Flow prediction in cerebral aneurysms based on geometry reconstruction from 3D rotational angiography

Mikhal, Julia; Kroon, Dirk-Jan; Slump, Cornelis H.; Geurts, Bernardus J.

doi:10.1002/cnm.2558

Cited by 10 publications

(12 citation statements)

References 47 publications

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“…21,22 Mathematically, these approaches make use of local geometric information, i.e., coordinates, distances, angles, surfaces [22][23][24] and sometimes curvatures [25][26][27] for the physical modeling of biomolecular systems. Indeed, the importance of geometric modeling for structural biology, 21 biophysics 28,29 and bioengineering [30][31][32][33][34][35][36] cannot be overemphasized. However, geometry based models are often inundated with too much structural detail and computationally extremely expensive.…”

Section: Introductionmentioning

confidence: 99%

Persistent homology analysis of protein structure, flexibility, and folding

Xia

Guo

2014

Numer Methods Biomed Eng

222

270

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Proteins are the most important biomolecules for living organisms. The understanding of protein structure, function, dynamics and transport is one of most challenging tasks in biological science. In the present work, persistent homology is, for the first time, introduced for extracting molecular topological fingerprints (MTFs) based on the persistence of molecular topological invariants. MTFs are utilized for protein characterization, identification and classification. The method of slicing is proposed to track the geometric origin of protein topological invariants. Both all-atom and coarse-grained representations of MTFs are constructed. A new cutoff-like filtration is proposed to shed light on the optimal cutoff distance in elastic network models. Based on the correlation between protein compactness, rigidity and connectivity, we propose an accumulated bar length generated from persistent topological invariants for the quantitative modeling of protein flexibility. To this end, a correlation matrix based filtration is developed. This approach gives rise to an accurate prediction of the optimal characteristic distance used in protein B-factor analysis. Finally, MTFs are employed to characterize protein topological evolution during protein folding and quantitatively predict the protein folding stability. An excellent consistence between our persistent homology prediction and molecular dynamics simulation is found. This work reveals the topology-function relationship of proteins.

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Section: Introductionmentioning

confidence: 99%

Persistent homology analysis of protein structure, flexibility, and folding

Xia

Guo

2014

Numer Methods Biomed Eng

222

270

View full text Add to dashboard Cite

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“…Another potential application of the presented model is surgical research. 3D radiological models were developed to simulate the intra-aneurismal hemodynamic, which is associated with aneurysmal growth and whose appropriate evaluation is critical for endovascular procedures [ 31 – 34 ]. However, when surgery is the selected treatment, it is common to confront cases where the surgical approach is controversial (e.g., basilar tip aneurysms) or is not as standardized as others.…”

Section: Discussionmentioning

confidence: 99%

Implantation of 3D-Printed Patient-Specific Aneurysm Models into Cadaveric Specimens: A New Training Paradigm to Allow for Improvements in Cerebrovascular Surgery and Research

Benet

Plata‐Bello

Abla

et al. 2015

BioMed Research International

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Aim. To evaluate the feasibility of implanting 3D-printed brain aneurysm model in human cadavers and to assess their utility in neurosurgical research, complex case management/planning, and operative training. Methods. Two 3D-printed aneurysm models, basilar apex and middle cerebral artery, were generated and implanted in four cadaveric specimens. The aneurysms were implanted at the same anatomical region as the modeled patient. Pterional and orbitozygomatic approaches were done on each specimen. The aneurysm implant, manipulation capabilities, and surgical clipping were evaluated. Results. The 3D aneurysm models were successfully implanted to the cadaveric specimens' arterial circulation in all cases. The features of the neck in terms of flexibility and its relationship with other arterial branches allowed for the practice of surgical maneuvering characteristic to aneurysm clipping. Furthermore, the relationship of the aneurysm dome with the surrounding structures allowed for better understanding of the aneurysmal local mass effect. Noticeably, all of these observations were done in a realistic environment provided by our customized embalming model for neurosurgical simulation. Conclusion. 3D aneurysms models implanted in cadaveric specimens may represent an untapped training method for replicating clip technique; for practicing certain approaches to aneurysms specific to a particular patient; and for improving neurosurgical research.

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“…Besides in vitro studies, computational hemodynamics modeling can also be helpful in predicting intervention outcome [13][14][15] . Numerical blood flow simulations are performed widely in all types of human arteries [16][17][18] . The precise geometry of the pathological vessel and the actual condition of the patient are required for fluid mechanical analysis.…”

Section: Introductionmentioning

confidence: 99%

Fully resolved simulation and ultrasound flow studies in stented carotid aneurysm model

Mikhal

Hoving

Ong

et al. 2019

Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling

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Introduction. Treatment choice for extracranial carotid artery widening, also called aneurysm, is difficult. Blood flow simulation and experimental visualization can be supportive in clinical decision making and patient-specific treatment prediction. This study aims to simulate and validate the effect of flow-diverting stent placement on blood flow characteristics using numerical and in vitro simulation techniques in simplified carotid artery and aneurysm models.Methods. We have developed a workflow from geometry design to flow simulations and in vitro measurements in a carotid aneurysm model. To show feasibility of the numerical simulation part of the workflow that uses an immersed boundary method, we study a model geometry of an extracranial carotid artery aneurysm and put a flow-diverting stent in the aneurysm. We use ultrasound particle image velocimetry (PIV) to visualize experimentally the flow inside the aneurysm model.Results. Feasibility of ultrasound visualization of the flow, virtual flow-diverting stent placement and numerical flow simulation are presented. Flow is resolved to scales much smaller than the cross section of individual wires of the flowdiverting stent. Numerical analysis in stented model introduced 25% reduction of the blood flow inside the aneurysm sac. Quantitative comparison of experimental and numerical results showed agreement in 1D velocity profiles.Discussion/conclusion. We find good numerical convergence of the simulations at appropriate spatial resolutions using the immersed boundary method. This allows us to quantify the changes in the flow in model geometries after deploying a flow-diverting stent. We visualized the physiological blood flow in a 1-to-1 aneurysm model, using PIV, showing a good correspondence to the numerical simulations. The novel workflow enables numerical as well as experimental flow simulations in patient-specific cases before and after flow-diverting stent placement. This may contribute to endovascular treatment prediction.

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Flow prediction in cerebral aneurysms based on geometry reconstruction from 3D rotational angiography

Cited by 10 publications

References 47 publications

Persistent homology analysis of protein structure, flexibility, and folding

Persistent homology analysis of protein structure, flexibility, and folding

Implantation of 3D-Printed Patient-Specific Aneurysm Models into Cadaveric Specimens: A New Training Paradigm to Allow for Improvements in Cerebrovascular Surgery and Research

Fully resolved simulation and ultrasound flow studies in stented carotid aneurysm model

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