Annotation SDK Technology for Medical Images and DICOM

LEADTOOLS medical imaging SDKs offer annotations specifically designed for DICOM and medical applications to .NET (C# & VB), C/C++, iOS, macOS, Linux, Java, and web developers. LEADTOOLS medical image and DICOM annotations can be used to markup an image without changing the image data.

Overview of LEADTOOLS Medical Annotation SDK Technology

  • Radiologist-style annotations are included in the Medical Image Viewer and Medical Workstation Viewer controls
  • Broad range of medical image annotation objects, including text, geometric shapes, rulers, audio, and video
  • Image annotations can be added to DICOM, bitonal, color, and grayscale images
  • Draw image annotations to a presentation layer or permanently burn onto the bitmap
  • Protect sensitive information with powerful redaction and encryption objects
  • Control access and design rights with annotation security
  • Customize existing or create new medical image annotation object types
  • Medical image annotation behaviors can be fully automated or manually implemented for maximum control
  • Snap-to-grid and alignment UI
  • Supports single and multi-page image files
  • Flexible annotation object storage options include DICOM data sets (Grayscale Softcopy Presentation State), image files, separate annotation files, database, memory, and XML
  • Unlimited undo and redo levels
  • Full support for native DICOM and proprietary LEADTOOLS annotations
  • Medical image annotation technology available as .NET classes, C DLL API, C++ classes, iOS, macOS, Android, HTML5/JavaScript libraries, and WPF controls
  • Comprehensive multithread support for maximum performance
  • Native 32 and 64-bit binaries for medical image annotation development

Specialized Medical Imaging Annotation Objects

  • Audio
  • Video
  • Cross Product
  • Encryption
  • Freehand
  • Pointer
  • Polyruler
  • Protractor
  • Redaction
  • Ruler
  • Text
  • Text Pointer

Full list of objects

DICOM Annotation Objects

Several annotation objects can be stored as LEADTOOLS annotations or converted to DICOM annotations and stored in a DICOM data set with the Graphic Annotation Module and Grayscale Softcopy Presentation State IOD. The following objects can be converted between LEADTOOLS and DICOM annotation types:

  • Closed Curve
  • Curve
  • Ellipse
  • Freehand
  • Line
  • Point
  • Pointer
  • Polygon
  • Polyline
  • Rectangle
  • Text
  • Text Pointer

Ease of Use and Control

The simplicity of using LEADTOOLS annotations is extended to both the developer and the end-user. With very little code, the developer can create a fully automated, dynamic, and feature-packed annotation application which is also easy to operate by the end-user. Automation features include mouse event handling, cursors, toolbars, right-click context menus, and instant text editing.

With the LEADTOOLS Image Annotation Customizable Features, developers can create new annotation types, change the context menus and toolbars, and localize the dialog strings. End-users can rotate, calibrate, and change virtually any visual setting of the annotations on the screen.

Confidence and Security

Enhanced redaction objects hide and encrypt confidential parts of images even in non-LEADTOOLS viewers. When combined with annotation security, these redact objects provide a means of granting user-level access to view redacted areas of an image.

Technology Related to Annotation for Medical Images and DICOM

Download the Full Evaluation

The Full Evaluation Download includes all LEADTOOLS Document, Medical, Imaging, and Vector technologies for all development and target platforms.

Documentation Links for Annotation for Medical Images and DICOM

Demo Applications that Include Annotation for Medical Images and DICOM

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.

WinForms Medical Viewer

Demonstrates the LEADTOOLS Medical Viewer Control in a WinForms application. The Medical Viewer Control is a high-level component that enables you to build several types of medical display applications including DICOM viewers, view stations, teleradiology solutions, and high-end diagnostic workstations found in radiology and other medical specialty departments.

Screenshots of Annotation for Medical Images and DICOM

Medical Annotations

Medical Annotations

LEADTOOLS SDK Products that Include Annotation for Medical Images and DICOM

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.