Compensating unknown speed of sound in learned fast 3D limited-view photoacoustic tomography.
Photoacoustics
; 37: 100597, 2024 Jun.
Article
em En
| MEDLINE
| ID: mdl-38425677
ABSTRACT
Real-time applications in three-dimensional photoacoustic tomography from planar sensors rely on fast reconstruction algorithms that assume the speed of sound (SoS) in the tissue is homogeneous. Moreover, the reconstruction quality depends on the correct choice for the constant SoS. In this study, we discuss the possibility of ameliorating the problem of unknown or heterogeneous SoS distributions by using learned reconstruction methods. This can be done by modelling the uncertainties in the training data. In addition, a correction term can be included in the learned reconstruction method. We investigate the influence of both and while a learned correction component can improve reconstruction quality further, we show that a careful choice of uncertainties in the training data is the primary factor to overcome unknown SoS. We support our findings with simulated and in vivo measurements in 3D.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Idioma:
En
Revista:
Photoacoustics
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Finlândia
País de publicação:
Alemanha