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Hybrid Imaging: Instrumentation and Data Processing
2018
Frontiers in Physics
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The physical combination of formerly independent imaging modalities was driven by leading innovators in the field of clinical research and benefited from technological advances that permitted the operation ...
and biological information, such as new types of image reconstruction and data correction schemes. ...
Ladefoged for kindly providing us with the image data for Figure 6 and Jun Bao for providing us with the technical specifications of the uMI PET/CT systems. ...
doi:10.3389/fphy.2018.00047
fatcat:zd6zgyynnvgurozph22yadz7ga
Deformable Medical Image Registration: A Survey
2013
IEEE Transactions on Medical Imaging
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Deformable image registration is a fundamental task in medical image processing. ...
; 2) longitudinal studies, where temporal structural or anatomical changes are investigated; and 3) population modeling and statistical atlases used to study normal anatomical variability. ...
The second method used Laplacian Eigenmaps to embed the patches in a lower-dimensional manifold that preserves local distances. ...
doi:10.1109/tmi.2013.2265603
pmid:23739795
pmcid:PMC3745275
fatcat:svbac4wihzhylmlntlodzrmple
Machine learning approaches to model cardiac shape in large-scale imaging studies
2020
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Recent improvements in non-invasive imaging, together with the introduction of fully-automated segmentation algorithms and big data analytics, has paved the way for large-scale population-based imaging ...
Finally, a preliminary analysis of a deep learning system capable of reconstructing 3D high-resolution cardiac segmentations from a sparse set of 2D views segmentations is reported. ...
Laplacian Eigenmaps [284] . ...
doi:10.25560/83742
fatcat:uvilmm5fx5h6xd46ccmtxhbqa4