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Hybrid Imaging: Instrumentation and Data Processing

Jacobo Cal-Gonzalez, Ivo Rausch, Lalith K. Shiyam Sundar, Martin L. Lassen, Otto Muzik, Ewald Moser, Laszlo Papp, Thomas Beyer
2018 Frontiers in Physics  
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

A. Sotiras, C. Davatzikos, N. Paragios
2013 IEEE Transactions on Medical Imaging  
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

Carlo Biffi, Daniel Rueckert, Declan O'Regan, Stuart Cook, British Heart Foundation
2020
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