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DCEMapper is an open-source desktop application built for researchers and clinicians working with Dynamic Contrast Enhancement (DCE) MRI data. It covers the full analysis pipeline — loading raw or BIDS-structured NIfTI files, applying preprocessing filters, drawing ROIs, and generating semi-quantitative parametric maps — all within a single PyQt6-based graphical interface.

Introduction

Learn what DCEMapper is, who it’s for, and how it fits into a DCE-MRI workflow.

Installation

Install DCEMapper on Windows via the pre-built executable or set up from source with Conda.

Quickstart

Open your first NIfTI file, explore slices, and generate your first parametric map in minutes.

User Guide

Step-by-step walkthroughs for every feature: data loading, preprocessing, ROI tools, and more.

What DCEMapper Does

DCEMapper provides an end-to-end workflow for DCE-MRI analysis:
1

Load your data

Open NIfTI files directly, load a full BIDS dataset, convert raw Bruker data, or reload previously processed outputs.
2

Preprocess

Apply denoising filters (ASCM, Non-Local Means, MP-PCA, Local PCA) and Gibbs artifact suppression to clean your images before analysis.
3

Define your ROI

Draw rectangular, elliptical, or polygonal regions of interest on individual slices. Save and reload masks for reproducible analysis sessions.
4

Generate parametric maps

Run semi-quantitative processing to produce three NIfTI output maps: RCE (Relative Contrast Enhancement), RCEmax, and Time-to-RCEmax.

Key Features

Multi-format Data Loading

BIDS datasets, single NIfTI files, processed outputs, and Bruker raw data conversion — all from the File menu.

Denoising & Artifact Removal

Five denoising algorithms plus Gibbs suppression, each with configurable parameters and interactive before/after preview.

Interactive ROI Tools

Rectangle, ellipse, and polygon selectors with smooth Gaussian edges. Save masks as NIfTI files and reload them later.

Semi-Quantitative Mapping

Compute RCE, RCEmax, and Time-to-Peak maps and export them as standard NIfTI files ready for downstream analysis.

Voxel Intensity Curves

Click any voxel in the main canvas to plot its signal intensity time-series and log coordinates with intensity increase.

Keyboard Shortcuts

Full shortcut coverage for navigation, ROI tools, zoom, pan, playback, and fullscreen.

Explore the Reference

I/O API

Functions for loading NIfTI files and extracting slice arrays.

Preprocessing API

Denoising and Gibbs removal function signatures and parameters.

Processing API

Semi-quantitative mapping functions: RCE, RCEmax, TTP calculations.

ROI API

Mask update functions for rectangular, elliptical, and polygonal ROIs.

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