Literature DB >> 27323361

Direct Estimation of Optical Parameters From Photoacoustic Time Series in Quantitative Photoacoustic Tomography.

Aki Pulkkinen, Ben T Cox, Simon R Arridge, Hwan Goh, Jari P Kaipio, Tanja Tarvainen.   

Abstract

Estimation of optical absorption and scattering of a target is an inverse problem associated with quantitative photoacoustic tomography. Conventionally, the problem is expressed as two folded. First, images of initial pressure distribution created by absorption of a light pulse are formed based on acoustic boundary measurements. Then, the optical properties are determined based on these photoacoustic images. The optical stage of the inverse problem can thus suffer from, for example, artefacts caused by the acoustic stage. These could be caused by imperfections in the acoustic measurement setting, of which an example is a limited view acoustic measurement geometry. In this work, the forward model of quantitative photoacoustic tomography is treated as a coupled acoustic and optical model and the inverse problem is solved by using a Bayesian approach. Spatial distribution of the optical properties of the imaged target are estimated directly from the photoacoustic time series in varying acoustic detection and optical illumination configurations. It is numerically demonstrated, that estimation of optical properties of the imaged target is feasible in limited view acoustic detection setting.

Mesh:

Year:  2016        PMID: 27323361     DOI: 10.1109/TMI.2016.2581211

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  4 in total

1.  Quantitative photoacoustic tomography augmented with surface light measurements.

Authors:  Olli Nykänen; Aki Pulkkinen; Tanja Tarvainen
Journal:  Biomed Opt Express       Date:  2017-09-08       Impact factor: 3.732

2.  Evaluation of Fluence Correction Algorithms in Multispectral Photoacoustic Imaging.

Authors:  Xuewen Zhou; Nima Akhlaghi; Keith A Wear; Brian S Garra; T Joshua Pfefer; William C Vogt
Journal:  Photoacoustics       Date:  2020-04-18

3.  Adaptive stochastic Gauss-Newton method with optical Monte Carlo for quantitative photoacoustic tomography.

Authors:  Niko Hänninen; Aki Pulkkinen; Simon Arridge; Tanja Tarvainen
Journal:  J Biomed Opt       Date:  2022-04       Impact factor: 3.758

4.  Fluence-matching technique using photoacoustic radiofrequency spectra for improving estimates of oxygen saturation.

Authors:  Muhannad N Fadhel; Eno Hysi; Hisham Assi; Michael C Kolios
Journal:  Photoacoustics       Date:  2020-05-24
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.