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What is Miele-LXIV?

Miele-LXIV is a sophisticated 64-bit DICOM viewer and workstation developed by Alex Bettarini. The version designed for macOS is created using Objective-C and compiled with Xcode, and it is available for free download. On the other hand, the Windows and Linux editions have been completely re-engineered in C++ with the help of CMake and wxWidgets, currently featuring about 25% of the capabilities found in the macOS version. For users interested in the Windows version, it requires OpenGL (Core profile), and they can obtain a free evaluation version by contacting the developer directly. The Linux version, which is built with gcc, also necessitates OpenGL drivers (Core profile) and has been tested successfully on Ubuntu 24.04 and Linux Mint 22.1. Beyond serving as a DICOM workstation and viewer, Miele-LXIV also offers a range of additional functionalities. This initiative began in November 2014 as an offshoot of the popular open-source 32-bit project OsiriX, and it has since undergone extensive adaptations to become a fully functional 64-bit application, addressing many limitations of its predecessor. As Miele-LXIV evolves, the goal remains to enhance both user experience and operational capabilities even further, ensuring it meets the demands of its users.

What is Mach7?

Mach7 provides an enterprise imaging platform that is vendor-agnostic, unifying imaging from various departments into a single archive that integrates seamlessly with the existing systems used by clinicians. The platform supports DICOM and HL7-compliant systems, including current PACS, which allows organizations to improve their imaging capabilities without needing a complete system replacement. Mach7 is made up of three distinct components that can be utilized either separately or in tandem: eUnity, a zero-footprint browser-based viewer that consolidates all studies without the requirement for installations or local storage; VNA, a vendor-neutral archive that harmonizes both DICOM and non-DICOM imaging into a standardized, open storage solution; and Flamingo, which streamlines the routing of studies across various sites while correcting any mismatched DICOM tags to ensure compatibility with subsequent systems. By storing imaging data in a standards-compliant and easily transferable format, organizations can manage their migration, integration, or transition processes more effectively, ultimately boosting operational efficiency. This adaptability promotes a more efficient imaging management system, ensuring that clinicians have prompt access to vital information that aids in patient care and decision-making. Consequently, Mach7's solutions empower healthcare providers to optimize their imaging workflows and improve patient outcomes.

Media

Media

Integrations Supported

C++
Objective-C
OpenGL
Visual Studio
Xcode

Integrations Supported

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

DICOM Software

Company Location

United States

Company Website

dicom.3utilities.com/viewer.php

Company Facts

Organization Name

Mach7

Date Founded

2007

Company Location

United States

Company Website

www.mach7t.com

Categories and Features

DICOM Viewers

Not specified

Categories and Features

DICOM Viewers

Not specified

Medical Imaging

Not specified

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