populse_mia

MIA (Multiparametric Image Analysis) is a comprehensive image processing environment primarily designed for the analysis and visualization of large MRI datasets.

MRI data analysis often requires executing complex processing pipelines on datasets acquired during single or multiple MRI exams. In large-scale studies, where data processing must be repeated across numerous acquisition sessions, manually running processing modules or relying on simple ad-hoc scripts can become error-prone, cumbersome, and difficult to reproduce. Additionally, data processing pipelines are often distributed across various heterogeneous toolboxes, developed either in-house or by other researchers, further increasing the complexity of manually invoking these modules.

MIA (populse_mia) aims to simplify complex data processing by providing intuitive tools that define inputs and outputs at a conceptual level. It organizes data based on their roles in an analysis project, such as “scan type,” “subject,” or “subject group,” making it easier to structure and automate workflows.

Modules

populse_mia.cli_args	This module provides command-line argument parsing for the Mia application.
populse_mia.data_manager	Module to handle the projects and their database.
populse_mia.info	Define software version, description and requirements
populse_mia.main	The first module used at the mia runtime.
populse_mia.software_properties	Module that handle the configuration of the software
populse_mia.sources_images	Images Module.
populse_mia.tests	Module containing the unit tests carried out as part of continuous integration.
populse_mia.user_interface	User interface module, encompass the main window and its tabs definition, as well as pop ups.
populse_mia.utils	Utilities and tools used across Mia