Patient specific CFD models of nasal airflow: Overview of methods and challenges

Kim, Sung Kyun; Na, Yang; Kim, Jee-In; Chung, Seung‐Kyu

doi:10.1016/j.jbiomech.2012.11.022

Cited by 84 publications

(52 citation statements)

References 47 publications

(76 reference statements)

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“…Recently, due to the rapid growth in computer technology, researchers have been able to prepare accurate 3-D computational models from CT scan images. Moreover, these nasal models can be virtually modified to reflect the predicted results of the proposed surgical techniques [3]. In contrast to experimental approaches, Computational Fluid Dynamics (CFD) techniques provide a powerful research tool to investigate the airflow in the human nasal airway [4][5][6][7][8][9], as well as transport and deposition of aerosol particles [10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of airflow and micro-particle deposition in human nasal airway pre- and post-virtual sphenoidotomy surgery

Bahmanzadeh¹,

Abouali²,

Faramarzi³

et al. 2015

Computers in Biology and Medicine

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Section: Introductionmentioning

confidence: 99%

Numerical simulation of airflow and micro-particle deposition in human nasal airway pre- and post-virtual sphenoidotomy surgery

Bahmanzadeh¹,

Abouali²,

Faramarzi³

et al. 2015

Computers in Biology and Medicine

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“…В течение последних 5 лет трехмерное моделирование воздушных потоков в полости носа и околоносовых пазу-хах, а также динамическое изменение содержания оксида азота в околоносовых пазухах при выполнении хирурги-ческих вмешательств выполнялись с использованием раз-личных компьютерных программ: Mimics [34][35][36][37][38], vWorks [39,40], Amira [41]. Во всех приведенных исследованиях был получен примерно один результат -хирургическое расширение естественного соустья верхнечелюстной па-зухи ведет к улучшению ее вентиляции и, как результат, к снижению концентрации NO в пазухе.…”

Section: +unclassified

The paranasal sinuses as the nitric oxide depot

Красножен¹,

Щербаков²,

Garskova³

2015

Vestn. otorinolaringol.

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Приводятся современные данные о физиологии полости носа и околоносовых пазух. Представлены результаты отече-ственных и зарубежных исследований по компьютерному моделированию воздушных потоков в полости носа и около-носовых пазухах. Обсуждены вопросы газового состава в околоносовых пазухах и возможные факторы, определяющие изменение концентрации оксида азота с химической формулой NO в данных структурах. Ключевые слова: околоносовые пазухи, оксид азота, компьютерное моделирование.This paper was designed to report the currently available data on physiology of the nasal cavity and paranasal sinuses together with the results of national and international investigations on the computer modeling of the air flow in these structures. Also discussed are the gas composition in the paranasal sinuses and the potential factors responsible for the changes in the concentration of nitric oxide with the chemical formula of NO in the nasal cavity and paranasal sinuses.

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“…Such geometries often stem from Computer Aided Design (CAD) software [1,2,3], from Computer Tomography (CT) images [4,5,6], or from laser-scan reconstructions of real-world objects. The number of representing surface elements varies with the resolution of the geometrical model.…”

Section: Introductionmentioning

confidence: 99%

Efficient Parallel Geometry Distribution for the Simulation of Complex Flows

Lintermann¹

2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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Abstract. Highly resolved intrinsic geometrical shapes used in three-dimensional parallel simulations of fluid flows consume a large portion of the available memory when loaded serially on every process. This demands for a memory efficient implementation of a distributed geometry which is however a non-trivial task when complex spatial domain decomposition methods for the flow domain are involved. To overcome this problem, an algorithm to generate a parallel geometry during the mesh generation is proposed that enables a low-memory subdivision of the geometry based on the decomposition of the flow field. The applied meshing method generates computational grids that can be used for simulations on a quasi-arbitrary number of cores on which the geometry is distributed in an efficient preprocessing step. This allows reducing the number of instances of the geometry in the global memory of the simulation to about one. The algorithm is used to generate a parallel geometry for a large shape consisting of 7 · 10 6 triangles, i.e., for a geometry representing the whole respiratory tract down to the 12 th lung generation. For this case, performance and memory consumption measurements are given for simulations on 8,192 up to 131,072 cores and juxtaposed to results obtained from simulations using non-parallel geometries. The findings show that with the new method not only the memory usage could be reduced by the factors of 1,802 and 19,936 for core numbers of 8,192 and 131,072 but also a large speed-up factor of about 51 is obtained in the geometry I/O and preprocessing. Furthermore, the parallel geometry allows using the sweet spot with respect to a combination of distributed and shared memory parallelization leading to an increase of the computational speed of about 1.43.

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Patient specific CFD models of nasal airflow: Overview of methods and challenges

Cited by 84 publications

References 47 publications

Numerical simulation of airflow and micro-particle deposition in human nasal airway pre- and post-virtual sphenoidotomy surgery

Numerical simulation of airflow and micro-particle deposition in human nasal airway pre- and post-virtual sphenoidotomy surgery

The paranasal sinuses as the nitric oxide depot

Efficient Parallel Geometry Distribution for the Simulation of Complex Flows

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