Optimizing quantitative photoacoustic imaging systems: the Bayesian Cramér–Rao bound approach

Quantitative photoacoustic computed tomography (qPACT) is an emerging medical imaging modality that carries the promise of high-contrast, fine-resolution imaging of clinically relevant quantities like hemoglobin concentration and blood-oxygen saturation. However, qPACT image reconstruction is govern...

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Veröffentlicht in:	Inverse problems Jg. 40; H. 12; S. 125012 - 125039
Hauptverfasser:	Scope Crafts, Evan, Anastasio, Mark A, Villa, Umberto
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England IOP Publishing 01.12.2024
Schlagworte:	adjoint-based methods Cramér–Rao bound optimization infinite-dimensional Bayesian inverse problems optimal design of experiments quantitative photoacoustic computed tomography adjoint-based methods optimal design of experiments quantitative photoacoustic computed tomography Cramér–Rao bound optimization infinite-dimensional Bayesian inverse problems
ISSN:	0266-5611, 1361-6420
Online-Zugang:	Volltext
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