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 publish top quality contributions on quite a lot of issues together with, yet now not restricted to:
• photograph Synthesis & Reconstruction of Emission Tomography (PET, SPECT) and different Molecular Imaging Modalities
• Molecular Imaging Enhancement
• facts research of medical & Pre-clinical Molecular Imaging
• Multi-Modal photograph Processing (PET/CT, PET/MR, SPECT/CT, etc.)
• computing device studying and information Mining in Molecular Imaging.
Molecular imaging is an evolving scientific and study self-discipline allowing the visualization, characterization and quantification of organic approaches occurring on the mobile and subcellular degrees inside of intact dwelling topics. Computational equipment play an enormous position within the improvement of molecular imaging, from picture synthesis to information research and from scientific prognosis to treatment individualization.
This paintings will deliver readers from academia and modern at the most up-to-date advancements during this field.
Read or Download Computational Methods for Molecular Imaging PDF
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Additional info for Computational Methods for Molecular Imaging
Pharmacol. 42(3), 183–93 (1998). 1007/s002800050804 11. : Signal-to-noise gain at variable randoms ratio in TOF PET. IEEE Trans. Nucl. Sci. 59(5), 1948–1957 (2012). 2012. 2198833 12. : A simplex method for function minimization. Comput. J. 7(4), 308–313 (1965). 308 13. : Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. J. Cereb. Blood Flow Metabol. 3(1), 1–7 (1983). 1 14. : Tomographic measurement of local cerebral glucose metabolic rate in humans with (f-18)2-fluoro-2deoxy-d-glucose: Validation of method.
Med. 49(11), 1875–1883 (2008) Large Scale Simplex Optimisation to Accelerate Kinetic Analysis Nicholas Dowson, Paul Thomas, Jye Smith, Olivier Salvado and Stephen Rose Abstract Although Positron Emission Tomography images are implicitly dynamic and the temporal variation of tracers often holds relevant information, kinetic analysis of the data is seldom performed due to its computational expense, especially when flexible ODE-based formulations are used. Kinetic analysis at the voxel scale remains expensive even with recent formulations relying on the closed form summation of convolution of exponentials.
For computational simplicity, we treat the three-dimensional tomogram as a stack of two-dimensional slices, which are reconstructed individually and then stacked together again to a three-dimensional tomogram. 2 Formulation as an Optimization Problem The tomographic reconstruction problem of solving b = Ax for the unknown x in cryo-ET is underdetermined due to the limited tilt angles, as well as ill-posed, for example due to the measurement noise. Hence a direct solution is not feasible. Instead, a least squares approach is adopted to find an approximate solution 46 S.
Computational Methods for Molecular Imaging by Fei Gao, Kuangyu Shi, Shuo Li