Mixture of Inverse Gaussians for Hemodynamic Transport (MIGHT) in Vascular Networks

Jakumeit T, Heinlein B, Richter L, Lotter S, Schober R, Schäfer M (2026)

Publication Type: Conference contribution

Publication year: 2026

Journal

Publisher: Institute of Electrical and Electronics Engineers Inc.

Conference Proceedings Title: IEEE International Conference on Communications

Event location: Glasgow

ISBN: 9798319542090

DOI: 10.1109/ICC59461.2026.11588264

Abstract

Synthetic molecular communication (MC) in the cardiovascular system (CVS) is a key enabler for many envisioned medical applications in the human body, such as targeted drug delivery, early cancer detection, and continuous health monitoring. The design of MC systems for such applications requires suitable models for the signaling molecule propagation through complex vessel networks (VNs). Existing theoretical models offer limited analytical tractability and lack closed-form solutions, making the analysis of large-scale VNs either infeasible or not insightful. To overcome these limitations, in this paper, we propose a novel closed-form physical model, termed MIGHT, for advection-diffusion-driven transport of signaling molecules through complex VNs. The model represents the received molecule flux as a weighted sum of inverse Gaussian (IG) distributions, parameterized by physical properties of the network. The proposed model is validated by comparison with an existing convolution-based model and finite-element simulations. Further, we show that the model can be applied for the reduction of large VNs to simplified representations preserving the essential transport dynamics and for estimating representative VNs based on received signals from unknown VNs.

Authors with CRIS profile

How to cite

APA:

Jakumeit, T., Heinlein, B., Richter, L., Lotter, S., Schober, R., & Schäfer, M. (2026). Mixture of Inverse Gaussians for Hemodynamic Transport (MIGHT) in Vascular Networks. In IEEE International Conference on Communications. Glasgow, GB: Institute of Electrical and Electronics Engineers Inc..

MLA:

Jakumeit, Timo, et al. "Mixture of Inverse Gaussians for Hemodynamic Transport (MIGHT) in Vascular Networks." Proceedings of the 2026 IEEE International Conference on Communications, ICC 2026, Glasgow Institute of Electrical and Electronics Engineers Inc., 2026.

BibTeX: Download