The Experts below are selected from a list of 81 Experts worldwide ranked by ideXlab platform
Peter Kellman - One of the best experts on this subject based on the ideXlab platform.
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Free breathing myocardial perfusion data sets for performance analysis of motion compensation algorithms
GigaScience, 2014Co-Authors: Gert Wollny, Peter KellmanAbstract:Background Perfusion quantification by using first-pass gadolinium-enhanced myocardial perfusion magnetic resonance imaging (MRI) has proved to be a reliable tool for the diagnosis of coronary artery disease that leads to reduced blood flow to the myocardium. The image series resulting from such acquisition usually exhibits a breathing motion that needs to be compensated for if a further automatic analysis of the perfusion is to be executed. Various algorithms have been presented to facilitate such a motion compensation, but the lack of publicly available data sets hinders a proper, reproducible comparison of these algorithms. Material Free breathing perfusion MRI series of ten patients considered clinically to have a stress perfusion defect were acquired; for each patient a rest and a stress study was executed. Manual segmentations of the left ventricle myocardium and the right-left ventricle insertion point are provided for all images in order to make a unified validation of the motion compensation algorithms and the perfusion analysis possible. In addition, all the scripts and the software required to run the experiments are provided alongside the data, and to enable interested parties to directly run the experiments themselves, the test bed is also provided as a Virtual Hard Disk. Findings To illustrate the utility of the data set two motion compensation algorithms with publicly available implementations were applied to the data and earlier reported results about the performance of these algorithms could be confirmed. Conclusion The data repository alongside the evaluation test bed provides the option to reliably compare motion compensation algorithms for myocardial perfusion MRI. In addition, we encourage that researchers add their own annotations to the data set, either to provide inter-observer comparisons of segmentations, or to make other applications possible, for example, the validation of segmentation algorithms.
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Free breathing myocardial perfusion data sets for performance analysis of motion compensation algorithms
GigaScience, 2014Co-Authors: Gert Wollny, Peter KellmanAbstract:Perfusion quantification by using first-pass gadolinium-enhanced myocardial perfusion magnetic resonance imaging (MRI) has proved to be a reliable tool for the diagnosis of coronary artery disease that leads to reduced blood flow to the myocardium. The image series resulting from such acquisition usually exhibits a breathing motion that needs to be compensated for if a further automatic analysis of the perfusion is to be executed. Various algorithms have been presented to facilitate such a motion compensation, but the lack of publicly available data sets hinders a proper, reproducible comparison of these algorithms. Free breathing perfusion MRI series of ten patients considered clinically to have a stress perfusion defect were acquired; for each patient a rest and a stress study was executed. Manual segmentations of the left ventricle myocardium and the right-left ventricle insertion point are provided for all images in order to make a unified validation of the motion compensation algorithms and the perfusion analysis possible. In addition, all the scripts and the software required to run the experiments are provided alongside the data, and to enable interested parties to directly run the experiments themselves, the test bed is also provided as a Virtual Hard Disk. To illustrate the utility of the data set two motion compensation algorithms with publicly available implementations were applied to the data and earlier reported results about the performance of these algorithms could be confirmed. The data repository alongside the evaluation test bed provides the option to reliably compare motion compensation algorithms for myocardial perfusion MRI. In addition, we encourage that researchers add their own annotations to the data set, either to provide inter-observer comparisons of segmentations, or to make other applications possible, for example, the validation of segmentation algorithms.
Gert Wollny - One of the best experts on this subject based on the ideXlab platform.
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Free breathing myocardial perfusion data sets for performance analysis of motion compensation algorithms
GigaScience, 2014Co-Authors: Gert Wollny, Peter KellmanAbstract:Background Perfusion quantification by using first-pass gadolinium-enhanced myocardial perfusion magnetic resonance imaging (MRI) has proved to be a reliable tool for the diagnosis of coronary artery disease that leads to reduced blood flow to the myocardium. The image series resulting from such acquisition usually exhibits a breathing motion that needs to be compensated for if a further automatic analysis of the perfusion is to be executed. Various algorithms have been presented to facilitate such a motion compensation, but the lack of publicly available data sets hinders a proper, reproducible comparison of these algorithms. Material Free breathing perfusion MRI series of ten patients considered clinically to have a stress perfusion defect were acquired; for each patient a rest and a stress study was executed. Manual segmentations of the left ventricle myocardium and the right-left ventricle insertion point are provided for all images in order to make a unified validation of the motion compensation algorithms and the perfusion analysis possible. In addition, all the scripts and the software required to run the experiments are provided alongside the data, and to enable interested parties to directly run the experiments themselves, the test bed is also provided as a Virtual Hard Disk. Findings To illustrate the utility of the data set two motion compensation algorithms with publicly available implementations were applied to the data and earlier reported results about the performance of these algorithms could be confirmed. Conclusion The data repository alongside the evaluation test bed provides the option to reliably compare motion compensation algorithms for myocardial perfusion MRI. In addition, we encourage that researchers add their own annotations to the data set, either to provide inter-observer comparisons of segmentations, or to make other applications possible, for example, the validation of segmentation algorithms.
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Free breathing myocardial perfusion data sets for performance analysis of motion compensation algorithms
GigaScience, 2014Co-Authors: Gert Wollny, Peter KellmanAbstract:Perfusion quantification by using first-pass gadolinium-enhanced myocardial perfusion magnetic resonance imaging (MRI) has proved to be a reliable tool for the diagnosis of coronary artery disease that leads to reduced blood flow to the myocardium. The image series resulting from such acquisition usually exhibits a breathing motion that needs to be compensated for if a further automatic analysis of the perfusion is to be executed. Various algorithms have been presented to facilitate such a motion compensation, but the lack of publicly available data sets hinders a proper, reproducible comparison of these algorithms. Free breathing perfusion MRI series of ten patients considered clinically to have a stress perfusion defect were acquired; for each patient a rest and a stress study was executed. Manual segmentations of the left ventricle myocardium and the right-left ventricle insertion point are provided for all images in order to make a unified validation of the motion compensation algorithms and the perfusion analysis possible. In addition, all the scripts and the software required to run the experiments are provided alongside the data, and to enable interested parties to directly run the experiments themselves, the test bed is also provided as a Virtual Hard Disk. To illustrate the utility of the data set two motion compensation algorithms with publicly available implementations were applied to the data and earlier reported results about the performance of these algorithms could be confirmed. The data repository alongside the evaluation test bed provides the option to reliably compare motion compensation algorithms for myocardial perfusion MRI. In addition, we encourage that researchers add their own annotations to the data set, either to provide inter-observer comparisons of segmentations, or to make other applications possible, for example, the validation of segmentation algorithms.
Fangohr Hans - One of the best experts on this subject based on the ideXlab platform.
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Virtual Micromagnetics: A Framework for Accessible and Reproducible Micromagnetic Simulation
'Ubiquity Press Ltd.', 2016Co-Authors: Vousden Mark, Bisotti Marc-antonio, Albert Maximilian, Fangohr HansAbstract:Computational micromagnetics requires numerical solution of partial differential equations to resolve complex interactions in magnetic nanomaterials. The Virtual Micromagnetics project described here provides Virtual machine simulation environments to run open-source micromagnetic simulation packages. These environments allow easy access to simulation packages that are often difficult to compile and install, and enable simulations and their data to be shared and stored in a single Virtual Hard Disk file, which encourages reproducible research. Virtual Micromagnetics can be extended to automate the installation of micromagnetic simulation packages on non-Virtual machines, and to support closed-source and new open-source simulation packages, including packages from disciplines other than micromagnetics, encouraging reuse. Virtual Micromagnetics is stored in a public GitHub repository under a three-clause Berkeley Software Distribution (BSD) license.Comment: 12 pages, 1 figur
Hans Fangohr - One of the best experts on this subject based on the ideXlab platform.
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Virtual Micromagnetics: A Framework for Accessible and Reproducible Micromagnetic Simulation
Journal of Open Research Software, 2016Co-Authors: Mark Vousden, Marc-antonio Bisotti, Maximilian Albert, Hans FangohrAbstract:Computational micromagnetics requires numerical solution of partial differential equations to resolve complex interactions in magnetic nanomaterials. The Virtual Micromagnetics project described here provides Virtual machine simulation environments to run open-source micromagnetic simulation packages [1]. These environments allow easy access to simulation packages that are often difficult to compile and install, and enable simulations and their data to be shared and stored in a single Virtual Hard Disk file, which encourages reproducible research. Virtual Micromagnetics can be extended to automate the installation of micromagnetic simulation packages on non-Virtual machines, and to support closed-source and new open-source simulation packages, including packages from disciplines other than micromagnetics, encouraging reuse. Virtual Micromagnetics is stored in a public GitHub repository under a three-clause Berkeley Software Distribution (BSD) license
Valenzuela-urra Cristian - One of the best experts on this subject based on the ideXlab platform.
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Document database managed with WinIsis on Dropbox
2014Co-Authors: Rueda-vildoso Hugo, Valenzuela-urra CristianAbstract:Description of an integration of Unesco's WinIsis database management system, with Dropbox acting as a "Virtual Hard Disk" on the cloud. The case of Facso, a database of the minutes of the Board of the Faculty of Social Sciences, and other documents, is studied. Various routing options are shown, even incorporating the old executables .bat from Ms-dos. This has been tested on Windows XP, Windows 7, Windows 8 64-bit using Oracle's Virtual box, PC, notebook and 32-bit netbook
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Base de datos documental gestionada con Winisis en Dropbox
2014Co-Authors: Rueda-vildoso Hugo, Valenzuela-urra CristianAbstract:We describe the case of Facso, a database of the minutes and other documents of the Board of the Faculty of Social Sciences, which illustrates the integration of Unesco’s WinIsis database management system with Dropbox acting as a “Virtual Hard Disk” on the cloud. Various routing options are shown, even incorporating the old Ms-dos .bat executable commands. This has been tested in a 64-bit version with Windows XP, Windows 7, and Windows 8 using Oracle’s Virtual Box, and on 32-bit PC desktop, notebook, and netbook platforms
