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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Vydáno v:	Inverse problems Ročník 40; číslo 12; s. 125012 - 125039
Hlavní autoři:	Scope Crafts, Evan, Anastasio, Mark A, Villa, Umberto
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England IOP Publishing 01.12.2024
Témata:	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
On-line přístup:	Získat plný text
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