Aspose.Medical for .NET

.NET API for processing DICOM medical files.

Published by Aspose
Distributed by ComponentSource since 2006

Prices from: $ 391.02 Version: 26.6 NEW Updated: Jun 18, 2026

Screenshot of Aspose.Medical for .NET

Aspose.Medical for .NET Releases

Released: Jun 18, 2026

Updates in V26.6

Features

  • Added JPEG XL (JXL) transfer syntax support: The library now supports JPEG XL transfer syntaxes defined in the DICOM standard: lossless (1.2.840.10008.1.2.4.110), JPEG recompression (1.2.840.10008.1.2.4.111), and lossy (1.2.840.10008.1.2.4.112). You can transcode DICOM files to and from JPEG XL, and the corresponding ISO_18181_1 lossy compression method identifier is available.
  • Migration to .NET 10: The library now targets .NET 10, taking advantage of the latest runtime performance...
Read more

Released: Mar 1, 2026

Updates in V26.3

Features

  • Pure C# HTJ2K Codec - The High-Throughput JPEG 2000 codec has been reimplemented entirely in managed C#. This change eliminates platform-specific native library requirements, improves portability across all .NET-supported platforms, and simplifies deployment.
  • API Cleanup - Removed leftover internal Aspose.Imaging namespace documentation entries from the public API surface, resulting in a cleaner and more accurate public API definition.

Released: Nov 12, 2025

Updates in V25.11

Features

  • Pipeline-Based I/O: The library now supports System.IO.Pipelines for both reading and writing DICOM files, enabling high-performance streaming scenarios with better memory efficiency and backpressure handling. This is especially useful for network operations and large file processing.
  • Enhanced Buffer Tuning: Fine-grained control over I/O buffer sizes and flush behavior now allows you to optimize performance for your specific use cases, whether you're processing small files or large...
Read more

Released: Jul 24, 2025

Updates in V25.7

Features

  • Added the ability to create and write DICOM text elements that contain multiple character sets. This is crucial for international medical imaging applications where patient information and other textual data may be recorded in different languages.