CALL FOR PAPERS - SPECIAL ISSUE: Computerized Methods in Molecular Imaging Analytics
Computerized Methods in Molecular Imaging Analytics
Call for Papers
New contrast agents and molecular imaging techniques have revealed more detailed and advanced information about physiological and pathological activities. Due to the increasing amount of data produced by these latest imaging technologies, computerized methods that intelligently process the knowledge have become a research area of broad and current interest. Recent progress in computer vision and machine learning algorithms has enabled more efficient and accurate analysis of images from various sources. Facing the unique challenges posed by state-of-the-art molecular imaging, the appropriate design and application of these methods in molecular imaging analytics is of great importance for further decision making under clinical and research settings.
This special issue aims at presenting a multidisciplinary discussion on the application of recent advances in computerized algorithms in the study of data produced by new molecular imaging techniques, which pose new and growing challenges to conventional ways of analysis. Papers are expected to bring together researchers in both the field of molecular imaging and medical image analysis. This special issue welcomes high quality original researches and review efforts that cover the essence of molecular imaging analytics. It will let the readers of this journal know more about the latest imaging techniques, their unique challenges, and potential methods for addressing these challenges.
Potential topics include but are not limited to the following:
- State-of-the-art computerized analysis methods in addressing special challenges from recent development of molecular imaging
- Advances in new molecular imaging instrumentation and their unique imaging features
- Pharmacokinetics and computational simulation of new contrast agents and imaging features
- Image enhancement for molecular imaging
- Image segmentation and quantification for molecular imaging
- Image feature extraction and pattern recognition for molecular imaging
- Computer-aided diagnostics and imaging biomarker identification using molecular imaging
- Quantification and image analysis methods for hybrid imaging technologies such as PET/CT and MRI/PET.
|Manuscript Due||Friday, 14 April 2017|
|First Round of Reviews||Friday, 7 July 2017|
|Publication Date||Friday, 1 September 2017|
- Ziyue Xu, National Institutes of Health, Bethesda, USA
- Ulas Bagci, University of Central Florida, Orlando, USA
- Xinjian Chen, Soochow University, Suzhou, China
- Kuangyu Shi, Technische UniversitÃ¤t MÃ¼nchen, Munich, Germany
- Georgios Z. Papadakis, Institute of Computer Science (ICS), Heraklion, Greece