At first glance, medical imaging technology and web may appear to be incompatible technologies because of non-standard medical-image bit depths and the huge amount of data associated with even just one DICOM dataset. However, as demonstrated with this last release, the engineers at LEAD Technologies continue to develop frameworks, technologies and algorithms that provide HTML5 developers tools to work with medical images over the wire, while still ensuring great UX for their users.
With input from numerous customer requests, structured display, templates and custom layouts have been added to the HTML5 Medical Viewer. With these features, the end-user can design custom display templates choosing from three ways to arrange series images: sequentially, DICOM instance number or custom alternative with JavaScript. Users can save the templates to a LEADTOOLS storage server as a DICOM structured display dataset; the LEADTOOLS Medical Viewer will use this to render series.