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Spectral correction for handheld optoacoustic imaging by means of near-infrared optical tomography in reflection mode

DOI:10.1002/jbio.201800112 期刊:Journal of Biophotonics 出版年份:2018 更新时间:2025-09-23 15:23:52
摘要: In vivo imaging of tissue/vasculature oxygen saturation levels is of prime interest in many clinical applications. To this end, the feasibility of combining two distinct and complementary imaging modalities was investigated: optoacoustics (OA) and near-infrared tomography (NIROT), both operating noninvasively in reflection mode. Experiments were conducted on two optically heterogeneous phantoms mimicking tissue before and after the occurrence of a perturbation. OA imaging was used to resolve submillimetric vessel-like optical absorbers at depths up to 25 mm, but with a spectral distortion in the OA signals. NIROT measurements were utilized to image perturbations in the background and to estimate the light fluence inside the phantoms at the wavelength pair (760 nm, 830 nm). This enabled the spectral correction of the vessel-like absorbers' OA signals: the error in the ratio of the absorption coefficient at 830 nm to that at 760 nm was reduced from 60%-150% to 10%-20%. The results suggest that oxygen saturation (SO2) levels in arteries can be determined with <10% error and furthermore, that relative changes in vessels' SO2 can be monitored with even better accuracy. The outcome relies on a proper identification of the OA signals emanating from the studied vessels.
作者: Leonie Ulrich,Linda Ahnen,Hidayet Günhan Akar?ay,Salvador Sánchez Majos,Michael Jaeger,Kai Gerrit Held,Martin Wolf,Martin Frenz
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Investigating the feasibility of combining optoacoustics (OA) and near-infrared optical tomography (NIROT) for spectral correction of OA signals to quantify oxygen saturation levels in tissue vasculature.

The hybrid OA/NIROT system effectively corrected spectral distortions in OA signals, reducing errors in absorption coefficient ratios from over 100% to less than 20%. This allows for accurate estimation of oxygen saturation levels in vessels, with potential errors below 10% for arteries. The approach provides valuable complementary information for monitoring tissue perturbations and vascular oxygenation, with implications for clinical applications like neonatal brain imaging.

The study was conducted on phantoms, not in vivo, limiting direct clinical applicability. The accuracy depends on proper identification of vessel signals and is affected by system noise, motion artifacts, and uncertainties in optical properties. The method may not perform as well in highly complex or heterogeneous real tissues.

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