Computational and Mathematical Methods in Medicine

Computational Methodology of Optical Molecular Imaging


Publishing date
24 May 2013
Status
Published
Submission deadline
04 Jan 2013

Lead Editor

1Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

2Center for Molecular Imaging, University of Texas Health Science Center at Houston, Houston, TX 77030, USA

3School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710126, China

4College of Chemistry, Nankai University, Tianjin 300071, China

5Department of Radiology, Union Hospital, Chinese Academy of Medical Sciences and Peking, Union Medical College, Beijing 100730, China


Computational Methodology of Optical Molecular Imaging

Description

As a rapidly developed discipline, optical molecular imaging combines advanced optics technology and modern molecular biology to provide a state-of-art tool for preclinical biomedical research, in view of its ability to noninvasively visualize in vivo physiological and pathological processes involved in normal and suffering organisms at the cellular and molecular levels. Medicine studies, such as tumor detection, drug development, and gene therapy, have been continuously promoted based on research progresses on computational methodology of optical molecular imaging.

The main focus of this special issue will be on the development of the computational methodology in optical molecular imaging field, especially novel imaging theories and algorithms. It is also interesting to have quantitative comparison and analysis of new molecular image processing methods for a specific clinical problem. Computational methods used to predict affinity in the optical imaging probe development are welcome. In addition, systems and applications based on innovative optical molecular imaging methods would be of great interest. The special issue will construct an international platform and serve as a forum for researchers to summarize and discuss recent advances in the past few years. Potential topics include, but are not limited to:

  • Computational methods of photon propagation in tissues
  • Reconstruction methods of optical tomography
  • Optical molecular imaging system based on novel computational methods
  • Computational methods used for the development of optical probes
  • Medicine research by optical molecular imaging
  • Multimodality fusion of optical molecular imaging
  • Computational and mathematical methods of other optical imaging modalities

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