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Titolo:
Optical tomographic imaging of dynamic features of dense-scattering media
Autore:
Barbour, RL; Graber, HL; Pei, YL; Zhong, S; Schmitz, CH;
Indirizzi:
Suny Downstate Med Ctr, Dept Pathol, Brooklyn, NY 11203 USA Suny DownstateMed Ctr Brooklyn NY USA 11203 thol, Brooklyn, NY 11203 USA Polytech Univ, Dept Elect Engn, Brooklyn, NY 11021 USA Polytech Univ Brooklyn NY USA 11021 pt Elect Engn, Brooklyn, NY 11021 USA Polytech Univ, Dept Civil Engn, Brooklyn, NY 11201 USA Polytech Univ Brooklyn NY USA 11201 pt Civil Engn, Brooklyn, NY 11201 USA
Titolo Testata:
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION
fascicolo: 12, volume: 18, anno: 2001,
pagine: 3018 - 3036
SICI:
1084-7529(200112)18:12<3018:OTIODF>2.0.ZU;2-3
Fonte:
ISI
Lingua:
ENG
Soggetto:
HEART-RATE-VARIABILITY; BLOOD-FLOW; BREAST-CANCER; HUMAN BRAIN; OXYGENATION; LIGHT; TISSUE; SPECTROSCOPY; TUMORS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Engineering, Computing & Technology
Citazioni:
64
Recensione:
Indirizzi per estratti:
Indirizzo: Barbour, RL Suny Downstate Med Ctr, Dept Pathol, Box 25,450 Clarkson Ave, Brooklyn, NY11203 USA Suny Downstate Med Ctr Box 25,450 Clarkson Ave Brooklyn NY USA 11203
Citazione:
R.L. Barbour et al., "Optical tomographic imaging of dynamic features of dense-scattering media", J OPT SOC A, 18(12), 2001, pp. 3018-3036

Abstract

Methods used in optical tomography have thus far proven to produce images of complex target media (e.g., tissue) having, at best, relatively modest spatial resolution. This presents a challenge in differentiating artifact from true features. Further complicating such efforts is the expectation thatthe optical properties of tissue for any individual are largely unknown and are likely to be quite variable due to the occurrence of natural vascularrhythms whose amplitudes are sensitive to a host of autonomic stimuli thatare easily induced. We recognize, however, that rather than frustrating efforts to validate the accuracy of image features, the time-varying properties of the vasculature can be exploited to aid in such efforts, owing to theknown structure-dependent frequency response of the vasculature and to thefact that hemoglobin is a principal contrast feature of the vasculature atnear-infrared wavelengths. To accomplish this, it is necessary to generatea time series of image data. In this report we have tested the hypothesis that through analysis of time-series data, independent contrast features can be derived that serve to validate, at least qualitatively, the accuracy of imaging data, in effect establishing a self-referencing scheme. A significant finding is the observation that analysis of such data can produce high-contrast images that reveal features that are mainly obscured in individual image frames or in time-averaged image data. Given the central role of hemoglobin in tissue function, this finding suggests that a wealth of new features associated with vascular dynamics can be identified from the analysisof time-series image data. (C) 2001 Optical Society of America.

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Documento generato il 05/04/20 alle ore 02:17:13