Oladiran, OlakunleGichoya, JudyPurkayastha, Saptarshi2018-03-222018-03-222017Oladiran, O., Gichoya, J., & Purkayastha, S. (2017). Conversion of JPG Image into DICOM Image Format with One Click Tagging. In Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Health and Safety (pp. 61–70). Springer, Cham. https://doi.org/10.1007/978-3-319-58466-9_6https://hdl.handle.net/1805/15681DICOM 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.enIUPUI Open Access Policymedical informaticsradiology informaticsDICOMArticle