Name
Abstract | ||
|---|---|---|
The quantification of hemoglobin oxygen saturation (sO2) with multispectral optoacoustic (OA) (photoacoustic) tomography (MSOT) is a complex spectral unmixing problem, since the OA spectra of hemoglobin are modified with tissue depth due to depth (location) and wavelength dependencies of optical fluence in tissue. In a recent work, a method termed eigenspectra MSOT (eMSOT) was proposed for address... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TMI.2018.2815760 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Optical imaging,Inverse problems,Bayes methods,Biomedical optical imaging,Optical reflection,Optical scattering,Optical pulses | Iterative reconstruction,Computer vision,Pattern recognition,Multispectral image,Robustness (computer science),Tomography,Artificial intelligence,Inverse problem,Graphical model,Mathematics,Light scattering,Bayesian probability | Journal |
Volume | Issue | ISSN |
37 | 9 | 0278-0062 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ivan Olefir | 1 | 0 | 0.68 |
| Stratis Tzoumas | 2 | 19 | 4.86 |
| Hong Yang | 3 | 76 | 22.46 |
| Vasilis Ntziachristos | 4 | 165 | 36.56 |