Speaker
Description
(3) Results
We will present the results of a systematic study of the joint PACT-USCT image reconstruction problem. The study will address the impact of regularization parameters and data noise.
(4) Discussion and Conclusion
Because variations in the SOS distribution induce aberrations in the measured PA wavefields, certain information regarding an object’s SOS distribution is encoded in the PACT measurement data. The purpose of this work was to contribute to a broad understanding of the extent to which the JR problem can be accurately and reliably solved under realistic conditions. This was accomplished by conducting numerical experiments that elucidated important numerical properties of the JR problem.
(2) Material and Methods
We will investigate the numerical properties of the JR problem for two cases: 1) only PACT data are available and 2) PACT and few-view USCT data are available and combined into a single data set. In the latter case, the SOS information in both the PACT data and the USCT data can be exploited. Realistic numerical phantoms that accurately model the geometry and acoustic heterogeneity of a rat or mouse will be employed. The results will be evaluated on the basis of accuracy when compared with the numerical phantoms. The impact of regularization, acoustic heterogeneity, and model mismatch (e.g. neglecting attenuation, impulse responses of the transducers, etc.) will be investigated.
