A Subject-Specific Cerebrovascular CFD Modeling Approach Based on a Multimodal Data-Driven Boundary Calibration Framework: A Proof-of-Concept Study
Jun Hu, Hongye Li, Xuelian Shen, Yonghao Zhong, Hanxiong Zheng, Yiao Liu, Bin Luo, Jianhang Du · 2026
Read A Subject-Specific Cerebrovascular CFD Modeling Approach Based on a Multimodal Data-Driven Boundary Calibration Framework: A Proof-of-Concept Study by Jun Hu, Hongye Li, Xuelian Shen, Yonghao Zhong, Hanxiong Zheng, Yiao Liu, Bin Luo, Jianhang Du (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13509669.txt.
Description
Jun Hu and seven co-authors present a way to tune computer models of blood flow in the brain to a single person, in 2026 work. Standard models use generic settings for vessel outlets, which can miss how a real person's brain adjusts flow. The new method feeds in ultrasound readings of brain artery flow plus continuous blood pressure data to set outlet resistance for that person.
The team tested the approach in one healthy volunteer at rest and during a treatment that pulses pressure on the legs to push more blood upward. The tuned model matched measured flow waves far more closely than two standard setups, in both states. It also captured uneven flow between the two sides of the brain that generic settings hid. The authors present the result as proof of concept needing wider testing.
Catalog record
| CREATOR | Jun Hu, Hongye Li, Xuelian Shen, Yonghao Zhong, Hanxiong Zheng, Yiao Liu, Bin Luo, Jianhang Du |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 44737 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |