mdbrain

Step 1: Upload the patient's MRI scan to mdbrain.

Step 2: mdbrain automatically analyzes the scan and generates a report with volumetric measurements of key brain regions like the hippocampus.

Step 3: Compare the patient's measurements to normative data to identify atrophy indicative of dementia.

Step 4: Use the report to aid in differential diagnosis and treatment planning.

Step 1: Upload serial MRI scans from an MS patient to mdbrain.

Step 2: mdbrain automatically detects and quantifies new and enlarging lesions.

Step 3: The software generates a report showing changes in lesion volume and brain volume over time.

Step 4: Use the report to assess treatment effectiveness and adjust therapy as needed.

Step 1: Process a TOF-MRA scan through mdbrain.

Step 2: mdbrain automatically screens for saccular aneurysms larger than 5mm.

Step 3: If an aneurysm is detected, the software highlights its location and size.

Step 4: The radiologist reviews the findings and determines the appropriate course of action.

Step 1: Load the post-contrast MRI sequence into mdbrain.

Step 2: The AI algorithm segments the tumor core and peripheral edema.

Step 3: Generate a quantitative analysis of the tumor components.

Step 4: Assist the radiologist in determining the glioma grade based on the imaging characteristics.

Step 1: Upload a T1-weighted MRI scan to mdbrain.

Step 2: Analyze the brainstem and cerebellar structures.

Step 3: Compare region volumes to the reference population.

Step 4: Assess likelihood of MSA/CBD/PSP based on combined clinical and imaging findings.