Scientific Visualization

DATA PIPELINE

Bridging clinical MRI datasets to research-ready 3D digital assets through precise volumetric segmentation and advanced scalar rendering.

Technical Director at work
01

Volumetric Segmentation

Tool: 3D Slicer

Processing raw DICOM MRI data to isolate intracranial pathology. By utilizing thresholding and manual tracing, I define the volume of the tumor (ICD-10: C71.9) for precise 3D reconstruction.

DICOM Processing Label Mapping
02

Scalar Visualization

Tool: ParaView

Segmented data is imported for high-performance rendering. I apply scalar opacity mapping and custom transfer functions to visualize tissue density variations within the pathology.

Volume Rendering Mesh Optimization
03

Technical Synthesis

Tool: Audacity | 4K Render

Final integration of 4K cinematic rotational renders with clinical technical narration. This workflow ensures alignment with diagnostic informatics and AI training data standards.

Audio Integration AI Readiness