00000cab a22000003a 4500 UP-99796217609548904 Buklod 20231007234408.0 m |o d | ta 101125s xx d | ||r ||||| || DENGII eng Juzhong Dong An algorithm using projection onto subspace of prior distributions for long-wavelength sound wave CT. pp. 583-594 The stationary long-wavelength sound wave computed tomography is a nonlinear inverse problem that requires the use of prior information of the object. However, the prior assumptions that are usually used in similar inverse problems are more or less inappropriate. Here, a new reconstruction algorithm using the prior information is proposed and compared with subspace regularization method and Marquardt reconstruction algorithms. The simulation shows that the proposed algorithm can give a better reconstructed result whether the actual distribution is compatible or incompatible with the prior distributions. Marquardt reconstruction algorithms. Long-wavelength sound wave CT. Medical diagnostic imaging. Prior distributions subspace. Prior information. Projection. Reconstruction algorithm. Subspace regularization method. IEEE Transactions on medical imaging 20, 7 (2001). FO UPD DENG-II Article