NDLI: MicroCT-guided Bioluminescence Tomography Based on the Adaptive Finite Element Tomographic Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Yujie Lv Jie Tian Wenxiang Cong Ge Wang Kumar, D.
Copyright Year	2006
Description	Author affiliation: Med. Image Process. Group, Chinese Acad. of Sci., Beijing (Yujie Lv; Jie Tian)
Abstract	Molecular imaging is an emerging imaging technique in biological and medical field. Thereinto, bioluminescence tomography (BLT) plays a significant role. In view of the ill-posedness of the BLT problem, a priori knowledge is indispensable to reconstruct bioluminescent source uniquely and quantitatively. In this paper, the anatomical information of a real mouse is obtained with the microCT scanner to represent different macroscopic biological tissues. The proposed tomographic algorithm based on the adaptive finite element methods (FEMs) employs the microCT slices based coarse volumetric mesh to reconstruct source distribution quantitatively according to a posteriori error estimation techniques. In order to avoid the inverse crime, a Monte Carlo (MC) method based virtual optical environment, molecular optical simulation environment (MOSE), is also adopted for producing the measurement data. Finally, simulation results with the above framework demonstrate the effectiveness and potential of the proposed adaptive tomographic algorithm
Sponsorship	IEEE EMB
Starting Page	381
Ending Page	384
File Size	366236
Page Count	4
File Format	PDF
ISBN	1424400325
ISSN	1557170X
DOI	10.1109/IEMBS.2006.260762
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tomography Bioluminescence Finite element methods Image reconstruction Biomedical optical imaging Molecular imaging Optical imaging Biomedical imaging Mice Biological tissues
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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