The utilization of optical imaging for the analysis and modeling of microcirculatory flow patterns is raising significant interest. This work focuses on the analysis of the alterations in the spatial distribution of blood flow caused by exposing the skin at a variable temperature. In optical imaging, the measurement of local perfusion at pixel level is not reliable because of the very low signal to noise ratio (SNR) of the resulting signal. To cope with this limitation, a reference signal of pulsatile blood flow is computed by averaging a large region of skin, thus obtaining an improved SNR. Then, for each pixel, we estimate the time shift between the local blood pulse wave and the reference signal, evaluating the peak of the correlation function between the two signals. An image representing the spatial distribution of the time delay is thus created. Textural parameters derived from cooccurrence matrices and from fractal analysis show that both skin heating and cooling produce alterations of the spatial distribution of blood perfusion.

Evaluation of spatial distribution of skin blood flow using optical imaging / Frassineti, Lorenzo; Giardini, Francesco; Perrella, Antonia; Sorelli, Michele; Sacconi, Leonardo; Bocchi, Leonardo. - ELETTRONICO. - 62:(2017), pp. 74-80. (Intervento presentato al convegno International Conference on Medical and Biological Engineering, CMBEBIH 2017 nel 2017) [10.1007/978-981-10-4166-2_12].

Evaluation of spatial distribution of skin blood flow using optical imaging

Frassineti, Lorenzo;Giardini, Francesco;PERRELLA, ANTONIA;SORELLI, MICHELE;SACCONI, LEONARDO;BOCCHI, LEONARDO
2017

Abstract

The utilization of optical imaging for the analysis and modeling of microcirculatory flow patterns is raising significant interest. This work focuses on the analysis of the alterations in the spatial distribution of blood flow caused by exposing the skin at a variable temperature. In optical imaging, the measurement of local perfusion at pixel level is not reliable because of the very low signal to noise ratio (SNR) of the resulting signal. To cope with this limitation, a reference signal of pulsatile blood flow is computed by averaging a large region of skin, thus obtaining an improved SNR. Then, for each pixel, we estimate the time shift between the local blood pulse wave and the reference signal, evaluating the peak of the correlation function between the two signals. An image representing the spatial distribution of the time delay is thus created. Textural parameters derived from cooccurrence matrices and from fractal analysis show that both skin heating and cooling produce alterations of the spatial distribution of blood perfusion.
2017
IFMBE Proceedings
International Conference on Medical and Biological Engineering, CMBEBIH 2017
2017
Frassineti, Lorenzo; Giardini, Francesco; Perrella, Antonia; Sorelli, Michele; Sacconi, Leonardo; Bocchi, Leonardo
File in questo prodotto:
File Dimensione Formato  
typeinst.pdf

Accesso chiuso

Tipologia: Versione finale referata (Postprint, Accepted manuscript)
Licenza: Tutti i diritti riservati
Dimensione 1.73 MB
Formato Adobe PDF
1.73 MB Adobe PDF   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1094748
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 7
  • ???jsp.display-item.citation.isi??? 4
social impact