Alpha 2.0
Login Register
» Authors » Zonghan Lyu

Zonghan Lyu

Explore the profile of Zonghan Lyu including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 13
Citations 39
Followers 0
Related Specialties
Biology
General Medicine
Cardiology & Vascular Diseases
Top 10 Co-Authors
Jingfeng Jiang
Mostafa Rezaeitaleshmahalleh
Nan Mu
Xiaoming Zhang
Todd E Rasmussen
Robert McBane
Robert D McBane 2nd
Min Wang
Kristin King
Weihua Zhou
Published In
J Cardiovasc Transl Res
Comput Biol Med
Sci Rep
Med Image Anal
J Mech Med Biol
Affiliations
Soon will be listed here.
Recent Articles
1.
Developing a nearly automated open-source pipeline for conducting computational fluid dynamics simulations in anterior brain vasculature: a feasibility study
Rezaeitaleshmahalleh M, Mu N, Lyu Z, Gemmete J, Pandey A, Jiang J
Sci Rep . 2024 Dec; 14(1):30181. PMID: 39632927
Intracranial aneurysms (IA) pose significant health risks and are often challenging to manage. Computational fluid dynamics (CFD) simulation has emerged as a powerful tool for understanding lesion-specific hemodynamics in and...
2.
Induction of Controllable Vortical Flow in a Dual-Stenosis Aorta Model: A Replication of Disordered Eddies Flow in Aneurysms
Wang Z, Lyu Z, Jiang J
J Cardiovasc Transl Res . 2024 Oct; 18(1):91-93. PMID: 39375271
This paper presents a two-stenosis aorta model mimicking vortical flow in vascular aneurysms. More specifically, we propose to virtually induce two adjacent stenoses in the abdominal aorta to develop various...
3.
Automatic segmentation of intraluminal thrombosis of abdominal aortic aneurysms from CT angiography using a mixed-scale-driven multiview perception network (MNet) model
Lyu Z, Mu N, Rezaeitaleshmahalleh M, Zhang X, McBane R, Jiang J
Comput Biol Med . 2024 Jul; 179:108838. PMID: 39033681
Intraluminal thrombosis (ILT) plays a critical role in the progression of abdominal aortic aneurysms (AAA). Understanding the role of ILT can improve the evaluation and management of AAAs. However, compared...
4.
Computational Hemodynamics-Based Growth Prediction for Small Abdominal Aortic Aneurysms: Laminar Simulations Versus Large Eddy Simulations
Rezaeitaleshmahalleh M, Lyu Z, Mu N, Wang M, Zhang X, Rasmussen T, et al.
Ann Biomed Eng . 2024 Jul; 52(11):3078-3097. PMID: 39020077
Prior studies have shown that computational fluid dynamics (CFD) simulations help assess patient-specific hemodynamics in abdominal aortic aneurysms (AAAs); patient-specific hemodynamic stressors are frequently used to predict an AAA's growth....
5.
USING CONVOLUTIONAL NEURAL NETWORK-BASED SEGMENTATION FOR IMAGE-BASED COMPUTATIONAL FLUID DYNAMICS SIMULATIONS OF BRAIN ANEURYSMS: INITIAL EXPERIENCE IN AUTOMATED MODEL CREATION
Rezaeitaleshmahalleh M, Lyu Z, Mu N, Jiang J
J Mech Med Biol . 2024 Mar; 23(4). PMID: 38523806
"Image-based" computational fluid dynamics (CFD) simulations provide insights into each patient's hemodynamic environment. However, current standard procedures for creating CFD models start with manual segmentation and are time-consuming, hindering the...
6.
S-Net: a multiple cross aggregation convolutional architecture for automatic segmentation of small/thin structures for cardiovascular applications
Mu N, Lyu Z, Rezaeitaleshmahalleh M, Bonifas C, Gosnell J, Haw M, et al.
Front Physiol . 2023 Nov; 14:1209659. PMID: 38028762
With the success of U-Net or its variants in automatic medical image segmentation, building a fully convolutional network (FCN) based on an encoder-decoder structure has become an effective end-to-end learning...
7.
Exploring a frequency-domain attention-guided cascade U-Net: Towards spatially tunable segmentation of vasculature
Mu N, Lyu Z, Zhang X, McBane R, Pandey A, Jiang J
Comput Biol Med . 2023 Nov; 167:107648. PMID: 37931523
Developing fully automatic and highly accurate medical image segmentation methods is critically important for vascular disease diagnosis and treatment planning. Although advances in convolutional neural networks (CNNs) have spawned an...
8.
Deep-learning-based image segmentation for image-based computational hemodynamic analysis of abdominal aortic aneurysms: a comparison study
Lyu Z, King K, Rezaeitaleshmahalleh M, Pienta D, Mu N, Zhao C, et al.
Biomed Phys Eng Express . 2023 Aug; 9(6). PMID: 37625388
Computational hemodynamics is increasingly being used to quantify hemodynamic characteristics in and around abdominal aortic aneurysms (AAA) in a patient-specific fashion. However, the time-consuming manual annotation hinders the clinical translation...
9.
Characterization of small abdominal aortic aneurysms' growth status using spatial pattern analysis of aneurismal hemodynamics
Rezaeitaleshmahalleh M, Lyu Z, Mu N, Zhang X, Rasmussen T, McBane 2nd R, et al.
Sci Rep . 2023 Aug; 13(1):13832. PMID: 37620387
Aneurysm hemodynamics is known for its crucial role in the natural history of abdominal aortic aneurysms (AAA). However, there is a lack of well-developed quantitative assessments for disturbed aneurysmal flow....
10.
Radiomic-based Textural Analysis of Intraluminal Thrombus in Aortic Abdominal Aneurysms: A Demonstration of Automated Workflow
Rezaeitaleshmahalleh M, Mu N, Lyu Z, Zhou W, Zhang X, Rasmussen T, et al.
J Cardiovasc Transl Res . 2023 Jul; 16(5):1123-1134. PMID: 37407866
Our main objective is to investigate how the structural information of intraluminal thrombus (ILT) can be used to predict abdominal aortic aneurysms (AAA) growth status through an automated workflow. Fifty-four...