Title :
Singular Value Decomposition-based Analysis on Fluorescence Molecular Tomography in the Mouse Atlas
Author :
Xu, Zhun ; Song, Xiaolei ; Bai, Jing
Author_Institution :
Sch. of Med., Tsinghua Univ., Beijing, China
Abstract :
The application of CCD camera improves the quality of fluorescence molecular tomography (FMT). However, large size of data set offered by CCD might increase the computational burden in the reconstruction. To balance the data size and reconstruction quality, singular value decomposition (SVD)-based analysis is applied. Simulation is performed with mouse atlas. By observing the relative gain of number of effective SVD components and reconstruction results, we find that the minimum field of view can be obtained for each projection in order to realize the optimization of experimental setup and furthest utilize data set.
Keywords :
CCD image sensors; biomedical optical imaging; fluorescence; image reconstruction; medical image processing; optical tomography; singular value decomposition; CCD camera; data size; fluorescence molecular tomography; image reconstruction; relative gain; singular value decomposition-based analysis; Algorithms; Animals; Computer Simulation; Computers; Finite Element Analysis; Fluorescence; Fourier Analysis; Image Processing, Computer-Assisted; Kidney; Mice; Models, Statistical; Normal Distribution; Software; Tomography;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5334883
