Showing 4 open source projects for "compression"

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    DcmStoreService

    DcmStoreService

    A lightweight and robust Dicom server to archive medical images

    Dicom storage service - DcmStoreService is a lightweight and robust package for implementing the Dicom Storage SCP Service. The application (C++ compiled x86/x64) runs on computer as automatic MS Windows system service (24 hrs). It has a variety of customizable options.
    Downloads: 8 This Week
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  • 2

    Enhanced SAR Compression

    VOP Algorithm with improved speed and compression

    This work is described in: Orzada S, Fielder TM, Quick HH, Ladd ME, "A local SAR compression algorithm with improved compression, speed and flexibility", https://doi.org/10.1002/mrm.28739. This new algorithm is an iterative expansion of the exisisting local SAR compression algorithm for MRI proposed by Lee et al. ( https://doi.org/10.1002/mrm.23140) The number of VOPs is approximately halved with the new algorithm, while at the same time the compression time is reduced with speed-up factors of up to 2.5.
    Downloads: 0 This Week
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  • 3

    VOP post-processing

    Post-processing algorithms for SAR compression

    Here we introduce to algorithms for post-processing of VOP sets. Algorithm 1 reduces the Overestimation for a given set of VOPs. Especially useful to reduce the overestimation in VOP sets calculated with the compression algorithms by Lee et al. and Orzada et al. Algorithm 2 tests a given set of VOPs for redundancy. It can be used to reduce the number of VOPs in a dataset produced by Eichfelder and Gebhardt's algorithm. Especially useful when you have a vendor provided VOP set only.
    Downloads: 0 This Week
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  • 4

    Relative Overestimation VOP

    VOP compression for MRI with overestimation control

    **** This work is outdated! For better compression and speed use these: ***** https://sourceforge.net/projects/enhanced-sar-compression/ Virtual Observation Points SAR compression. Contains multiple Algorithms: Compression according to Eichfelder et al. and Lee et al. The Lee algorithm is enhanced by including overestimation control to reduce maximum relative overestimation.
    Downloads: 0 This Week
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