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Post-mortem interval estimation of human skeletal remains by micro-computed tomography, mid-infrared microscopic imaging and energy dispersive X-ray mapping.

Longato S, Wöss C, Hatzer-Grubwieser P, Bauer C, Parson W, Unterberger SH, Kuhn V, Pemberger N, Pallua AK, Recheis W, Lackner R, Stalder R, Pallua JD - Anal Methods (2015)

Bottom Line: In this way, a more distinct picture concerning processes during the PMI as well as a more realistic approximation of the PMI were achieved.It could be demonstrated that the gained result in combination with multivariate data analysis can be used to predict the Ca/C ratio and bone volume (BV) over total volume (TV) for PMI estimation.Statistical limitation of this study is the small sample size, and future work will be based on more specimens to develop a screening tool for PMI based on the outcome of this multidimensional approach.

View Article: PubMed Central - PubMed

Affiliation: Institute of Legal Medicine , Medical University of Innsbruck , Müllerstraße 44 , 6020 Innsbruck , Austria . Email: Johannes.Pallua@i-med.ac.at.

ABSTRACT

In this study different state-of-the-art visualization methods such as micro-computed tomography (micro-CT), mid-infrared (MIR) microscopic imaging and energy dispersive X-ray (EDS) mapping were evaluated to study human skeletal remains for the determination of the post-mortem interval (PMI). PMI specific features were identified and visualized by overlaying molecular imaging data and morphological tissue structures generated by radiological techniques and microscopic images gained from confocal microscopy (Infinite Focus (IFM)). In this way, a more distinct picture concerning processes during the PMI as well as a more realistic approximation of the PMI were achieved. It could be demonstrated that the gained result in combination with multivariate data analysis can be used to predict the Ca/C ratio and bone volume (BV) over total volume (TV) for PMI estimation. Statistical limitation of this study is the small sample size, and future work will be based on more specimens to develop a screening tool for PMI based on the outcome of this multidimensional approach.

No MeSH data available.


Color-coded micro-CT images with ROIs for bone density measurement, MIR microscopic imaging, and EDS mapping. Phantom-based calibration to Hounsfield unit (HU).
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fig2: Color-coded micro-CT images with ROIs for bone density measurement, MIR microscopic imaging, and EDS mapping. Phantom-based calibration to Hounsfield unit (HU).

Mentions: Micro-CT was used to demonstrate the influence of PMI on the bone density and to evaluate how far MIR reflection spectra enable a match of the micro-CT results. Analyses of the resulting micro-CT datasets were performed using the aforementioned software packages. The results are illustrated in Fig. 2 and Table 1. Due to the fact that MIR microscopic reflection imaging is limited to surfaces and micro-CT provides images of the internal structure, the best fitting micro-CT image slice was selected manually including an oblique reformatting of the image stack being as close as possible to the surface and preserving an appropriate image quality at the same time.


Post-mortem interval estimation of human skeletal remains by micro-computed tomography, mid-infrared microscopic imaging and energy dispersive X-ray mapping.

Longato S, Wöss C, Hatzer-Grubwieser P, Bauer C, Parson W, Unterberger SH, Kuhn V, Pemberger N, Pallua AK, Recheis W, Lackner R, Stalder R, Pallua JD - Anal Methods (2015)

Color-coded micro-CT images with ROIs for bone density measurement, MIR microscopic imaging, and EDS mapping. Phantom-based calibration to Hounsfield unit (HU).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4383336&req=5

fig2: Color-coded micro-CT images with ROIs for bone density measurement, MIR microscopic imaging, and EDS mapping. Phantom-based calibration to Hounsfield unit (HU).
Mentions: Micro-CT was used to demonstrate the influence of PMI on the bone density and to evaluate how far MIR reflection spectra enable a match of the micro-CT results. Analyses of the resulting micro-CT datasets were performed using the aforementioned software packages. The results are illustrated in Fig. 2 and Table 1. Due to the fact that MIR microscopic reflection imaging is limited to surfaces and micro-CT provides images of the internal structure, the best fitting micro-CT image slice was selected manually including an oblique reformatting of the image stack being as close as possible to the surface and preserving an appropriate image quality at the same time.

Bottom Line: In this way, a more distinct picture concerning processes during the PMI as well as a more realistic approximation of the PMI were achieved.It could be demonstrated that the gained result in combination with multivariate data analysis can be used to predict the Ca/C ratio and bone volume (BV) over total volume (TV) for PMI estimation.Statistical limitation of this study is the small sample size, and future work will be based on more specimens to develop a screening tool for PMI based on the outcome of this multidimensional approach.

View Article: PubMed Central - PubMed

Affiliation: Institute of Legal Medicine , Medical University of Innsbruck , Müllerstraße 44 , 6020 Innsbruck , Austria . Email: Johannes.Pallua@i-med.ac.at.

ABSTRACT

In this study different state-of-the-art visualization methods such as micro-computed tomography (micro-CT), mid-infrared (MIR) microscopic imaging and energy dispersive X-ray (EDS) mapping were evaluated to study human skeletal remains for the determination of the post-mortem interval (PMI). PMI specific features were identified and visualized by overlaying molecular imaging data and morphological tissue structures generated by radiological techniques and microscopic images gained from confocal microscopy (Infinite Focus (IFM)). In this way, a more distinct picture concerning processes during the PMI as well as a more realistic approximation of the PMI were achieved. It could be demonstrated that the gained result in combination with multivariate data analysis can be used to predict the Ca/C ratio and bone volume (BV) over total volume (TV) for PMI estimation. Statistical limitation of this study is the small sample size, and future work will be based on more specimens to develop a screening tool for PMI based on the outcome of this multidimensional approach.

No MeSH data available.