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ELECTRODE SELECTION & PLANNING

CI Planner.

Explore the slices.
Isolate the structure.

At a glance

What this work solves.

Medical visualization, scientific software, volumetric data, and high-trust specialist interfaces.

Problem
Help specialists inspect medical image volumes and turn selected anatomy into useful 3D planning information.
My contribution
Work on CI Planner as a Software Engineer in MED-EL R&D, using C++, VTK, ITK, and Qt.
Result
The portfolio demo explains a synthetic volume-to-surface workflow through slices, segmentation, editing, and reconstruction.

This independent browser demonstration uses synthetic data and does not reproduce proprietary algorithms or patient workflows.

Try the interactive demo

Load a synthetic volume, grow a region, crop, brush-edit and rebuild a 3D mask.

Preparing study…SYNTHETIC DEMO
2D / MPR
AXIAL—W 2400
L 600

Preparing the DICOM demo…

049/ 112
Click to move the crosshair. Scroll to move through slices.
SEGMENTED SURFACE
From slices to a surface.

Segment the inner ear to reveal its shape here.

DICOM · SYNTHETIC PHANTOMLoading…
WORKSPACEPreparing the synthetic DICOM study…

This is an independent portfolio demo with a synthetic temporal-bone-inspired volume. Its seeded region growing and brush tools illustrate segmentation; they do not reproduce CI Planner’s algorithms. Not for clinical decisions.

About local DICOM support

Files are processed in your browser, without uploading them. Open one uncompressed, monochrome, single-frame axial series with standard patient orientation: 8- or 16-bit Explicit or Implicit VR Little Endian. Image positions and pixel spacing are required. Compressed images, oblique series, uneven spacing, multi-frame images and lookup-table transformations are outside this demo. Up to 512 files, 128 MB and 40 million source voxels; large volumes are downsampled for viewing. Patient names and identifiers are not displayed.

THE PROJECT

Electrode selection.
Planning for malformation cases.

CI Planner supports electrode selection and planning for malformation cases, with cropping, classification, segmentation, capture, and electrode simulations. Built using C++, VTK, ITK, and Qt.

01

Cropping

Focus the imaging data on a region of interest.

EXPLORED IN THIS DEMO
02

Classification

Classify inner-ear malformations as part of the planning workflow.

CI PLANNER FEATURE
03

Segmentation

Isolate structures in the imaging data.

EXPLORED IN THIS DEMO
04

Capture

Capture views from the planning workflow.

CI PLANNER FEATURE
05

Electrode simulations

Simulate electrodes as part of planning.

CI PLANNER FEATURE

Have a similarly specialized problem?

Let’s make the difficult part visible and usable.

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