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  1. Science in China Series : Information Sciences
  2. Science in China Series : Information Sciences : Volume 58
  3. Science in China Series : Information Sciences : Volume 58, Issue 3, March 2015
  4. Mathematical method in optical molecular imaging
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Science in China Series : Information Sciences : Volume 61
Science in China Series : Information Sciences : Volume 60
Science in China Series : Information Sciences : Volume 59
Science in China Series : Information Sciences : Volume 58
Science in China Series : Information Sciences : Volume 58, Issue 12, December 2015
Science in China Series : Information Sciences : Volume 58, Issue 11, November 2015
Science in China Series : Information Sciences : Volume 58, Issue 10, October 2015
Science in China Series : Information Sciences : Volume 58, Issue 9, September 2015
Science in China Series : Information Sciences : Volume 58, Issue 8, August 2015
Science in China Series : Information Sciences : Volume 58, Issue 7, July 2015
Science in China Series : Information Sciences : Volume 58, Issue 6, June 2015
Science in China Series : Information Sciences : Volume 58, Issue 5, May 2015
Science in China Series : Information Sciences : Volume 58, Issue 4, April 2015
Science in China Series : Information Sciences : Volume 58, Issue 3, March 2015
Software testing evolution process model and growth of software testing quality
Macro liveness graph and liveness of ω-independent unbounded nets
Closed-loop subspace identification algorithm based on correlation function estimates
Experimental analyses on phase transitions in compiling satisfiability problems
Probabilistic modeling of scenes using object frames
Mathematical method in optical molecular imaging
Modeling and optimal torque control of a snake-like robot based on the fiber bundle theory
Mlock: building delegable metadata service for the parallel file systems
Learning online structural appearance model for robust object tracking
Error aware multiple vertical planes based visual localization for mobile robots in urban environments
The DBlock family of block ciphers
Optimizing random write performance of FAST FTL for NAND flash memory
A privacy-preserving data collection model for digital community
Height and attitude active disturbance rejection controller design of a small-scale helicopter
Cyber-physical-social-thinking space based science and technology framework for the Internet of Things
Science in China Series : Information Sciences : Volume 58, Issue 2, February 2015
Science in China Series : Information Sciences : Volume 58, Issue 1, January 2015
Science in China Series : Information Sciences : Volume 57
Science in China Series : Information Sciences : Volume 56
Science in China Series : Information Sciences : Volume 55
Science in China Series : Information Sciences : Volume 54
Science in China Series : Information Sciences : Volume 53
Science in China Series : Information Sciences : Volume 52
Science in China Series : Information Sciences : Volume 51
Science in China Series : Information Sciences : Volume 50
Science in China Series : Information Sciences : Volume 49
Science in China Series : Information Sciences : Volume 48
Science in China Series : Information Sciences : Volume 47
Science in China Series : Information Sciences : Volume 46
Science in China Series : Information Sciences : Volume 45
Science in China Series : Information Sciences : Volume 44

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Mathematical method in optical molecular imaging

Content Provider Springer Nature Link
Author Leng, ChengCai Tian, Jie
Copyright Year 2015
Abstract Optical molecular imaging is an important technique of studies at molecular level and provides promising tools to non-invasively delineate in vivo physiological and pathological activities at cellular and molecular levels, and it has been widely used for diagnosing, managing diseases, metastasis detection and drug development. From a mathematical perspective, this paper mainly focuses on the forward problem and inverse problem in biological tissues based on the radiative transfer equation (RTE). The forward problem is accustomed to describing photon propagation in biological tissues and the inverse problem is used to reconstruct internal source distribution from the signal detected on the external surface. We also introduce the detailed derivation of the RTE and Robin boundary condition and discretization of the forward problem, along with the reconstruction methods and iterative solution algorithms summarized for the inverse problem. Finally, the current and future challenges of optical molecular imaging are discussed. This survey aims to construct a mathematical method, a state-of-the-art framework for optical molecular imaging, from which future research may benefit.
Starting Page 1
Ending Page 13
Page Count 13
File Format PDF
ISSN 1674733X
Journal Science in China Series : Information Sciences
Volume Number 58
Issue Number 3
e-ISSN 18691919
Language Chinese
Publisher Science China Press
Publisher Date 2015-01-09
Publisher Place Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword radiative transfer equation (RTE) regularization method source reconstruction optical molecular imaging mathematical method Information Systems and Communication Service
Content Type Text
Resource Type Article
Subject Computer Science
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