 69% of the variation was dependent on other factors. This indicates that spectrophotometry would be of more use that colorimetry for assessing the age of bruises, but the spectrophotometric method used needs to be refined to provide useful data regarding the estimated age of a bruise. Such refinements might include the use of multiple readings or utilizing a comprehensive mathematical model of the optics of skin.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Langlois NEI, Gresham GA. The ageing of bruises: a review and study of the color changes with time. Forensic Sci Int. 1991;50:227–38.

    Article  CAS  PubMed  Google Scholar 

  2. Langlois NEI. The science behind the quest to determine the age of bruisies—a review of the English language literature. Forensic Sci Med Pathol. 2007;3(4):241–51.

    Article  Google Scholar 

  3. Bohnert M, Baumgartner R, Pollak S. Spectrophotometric evaluation of the color of intra- and subcutaneous bruises. Int J Legal Med. 2000;113:343–8.

    Article  CAS  PubMed  Google Scholar 

  4. Gibson IM. Measurement of skin color in vivo. J Soc Cosmet Chem. 1971;22:725–40.

    Google Scholar 

  5. Kienle A, Lilge L, Vitkin A, Patterson MS, Wilson BC, Hibst R, et al. Why do veins appear blue? A new look at an old question. Appl Optics. 1996;35:1151–60.

    Article  Google Scholar 

  6. Kollias N. The physical basis of skin color and its evaluation. Clin Dermatol. 1995;13:361–7.

    Article  CAS  PubMed  Google Scholar 

  7. Muir R, Niven JSF. The local formation of blood pigments. J Pathol. 1935;41:183–97.

    Article  CAS  Google Scholar 

  8. Tenhunen R. The enzymatic degradation of heme. Semin Hematol. 1972;9:19–29.

    CAS  PubMed  Google Scholar 

  9. Schwartz AJ, Ricci LR. How accurately can bruises be aged in abused children? Literature review and synthesis. Pediatrics. 1996;97:254–7.

    CAS  PubMed  Google Scholar 

  10. Stephenson T, Bialas Y. Estimation of the age of bruising. Arch Dis Child. 1996;74:53–5.

    Article  CAS  PubMed  Google Scholar 

  11. Hughes VK, Ellis P, Langlois NEI. The perception of yellow in bruises. J Clin Forensic Med. 2004;11:257–9.

    Article  CAS  PubMed  Google Scholar 

  12. Munang LA, Leonard PA, Mok JYQ. Lack of agreement on color description between clinicians examining childhood bruising. J Clin Forensic Med. 2002;9:171–4.

    Article  CAS  PubMed  Google Scholar 

  13. Klein A, Rommeiß S, Fischbacher C, Jagemann K-U, Danzer K. Estimating the age of hematomas in living subjects based on spectrometric measurements. In: Oehmichen K, editor. The wound healing process. Lübeck: Schmidt-Römhild; 1995. p. 283–91.

    Google Scholar 

  14. Randeberg LL, Winnem A, Blindheim S, Haugen OA, Svaasand LO. Optical classification of bruises. Proc SPIE. 2004;5312:54–64.

    Article  Google Scholar 

  15. Yajima Y, Nata M, Funayama M. Spectrophotometric and trismus analysis of the colours of subcutaneous bleeding in living persons. Leg Med. 2003;5:S342–3.

    Article  Google Scholar 

  16. Billmeyer FW. Survey of color order systems. Color Res Appl. 1987;12:173–86.

    Article  Google Scholar 

  17. Wyszecki G, Stiles WS. Color science. Concepts and methods, quantitative data and formula. 2nd ed. New York: Wiley; 1982.

    Google Scholar 

  18. Westerhof W. CIE colorimetry. In: Serup J, Jemec GBE, editors. Handbook of non-invasive methods and the skin. Boca Radon: CRC Press; 1995. p. 385–96.

    Google Scholar 

  19. Weatherall IL, Coombs BD. Skin color measurements in terms of CIELAB color space values. J Invest Dermatol. 1992;99:468–73.

    Article  CAS  PubMed  Google Scholar 

  20. Bohnert M, Weinman W, Pollak S. Spectroscopic evaluation of postmortem lividity. Forensic Sci Int. 1999;99:149–58.

    Article  CAS  PubMed  Google Scholar 

  21. Feather JW, Hajizadeh-Saffar M, Leslie G, Dawson JB. A portable scanning reflectance spectrophotometer using visible wavelengths for the rapid measurement of skin pigments. Phys Med Biol. 1989;34:807–20.

    Article  CAS  PubMed  Google Scholar 

  22. Takiwaki H. Measurement of skin color: practical application and theoretical considerations. J Med Invest. 1998;44:121–6.

    CAS  PubMed  Google Scholar 

  23. Trujillo O, Vanezis P, Cermignani M. Photometric assessment of skin color and lightness using a tristimulus colorimeter: reliability of inter and intra-investigator observations in healthy adult volunteers. Forensic Sci Int. 1996;81:1–10.

    Article  CAS  PubMed  Google Scholar 

  24. Anon. Standard practice for calculating yellowness and whiteness indices from instrumentally measured color coordinates: ASTM international; 2006. Report No.: E313-05.

  25. Hughes VK, Ellis P, Burt T, Langlois NEI. The practical application of reflectance spectrophotometry for the demonstration of hemoglobin and its degradation in bruises. J Clin Pathol. 2004;57:355–9.

    Article  CAS  PubMed  Google Scholar 

  26. Amazon K, Soloni F, Rywlin AM. Separation of bilirubin from hemoglobin by recording derivative spectrophotometry. Am J Clin Pathol. 1981;75:519–23.

    CAS  PubMed  Google Scholar 

  27. Makarem A. Hemoglobins, myoglobins and haptoglobins. In: Henry RJ, Cannon DC, Winkelman JW, editors. Clinical chemistry principles and techniques. 1st ed. Maryland: Harper and Row; 1974. p. 1111–214.

    Google Scholar 

  28. Wells CL, Wolken JJ. Microspectrophotometry of haemosiderin granules. Nature. 1962;193:977–8.

    Article  CAS  PubMed  Google Scholar 

  29. Carson DO. The reflectance spectrophotometric analyses of the age of bruising and livor [MSc]. Dundee: University of Dundee; 1998.

    Google Scholar 

  30. Klein A, Rommeiß S, Fischbacher C, Jagemann K-U, Danzer K. Estimating the age of hematomas in living subjects based on spectrometric measurements. In: Oehmichen M, Kirchner H, editors. The wound healing process—forensic pathological aspects. Lübeck: Schmidt-Römhild; 1995.

    Google Scholar 

  31. Randeberg LL, Haugen OA, Haaverstad R, Svaasand LO. A novel approach to age determination of traumatic injuries by reflectance spectroscopy. Lasers Surg Med. 2005;38:277–89.

    Article  Google Scholar 

  32. Vanezis P. Interpreting bruises at necropsy. J Clin Pathol. 2001;54:348–55.

    Article  CAS  PubMed  Google Scholar 

  33. Brunsting LA, Sheard C. The color of the skin as analyzed by spectrophotometric methods. III The rôle of superficial blood. J Clin Invest. 1929;7:593–613.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

The authors would like to thank all the volunteers who participated in this study; Karen Blyth for her assistance with the statistics, and the Charitable Trustees and the staff specialists of Western Sydney Area Health Authority for the grant that enabled the purchase of the spectrophotometer.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Neil E. I. Langlois.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hughes, V.K., Langlois, N.E.I. Use of reflectance spectrophotometry and colorimetry in a general linear model for the determination of the age of bruises. Forensic Sci Med Pathol 6, 275–281 (2010). https://doi.org/10.1007/s12024-010-9171-z

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12024-010-9171-z

Keywords

Navigation