A Wavelet-based Reconstruction Algorithm for Fluorescent Molecular Tomography

摘要：

Image reconstruction of fluorescent molecular tomography (FMT) involves repeatedly solving the largedimension matrix equations which are computationally expensive, especially for the case when there are large deviations in the optical properties between the target and the reference medium. In this paper, a wavelet-based reconstruction approach is proposed for the FMT reconstruction in combination with a parallel forward computing strategy, in which both the forward and the inverse problem of FMT are solved in the wavelet domain. Simulation results demonstrate that the proposed approach can significantly speed up the reconstruction process and improve the image quality of FMT.

关键词： wavelets image reconstruction techniques fluorescent molecular tomography

作者: Wei Zou Jiajun Wang David Dagan Feng Kongpei Wu

作者单位: School of Electronics and Information Engineering,Soochow University,Suzhou,215021,China Department Department of Electronic and Information Engineering,Hong Kong Polytechnic University,Hong Kong Scho School of Electronics and Information Engineering,Soochow University,Suzhou,215021,China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）