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CCP SyneRBI SIRF

Authors: Ovtchinnikov, Evgueni; Brown, Richard; Mayer, Johannes; Pasca, Edoardo; da Costa-Luis, Casper O.; Atkinson, David; Kolbitsch, Christoph; +10 Authors

CCP SyneRBI SIRF

Abstract

v3.1.0 MR/Gadgetron Golden-angle radial phase encoding (RPE) trajectory is supported if Gadgetron toolboxes were found during building<br /> WARNING if Gadgetron was compiled with CUDA support, you need to build SIRF with the Gadgetron_USE_CUDA CMake variable set to ON. Automatic calling of sort_by_time() in most places. This ensures that only consistent images are reconstructed. Encoding classes perform the Fourier transformations instead of the MRAcquisitionModel CoilSensitivitiesVector class now has forward and backward method using the encoding classes getting rid of the duplicate FFT code used to compute coil sensitivities from MRAcquisitionData. Added constructor for GadgetronImagesVector from MRAcquisitionData. This allows setting up an MR acquisition model without having to perform a reconstruction first. PET/STIR iterative reconstructors set_current_estimate and get_current_estimate now create a clone to avoid surprising modifications of arguments. The old behaviour of set_current_estimate can still be achieved by set_estimate.<br> Warning This is backwards incompatible, but arguably a bug fix. SIRF Python interface range_geometry and domain_geometry methods of AcquisitionModel classes, required by CIL algorithms, now obtain data via respective C++ AcquisitionModel classes accessors, in line with our strategy of keeping interface code minimal sirf.Gadgetron.AcquisitionData.get_info was renamed to get_ISMRMRD_info to avoid confusion with the other get_info() methods that return a string. (get_info still works but issues a deprecation warning). Build system fix bug with older CMake (pre-3.12?) that the Python interface was not built #939.

Keywords

medical-imaging, pet-mr, image-reconstruction

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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