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The setup_file is an XML file that is the information about the installation. To change what is installed, just add or remove some of the elements to the setup_file. You could, for example, add a feature to the setup_file to allow you to specify a manual uninstaller.
“addons_updates” requires a product ID which you will need to register with Adobe to obtain, and you will have to pay to get the ID.
If you remove “addons_updates” from the XML file, then all that will happen is that some of the updates and installer items that are already installed will no longer be installed.
For the most part, the XML file is just like a comment file that is visible to Adobe when they install the program. If you want to learn more about the XML file, you can read about this in Adobe’s documentation: XML File (Acrobat and Adobe Reader Help). There is also a sample XML file in the Adobe Help system (sample XML file).
Synchrony-consistent diffusion tensor imaging algorithm using dedicated multi-resolution and multi-directional anisotropy models.
This article proposes a new diffusion tensor imaging (DTI) algorithm that solves the undetermined anisotropy in DTI. It is based on multi-resolution and multi-directional anisotropy (MRA) models, and adopts a non-local filtering technique to efficiently improve the angular resolution of the diffusion tensor field. The proposed algorithm can approximately restore the full anisotropy matrix that includes both local and non-local anisotropic information from the coarse to fine diffusion tensor fields. It is proved that the anisotropy matrix reconstructed by the new algorithm is diffused synchronously with the original anisotropy, and consists of the same local and non-local anisotropic values. Simulations as well as in vivo experiments show that the proposed algorithm gives satisfactory results, while avoiding under-sampling artifacts caused by local sub-sampling. The proposed algorithm is simple and straightforward to implement and has the potential to improve the accuracy and efficiency of DTI algorithm, especially for tractography.Q:
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