Have you downloaded the latest evaluation of LEADTOOLS yet? There is no better time than now, as we recently introduced a lot of exciting new features in our update to LEADTOOLS V22!

In a previous post, we took a deep-dive into the NEW LEADTOOLS eSignature technology that is ready to use within our Document Viewer. Today we're going to spotlight some important additions to our Medical toolkit including new methods for loading DICOM files to the Medical Web Viewer control that use inputs defined by the DICOM Specification. The Control properties, Pixel Data and JSON, as well as the events, Load Metadata and Load Instance, connect the front and back-end of the application using the WADO (Web Access to DICOM Object) standard.

DICOM is the leading standard to store and transmit medical information and images. LEADTOOLS offers a feature packed zero-footprint DICOM viewer to display DICOM images and studies from all disciplines and modalities. Our customizable web solution is perfect for any developer that needs a fast DICOM viewer with advanced features such as 3D volume rendering, DICOM Overlay, Softcopy Presentation State, and so much more.

Yesterday, we introduced LEADTOOLS Version 20 and its new development platforms to you. Today we're diving into the features.

Overall, the toolkit is faster and more efficient, and major areas of focus in this release were the Recognition Engines, Document Viewer, Document Formats, Medical Web Viewer, and Hanging Protocols.

LEAD keeps pushing the limits with LEADTOOLS Version 19 and has released another update full of speed and accuracy optimizations throughout the product line. Though speed and accuracy is a major theme throughout this update, it isn't the only notable improvement. Many completely new features, tools, and support for new specifications are also included. Check out the list below for the full run-down on what our LEADTOOLS developers have been up to, making sure you have the world's leading imaging SDK at your fingertips.

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.