Half-time image reconstruction in thermoacoustic tomography.
Thermoacoustic tomography (TAT) is an emerging imaging technique with great potential for a wide range of biomedical imaging applications. In this paper, we propose and investigate reconstruction approaches for TAT that are based on the half-time reflectivity tomography paradigm. We reveal that half-time reconstruction approaches permit for the explicit control of statistically complementary information that can result in the optimal reduction of image variances. We also show that half-time reconstruction approaches can mitigate image artifacts due to heterogeneous acoustic properties of an object. Reconstructed images and numerical results produced from simulated and experimental TAT measurement data are employed to demonstrate these effects.
Anastasio
Mark A
MA
Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA. anastasio@iit.edu
Zhang
Jin
J
Pan
Xiaochuan
X
Zou
Yu
Y
Ku
Geng
G
Wang
Lihong V
LV
D000162:Acoustics; D000465:Algorithms; D000818:Animals; D001185:Artificial Intelligence; D003198:Computer Simulation; D004453:Echoencephalography / Q000379:methods; D004574:Electromagnetic Fields; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D051379:Mice; D008954:Models, Biological; D009716:Numerical Analysis, Computer-Assisted; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013817:Thermography / Q000379:methods; D014054:Tomography / Q000295:instrumentation / Q000379:methods*; D014463:Ultrasonography / Q000295:instrumentation / Q000379:methods*