Title :
An algorithm using projection onto subspace of prior distributions for long-wavelength sound wave CT
Author :
Dong, Juzhong ; Horita, Yuukou ; Murai, Tadakuni
Author_Institution :
Dept. of Electron. & Electron. Eng., Toyama Univ., Japan
fDate :
7/1/2001 12:00:00 AM
Abstract :
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.
Keywords :
acoustic tomography; bioacoustics; computerised tomography; image reconstruction; inverse problems; medical image processing; Marquardt reconstruction algorithms; long-wavelength sound wave CT; medical diagnostic imaging; prior distributions subspace; prior information; projection; reconstruction algorithm; subspace regularization method; Acoustical engineering; Computational modeling; Computed tomography; Conductivity; Cost function; Inverse problems; Reconstruction algorithms; Shape measurement; Surface reconstruction; Surface waves; Algorithms; Densitometry; Humans; Mathematics; Tomography, X-Ray Computed; Ultrasonics;
Journal_Title :
Medical Imaging, IEEE Transactions on