Medical Viewer SDK Technology

LEADTOOLS includes several Medical Viewers to display DICOM data sets and pixel data with features focused on the medical community. Each of these viewers display DICOM images and include advanced medical-specific features such as multi-cell and sub-cell layouts, 16-bit extended grayscale, window leveling, image stack, metadata tags, annotations and markup, reference lines, and cine. Many .NET (C# & VB), C/C++, and web developers depend on these controls for medical imaging, allowing them to focus on the business logic side of their development.

Programmers using LEADTOOLS for their medical image viewing requirements have incredible flexibility with both high and low-level controls. LEADTOOLS includes OEM-ready viewer frameworks perfect for developers and project managers in need of real-world solutions with minimal coding.

What Medical Viewer Technology do you need?

DICOM Viewer Control

The LEADTOOLS DICOM Viewer is a high-level component to add medical image display technology to applications such as view stations, teleradiology solutions, and high-end diagnostic workstations. The DICOM Viewer control is available for most platforms, including .NET, C/C++, iOS, macOS, and Android.

HTML5/JavaScript Zero-footprint DICOM Viewer

The LEADTOOLS HTML5/JavaScript Zero-footprint DICOM Viewer is an OEM-ready, fully customizable web application that is perfect for any developer that needs a fast, lightweight DICOM viewer that includes the features that health care professionals demand.

PACS Workstation Framework

The PACS Workstation Framework is a comprehensive framework that includes .NET components and an OEM-ready PACS Workstation solution. It is the culmination of more than a decade of medical-imaging development experience and direct collaboration with health care institutions to create a product that meets the real-world requirements of hospitals, practices, and radiology/imaging departments.

Technology Related to Medical Viewer

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Supported Development Platforms for Medical Viewer

Code Tips That use Medical Viewer

White Papers Written About Medical Viewer

  • HTML5 Zero-footprint Viewer for DICOM and PACS

    The demand for zero-footprint applications is growing rapidly, especially in the health care industry with the increasing popularity and usage of tablets and mobile devices by health care providers. There are many ways to display DICOM images and communicate with a PACS over the web or intranet in a zero-footprint manner, but not all applications are created equal. Any zero-footprint application must do a significant portion of work at the server, but this typically causes a tradeoff in features and performance for which developers must find the proper balance. LEADTOOLS overcomes these problems with an advanced AngularJS framework that is able to query any PACS and window level and annotate 16-bit grayscale images on an HTML5 canvas.

Demo Applications that Include Medical Viewer

HTML5/JavaScript Medical Web Viewer Framework

A zero-footprint Medical viewer to display DICOM images (pixel data) with window level, stack, annotations/markup, and multi-touch support for phone, tablet, and desktop.

Note: If you have your own test images that you would like to upload into the application, contact support@leadtools.com to have a private user profile created.

HTML5/JavaScript Dental Web Viewer Framework

A zero-footprint dental viewer to display DICOM images with specialized features for dental that include Endo, Perio, Dentin, and FMX layouts. Additionally shows multi-touch support for phone, tablet, and desktop.

Android Medical Web Viewer App Android

The LEADTOOLS Medical Web Viewer is a zero footprint solution for viewing DICOM Images with Window Level, Stack, annotations/markup, and multi-touch support.

iOS Medical Web Viewer App iOS

The LEADTOOLS Medical Web Viewer is a zero footprint solution for viewing DICOM Images with Window Level, Stack, annotations/markup, and multi-touch support.

Screenshots of Medical Viewer

Medical Viewer

Medical Viewer

Medical HTML5/JavaScript Viewer

Medical HTML5/JavaScript Viewer

PACS Workstation Viewer

PACS Workstation Viewer

Videos of Medical Viewer

LEADTOOLS HTML5/JavaScript Medical Viewer Speedup in April Update

In the recent April 2016 LEADTOOLS Version 19 free update, we significantly improved the speed of loading a series in the HTML5/JavaScript, Zero Footprint Medical Viewer. Watch this side-by-side comparison to see just how much faster it is!

LEADTOOLS SDK Products that Include Medical Viewer

LEADTOOLS Medical Imaging v20

Develop powerful Medical Imaging applications with the LEADTOOLS Medical Imaging SDK. Features include comprehensive DICOM data set support, 8-16 bit extended grayscale image support, image annotation, specialized extended grayscale image display such as window level and LUT processing, and medical-specific image processing. Other features include lossless JPEG compression, and signed and unsigned image data processing.

LEADTOOLS PACS Imaging v20

Develop robust DICOM PACS applications with LEADTOOLS PACS Imaging. Features include Medical Web Viewer Framework, high and low-level PACS SCP and SCU functions and controls, secure PACS communication, comprehensive DICOM data set support, image annotation, extended grayscale image display such as window level and LUT processing, and specialized medical image processing. Other features include lossless JPEG compression, JPIP, MRTI, and signed and unsigned image data processing.

LEADTOOLS Medical Imaging Suite v20

Develop powerful PACS and Medical imaging applications with LEADTOOLS Medical Imaging Suite. Features include LEAD's Zero-footprint HTML5 DICOM Viewer, Medical Web Viewer Framework, Medical 3D, DICOM Multimedia codecs, high and low-level PACS SCP and SCU functions and controls, secure PACS communication, Print to PACS, comprehensive DICOM data set support, image annotation, extended grayscale image display such as window level and LUT processing, DICOM Hanging Protocol, and specialized medical image processing. Other features include lossless JPEG compression, JPIP, and signed and unsigned image data processing.