From raw MRI scan to structured brain report
MTechLab combines DICOM handling, NIfTI preparation, AI brain analysis, quality-control outputs, and structured export in one local workstation workflow. It helps clinical and research teams move from scanner data to reviewable quantitative results without sending patient data outside the institution.
DICOM-aware intake
The workflow starts with the format hospitals already use. DICOM metadata helps identify patient, study, series, scanner, sequence, and acquisition parameters before analysis begins.
NIfTI-ready processing
Research-standard NIfTI volumes are accepted directly, and DICOM series can be prepared for NIfTI-based analysis pipelines when needed.
Multiple MRI scan types
The tutorial resources cover T1-weighted, T2-weighted, FLAIR, diffusion/DWI, fMRI BOLD, and PET/FDG examples, giving users a clearer view of what each data type contributes.
Not just a viewer. A processing workflow.
The software should be understood as a pipeline: it receives MRI data, prepares it, runs AI analysis, and leaves behind traceable outputs that can be reviewed by clinicians, researchers, and engineers.
Segmentation masks and overlays
AI brain segmentation creates labeled anatomical regions and visual overlays so users can inspect what the model identified.
Quantitative reports
Region-level measurements, summary tables, and report-ready results make the output understandable beyond the image itself.
Structured export
NIfTI, JSON, CSV-style tables, and PDF report concepts support both clinical review and downstream research workflows.
Traceable processing
Logs, intermediate files, labels, and statistics make the analysis easier to verify, reproduce, and integrate into a controlled workflow.
Five modules in one explainable system
Each module solves a different neuroimaging task, but the product should be presented as one coherent workflow rather than disconnected tools.
Built around real hospital imaging workflows
The tutorial resources show DICOM hierarchy, DICOM-to-NIfTI conversion, Orthanc-style archive access, and BRAiDS pipeline organization. For users, this means the software can be explained as a practical system that works with existing imaging data and produces reviewable outputs.
Windows workstation
Designed for local use by clinical and research teams rather than as a cloud-only web service.
On-premise processing
Analysis can run where the data already lives, reducing unnecessary transfer of sensitive imaging data.
Archive-ready concept
Orthanc and DICOMweb concepts support a path toward PACS-style study retrieval and imaging-server integration.
Data governance
Local execution, metadata handling, and traceable outputs support controlled institutional workflows.
Show users the complete MRI AI workflow, not only the module names.
The page now explains the product from input to output: DICOM/NIfTI import, metadata reading, conversion and preparation, AI analysis, visual review, quantitative results, and export.