Optoacoustic imaging has enabled the visualization of optical contrast at high resolutions in deep tissue. Our
Multispectral optoacoustic tomography (MSOT) imaging results reveal internal tissue heterogeneity, where the
underlying distribution of specific endogenous and exogenous sources of absorption can be resolved in detail. Technical
advances in cardiac imaging allow motion-resolved multispectral measurements of the heart, opening the way for studies
of cardiovascular disease. We further demonstrate the fast characterization of the pharmacokinetic profiles of lightabsorbing
agents. Overall, our MSOT findings indicate new possibilities in high resolution imaging of functional and
molecular parameters.
Multi-Spectral Optoacoustic Tomography (MSOT) offers real time imaging that simultaneously exploits high ultrasound
resolutions and strong optical contrast. It allows visualizing absorbers in tissue by using their distinct spectral absorption
profiles. This work presents a non-invasive in vivo study of kinetics involved in the clearance of carboxylated dye in
mouse kidneys. The distinctio
Cardiac imaging in small animals is a valuable tool in basic biological research and drug discovery for cardiovascular disease. Multispectral optoacoustic tomography (MSOT) represents an emerging imaging modality capable of visualizing specific tissue chromophores at high resolution and deep in tissues in vivo by separating their spectral signatures. Whereas single-wavelength images can be acquired by multielement ultrasound detection in real-time imaging, using multiple wavelengths at separate times can lead to image blurring due to motion during acquisition. Therefore, MSOT imaging of the heart results in degraded resolution because of the heartbeat. In this work, we applied a clustering algorithm, k-means, to automatically separate a sequence of single-pulse images at multiple excitation wavelengths into clusters corresponding to different stages of the cardiac cycle. We then performed spectral unmixing on each cluster to obtain images of tissue intrinsic chromophores at different cardiac stages, showing reduced sensitivity to motion compared to signal averaging without clustering. We found that myocardium images of improved resolution and contrast can be achieved using MSOT motion clustering correction. The correction method presented could be generally applied to other MSOT imaging applications prone to motion artifacts, for example, by respiration and heartbeat.
Multispectral Optoacoustic Tomography (MSOT) is an emerging technique for high resolution macroscopic imaging
with optical and molecular contrast. We present cardiovascular imaging results from a multi-element real-time MSOT
system recently developed for studies on small animals. Anatomical features relevant to cardiovascular disease, such as
the carotid arteries, the aorta and the heart, are imaged in mice. The system's fast acquisition time, in tens of
microseconds, allows images free of motion artifacts from heartbeat and respiration. Additionally, we present in-vivo
detection of optical imaging agents, gold nanorods, at high spatial and temporal resolution, paving the way for molecular
imaging applications.
In this work, we show, for the first time to our knowledge, that multispectral optoacoustic tomography (MSOT) can
deliver high resolution images of activatable molecular probe's distribution, sensitive to matrix metalloproteinases
(MMP), deep within optically scattering human carotid specimen. It is further demonstrated that this method can be used
in order to provide accurate maps of vulnerable plaque formations in atherosclerotic disease. Moreover, optoacoustic
images can simultaneously show the underlining plaque morphology for accurate localization of MMP activity in three
dimensions. This performance directly relates to small animal screening applications and to clinical potential as well.
Over the last decade fluorescent reporter technologies (both fluorescent probes and proteins) have become a
very powerful imaging tool in everyday biomedical research. Multispectral optoacoustic tomography (MSOT)
is an emerging imaging technology that can resolve fluorophore concentration in small animals situated in deep
tissue by multispectral acquisition and processing of optoacoustic signals. In this work, we study the optimum
operating conditions of MSOT in imaging fluorescence activity in small animals. The performance of various
fluorochromes / fluorescent proteins is examined and it is shown that the new infrared fluorescent protein is an
order of magnitude brighter than the red ones. Finally, wavelength reduction after principle component analysis
shows, that accurate unmixing and 3D reconstruction of the distribution of fluorochromes is possible only with
2 or 3 wavelengths.
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