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Item Conversion of JPG Image into DICOM Image Format with One Click Tagging(Springer, 2017) Oladiran, Olakunle; Gichoya, Judy; Purkayastha, Saptarshi; BioHealth Informatics, School of Informatics and ComputingDICOM images are the centerpiece of radiological imaging. They contain a lot of metadata information about the patient, procedure, sequence of images, device and location. To modify, annotate or simply anonymize images for distribution, we often need to convert DICOM images to another format like jpeg since there are a number of image manipulation tools available for jpeg images compared to DICOM. As part of a research at our institution to customize radiology images to assess cognitive ability of multiple user groups, we created an open-source tool called Jpg2DicomTags, which is able to extract DICOM metadata tags, convert images to lossless jpg that can be manipulated and subsequently reconvert jpg images to DICOM by adding back the metadata tags. This tool provides a simple, easy to use user-interface for a tedious manual task that providers, researchers and patients might often need to do.Item Creation and Curation of the Society of Imaging Informatics in Medicine Hackathon Dataset(Springer Nature, 2018-02) Kohli, Marc; Morrison, James J.; Wawira, Judy; Morgan, Matthew B.; Hostetter, Jason; Genereaux, Brad; Hussain, Mohannad; Langer, Steve G.; Radiology and Imaging Sciences, School of MedicineIn order to support innovation, the Society of Imaging Informatics in Medicine (SIIM) elected to create a collaborative computing experience called a "hackathon." The SIIM Hackathon has always consisted of two components, the event itself and the infrastructure and resources provided to the participants. In 2014, SIIM provided a collection of servers to participants during the annual meeting. After initial server setup, it was clear that clinical and imaging "test" data were also needed in order to create useful applications. We outline the goals, thought process, and execution behind the creation and maintenance of the clinical and imaging data used to create DICOM and FHIR Hackathon resources.