mlsanityData to 14 Oct 2026

A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-skeletal Control

arXiv 2407.15631 ↗First posted 22 Jul 2024eess.IV cs.CVcited by 2

On the map: Diffusion models → Medical imaging and segmentation

Abstract (arXiv)

Virtual interventions enable the physics-based simulation of device deployment within coronary arteries. This framework allows for counterfactual reasoning by deploying the same device in different arterial anatomies. However, current methods to create such counterfactual arteries face a trade-off between controllability and realism. In this study, we investigate how Latent Diffusion Models (LDMs) can custom synthesize coronary anatomy for virtual intervention studies based on mid-level anatomic constraints such as topological validity, local morphological shape, and global skeletal structure. We also extend diffusion model guidance strategies to the context of morpho-skeletal conditioning and propose a novel guidance method for continuous attributes that adaptively updates the negative guiding condition throughout sampling. Our framework enables the generation and editing of coronary anatomy in a controllable manner, allowing device designers to derive mechanistic insights regarding anatomic variation and simulated device deployment.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Placed in Medical imaging and segmentation, one of 14 directions in Diffusion models. Builds on 20 of its 44 references that are in the map. First posted on arXiv 22 Jul 2024.

Builds on

20 of 44 references.

Closest ancestors · 1

Same direction, newest first

  1. 2023Probing the Limits and Capabilities of Diffusion Models for the Anatomic Editing of Digital Twins30 Dec

Other references · 19

  1. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,255
  2. 2022Classifier-Free Diffusion Guidancecited by 5,847
  3. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,614
  4. 2022Elucidating the Design Space of Diffusion-Based Generative Modelscited by 3,045
  5. 2022Diffusion Posterior Sampling for General Noisy Inverse Problemscited by 1,416
  6. 2023Erasing Concepts from Diffusion Modelscited by 539
  7. 20183D MRI brain tumor segmentation using autoencoder regularizationcited by 328
  8. 2020clDice -- A Novel Topology-Preserving Loss Function for Tubular Structure Segmentationcited by 294
  9. 2023Manifold Preserving Guided Diffusioncited by 157
  10. 2019A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homologycited by 134
  11. 2022Semantic Image Synthesis via Diffusion Modelscited by 132
  12. 2022Learning Topological Interactions for Multi-Class Medical Image Segmentationcited by 28
7 more
  1. 2021A persistent homology-based topological loss for CNN-based multi-class segmentation of CMRcited by 21
  2. 2023CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomycited by 13
  3. 2023Shape of my heart: Cardiac models through learned signed distance functionscited by 10
  4. 2022svMorph: Interactive geometry-editing tools for virtual patient-specific vascular anatomiescited by 4
  5. 2023Generative modeling of living cells with SO(3)-equivariant implicit neural representationscited by 4
  6. 2022Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Datacited by 2
  7. 2024Fully automated construction of three-dimensional finite element simulations from Optical Coherence Tomographycited by 2

Built on by

Cited by year

Citing papers per year: 2025: 2.

2 papers.

  1. 2025CardioComposer: Leveraging Differentiable Geometry for Compositional Control of Anatomical Diffusion Modelscited by 1
  2. 2025Anatomica: Localized Control over Geometric and Topological Properties for Anatomical Diffusion Modelscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 20253D Cardiac Anatomy Generation Using Mesh Latent Diffusion Models
  2. 2026Conditional Latent Diffusion Model with Fourier-based Motion Modelling for Virtual Population Synthesis
  3. 2025HUG-VAS: A Hierarchical NURBS-Based Generative Model for Aortic Geometry Synthesis and Controllable Editing
  4. 2026CardioDiT: Latent Diffusion Transformers for 4D Cardiac MRI Synthesis
  5. 2023Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature
  6. 2025Leveraging Diffusion Model and Image Foundation Model for Improved Correspondence Matching in Coronary Angiography
  7. 2025ProDM: Synthetic Reality-driven Property-aware Progressive Diffusion Model for Coronary Calcium Motion Correction in Non-gated Chest CT
  8. 2025VasTSD: Learning 3D Vascular Tree-state Space Diffusion Model for Angiography Synthesis