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,
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
- Cross Product
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
- 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
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Supported Development Platforms for Annotation for Medical Images and DICOM
- C Windows API - C/C++, Java
- Web Services - JSON, WebAPI, SOAP, RESTful
- iOS -
Objective-C, Swift, Xamarin, Java
- Linux - Java, C/C++, .NET Core
- Android -
Documentation Links for Annotation for Medical Images and DICOM
Demo Applications that Include Annotation for Medical Images and DICOM
A zero-footprint Medical viewer with light and dark themes to display DICOM images (pixel data) with window level, density removal, offset, scale, zoom, stack, annotation/markup, and multi-touch support for phone, tablet, and desktop.
It demonstrates zero-footprint 3D volume rendering of multiple volume types including VRT, MIP, MPR, and SSD in the Medical Web Viewer. The viewer does not require browser plugins, desktop utilities, or remote desktop clients and features low resolution and caching options for faster rendering and loading.
Note: If you have your own test images that you would like to upload into the application, contact firstname.lastname@example.org to have a private user profile created.
Screenshots of Annotation for Medical Images and DICOM
LEADTOOLS SDK Products that Include Annotation for Medical Images and DICOM
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.
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.
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.