Photoacoustic Tomography: Principles and Advances [PDF]
Photoacoustic tomography (PAT) is an emerging imaging modality that shows great potential for preclinical research and clinical practice. As a hybrid technique, PAT is based on the acoustic detection of optical absorption from either endogenous ...
Wang, Lihong V., Xia, Jun, Yao, Junjie
core
Evaluation of cervical lymph nodes using multispectral optoacoustic tomography: a proof-of-concept study. [PDF]
Becker C +9 more
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Multispectral optoacoustic tomography for the non-invasive identification of patients with severe anemia in vivo. [PDF]
Ganzleben I +6 more
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Multispectral optoacoustic tomography
Andreas Buehler, Vasilis Ntziachristos
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Multispectral optoacoustic tomography (MSOT): Monitoring neurovascular changes in a mouse repetitive traumatic brain injury model. [PDF]
Penn C +4 more
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Towards in vivo characterization of thyroid nodules suspicious for malignancy using multispectral optoacoustic tomography. [PDF]
Noltes ME +13 more
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Scale-equivariant deep model-based optoacoustic image reconstruction
Model-based reconstruction provides state-of-the-art image quality for multispectral optoacoustic tomography. However, optimal regularization of in vivo data necessitates scan-specific adjustments of the regularization strength to compensate for ...
Christoph Dehner +4 more
doaj +1 more source
Mapping glucose-induced hemodynamics in white fat depots with label-free optoacoustics
Subcutaneous adipose tissue (SAT) hemodynamics is an indicator of cardiometabolic health. Herein, we demonstrate a non-invasive approach for imaging SAT hemodynamics in humans using multispectral optoacoustic tomography (MSOT). We evaluated different SAT
Nikolina-Alexia Fasoula +4 more
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Dynamic 2-deoxy-D-glucose-enhanced multispectral optoacoustic tomography for assessing metabolism and vascular hemodynamics of breast cancer. [PDF]
Han Z +10 more
europepmc +1 more source
Exploiting image- and model-sparsity in multispectral optoacoustic tomography
In multispectral optoacoustic tomography (MSOT), sparsity is found in the measured dataset as well as in the model of the imaging system. In this talk, sparsity-based methods for image reconstruction in MSOT will be discussed.
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