By Fei Gao, Kuangyu Shi, Shuo Li
This quantity includes unique submissions at the improvement and alertness of molecular imaging computing. The editors invited authors to post high quality contributions on quite a lot of issues together with, yet now not restricted to:
• photo Synthesis & Reconstruction of Emission Tomography (PET, SPECT) and different Molecular Imaging Modalities
• Molecular Imaging Enhancement
• info research of medical & Pre-clinical Molecular Imaging
• Multi-Modal photograph Processing (PET/CT, PET/MR, SPECT/CT, etc.)
• desktop studying and information Mining in Molecular Imaging.
Molecular imaging is an evolving medical and study self-discipline allowing the visualization, characterization and quantification of organic strategies happening on the mobile and subcellular degrees inside of intact dwelling topics. Computational equipment play an enormous function within the improvement of molecular imaging, from photograph synthesis to facts research and from medical analysis to remedy individualization.
This paintings will carry readers from academia and modern at the latest advancements during this field.
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This quantity includes unique submissions at the improvement and alertness of molecular imaging computing. The editors invited authors to post top of the range contributions on quite a lot of subject matters together with, yet no longer restricted to:• photo Synthesis & Reconstruction of Emission Tomography (PET, SPECT) and different Molecular Imaging Modalities• Molecular Imaging Enhancement• info research of medical & Pre-clinical Molecular Imaging• Multi-Modal photo Processing (PET/CT, PET/MR, SPECT/CT, and so on.
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Extra resources for Computational Methods for Molecular Imaging
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Dowson et al. 2 Noise Level Fig. 3 Results of experiments on synthetic data. Plots of a mean cost function and b computational cost as a function of iteration are shown. Also c mean cost function and d mean root mean square error in k are shown as a function of noise level The real-data experiment used an available image of a late stage glioma patient imaged using 6-[18F] fluoro-l-dopa (FDOPA) on a Phillips Gemini GXL scanner. The scan consisted of eight 15 s frames, two 30 s frames, two 1 min frames and fourteen 5 min frames.
Phys. 8(2), 93–109 (2007) 5. : Coregistered FDG PET/CT-based textural characterization of head and neck cancer for radiation treatment planning. IEEE Trans. Med. Imaging. 28(3), 374–383 (2009) 6. : Automated tumor delineation using joint PET/CT information. In: SPIE Med. Imaging (2007) 7. : Fuzzy connected object delineation: axiomatic path strength definition and the case of multiple seeds. Comput. Vis. Image Underst. 83(3), 275–295 (2001) 8. : Fuzzy connectedness image segmentation in graph cut formulation: a linear-time algorithm and a comparative analysis.