UM  > Faculty of Science and Technology
Residential Collegefalse
Status已發表Published
Towards a Non-invasive Diagnosis of Portal Hypertension Based on an Eulerian CFD Model with Diffuse Boundary Conditions
Ren, Lixin1,3; Wan, Shang2; Wei, Yi2; He, Xiaowei1,3; Song, Bin2; Wu, Enhua1,3,4
2021
Conference Name24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12905 LNCS
Pages107-116
Conference DateSEP 27-OCT 01, 2021
Conference PlaceVirtual, Online
Author of Sourcede Bruijne M., Cattin P.C., Cotin S., Padoy N., Speidel S., Zheng Y., Essert C.
Publication PlaceBERLIN, GERMANY
PublisherSpringer Science and Business Media Deutschland GmbH
Abstract

Portal hypertension is one of the major complications in patients with chronic liver diseases (CLD) which induces the increase in portal vein gradient pressure. At advanced stage, it can cause the esophageal varices and variceal hemorrhage. Therefore, portal hypertension has been the leading cause of mortality in CLD patients. To diagnose portal hypertension, the invasive hepatic venous pressure gradient (HVPG) measurement is still the only validated technique to accurately evaluate changes in portal pressure and regarded as the standard reference. However, it entails the limitation of invasive procedure and have the risk of further bleeding and inflammation. In this paper we propose an Eulerian computational fluid dynamics (CFD) model to facilitate hemodynamics analysis. To enable consistent simulation results with different boundary conditions, a diffuse boundary handling technique was proposed to impose smooth boundary conditions for both the pressure and velocity fields. We also propose a computational workflow for quantifying patient-specific hemodynamics in portal vein systems non-invasively. The simulation is performed on patient-specific PV models reconstructed from CT angiographic images. Experiments show that pressure changes in the PV of patients with portal hypertension due to blockage of the RPV are significantly lower than that of normal subjects.

KeywordDiffuse Boundary Conditions Pressure Change Non-invasive Diagnosis Portal Hypertension Cfd
DOI10.1007/978-3-030-87240-3_11
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science ; Engineering ; Medical Informatics ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Engineering, Biomedical ; Medical Informatics ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000712025900011
Scopus ID2-s2.0-85116448616
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionFaculty of Science and Technology
Corresponding AuthorHe, Xiaowei; Song, Bin
Affiliation1.SKLCS, Institute of Software, Chinese Academy of Sciences, Beijing, China
2.Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
3.University of Chinese Academy of Sciences, Beijing, China
4.Faculty of Science and Technology, University of Macau, Macao, Macao
Recommended Citation
GB/T 7714
Ren, Lixin,Wan, Shang,Wei, Yi,et al. Towards a Non-invasive Diagnosis of Portal Hypertension Based on an Eulerian CFD Model with Diffuse Boundary Conditions[C]. de Bruijne M., Cattin P.C., Cotin S., Padoy N., Speidel S., Zheng Y., Essert C., BERLIN, GERMANY:Springer Science and Business Media Deutschland GmbH, 2021, 107-116.
APA Ren, Lixin., Wan, Shang., Wei, Yi., He, Xiaowei., Song, Bin., & Wu, Enhua (2021). Towards a Non-invasive Diagnosis of Portal Hypertension Based on an Eulerian CFD Model with Diffuse Boundary Conditions. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12905 LNCS, 107-116.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Ren, Lixin]'s Articles
[Wan, Shang]'s Articles
[Wei, Yi]'s Articles
Baidu academic
Similar articles in Baidu academic
[Ren, Lixin]'s Articles
[Wan, Shang]'s Articles
[Wei, Yi]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Ren, Lixin]'s Articles
[Wan, Shang]'s Articles
[Wei, Yi]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.