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AbdomenGen

How can we vary organ size while keeping a generated abdomen anatomically coherent?

  • Generative modeling
  • Medical imaging
  • 3D anatomy
On this page
  1. The problem
  2. The computational idea
  3. Research context
  4. Evaluation and limitations
  5. Related materials

The problem

Virtual imaging studies need anatomical variation that can be controlled and interpreted. Changing an organ’s volume should not require giving up the spatial relationships that make an abdomen plausible.

The computational idea

AbdomenGen uses volume-conditioned diffusion to generate abdominal anatomy sequentially. Three-dimensional signed-distance fields represent organ shape; conditioning on the body and previously generated structures gives each step anatomical context.

The Volume Control Scalar separates organ size from body habitus, making the requested change easier to interpret than raw volume alone.

Research context

This is my first-author MICCAI 2026 work at Duke’s Center for Virtual Imaging Trials, with Lavsen Dahal, Paul Segars, and Joseph Y. Lo.

Evaluation and limitations

The paper evaluates anatomical fidelity, volume calibration, and multi-organ control. Controllable anatomy is useful for virtual imaging studies, but is not itself evidence of clinical validity. The full paper describes the evaluation conditions and limitations; this page does not substitute illustrative geometry for experiment figures.

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