Matrix-Based Simulation for Patient-Specific Human Respiratory Air-Particle Flow Analysis

Conventional approach of simulating patient specific human respiratory air-particle flow involves tedious steps that include solid-fluid grid generations, air-particle solutions and results visualizations. A novel approach of combining the efficient Immersed Boundary method and Finite Difference Spl...

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Published in:AIMS 2013 : proceedings : first International Conference on Artificial Intelligence, Modelling & Simulation : 3-5 December 2013, Kota Kinabalu, Sabah, Malaysia pp. 63 - 67
Main Authors: Ngali, Mohd Zamani, Manshoor, Bukhari, Khalid, Amir, Kahar, Osman, Azis, Mohd Hazmil Syahidy Abdol
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2013
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Abstract Conventional approach of simulating patient specific human respiratory air-particle flow involves tedious steps that include solid-fluid grid generations, air-particle solutions and results visualizations. A novel approach of combining the efficient Immersed Boundary method and Finite Difference Splitting solver within a matrix-based open source programming platform achieved in this work has radically simplified the procedure especially in the pre-processing stage. Air and particle interactions are based on Eulerian-Lagrangian technique while convergence error of less than 1 x 10-6 in all validations. Quantitative comparisons were made based on standard five percent difference. Air flow rate of 30 litre/minute was used throughout the analyses representing normal inhalation condition while a number of 10,000 and 5,000 micro particles were modeled for simplified and image based airways respectively. Three patient-specific air-particle flow analysis showed that 42.35% of particles inhaled by female subject managed to reach the end of trachea while male subject with epiglottis blockage recorded a very minimum of 0.43%. Oversized male subject recorded merely none of complete particle inhalation. Apart from the attainment of more practical matrix-based algorithm, this work also suggests that such possible pattern analyses are crucial to facilitate medical practitioners in their diagnosis and decision making process of airway flow related diseases.
AbstractList Conventional approach of simulating patient specific human respiratory air-particle flow involves tedious steps that include solid-fluid grid generations, air-particle solutions and results visualizations. A novel approach of combining the efficient Immersed Boundary method and Finite Difference Splitting solver within a matrix-based open source programming platform achieved in this work has radically simplified the procedure especially in the pre-processing stage. Air and particle interactions are based on Eulerian-Lagrangian technique while convergence error of less than 1 x 10-6 in all validations. Quantitative comparisons were made based on standard five percent difference. Air flow rate of 30 litre/minute was used throughout the analyses representing normal inhalation condition while a number of 10,000 and 5,000 micro particles were modeled for simplified and image based airways respectively. Three patient-specific air-particle flow analysis showed that 42.35% of particles inhaled by female subject managed to reach the end of trachea while male subject with epiglottis blockage recorded a very minimum of 0.43%. Oversized male subject recorded merely none of complete particle inhalation. Apart from the attainment of more practical matrix-based algorithm, this work also suggests that such possible pattern analyses are crucial to facilitate medical practitioners in their diagnosis and decision making process of airway flow related diseases.
Author Ngali, Mohd Zamani
Khalid, Amir
Azis, Mohd Hazmil Syahidy Abdol
Manshoor, Bukhari
Kahar, Osman
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  givenname: Mohd Hazmil Syahidy Abdol
  surname: Azis
  fullname: Azis, Mohd Hazmil Syahidy Abdol
  organization: Fac. of Mech. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
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PublicationTitle AIMS 2013 : proceedings : first International Conference on Artificial Intelligence, Modelling & Simulation : 3-5 December 2013, Kota Kinabalu, Sabah, Malaysia
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Snippet Conventional approach of simulating patient specific human respiratory air-particle flow involves tedious steps that include solid-fluid grid generations,...
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StartPage 63
SubjectTerms Air-Particle Flow
Atmospheric modeling
Computational modeling
Fluids
Human Respiratory
Medical diagnostic imaging
Simulation
Software
Software algorithms
Title Matrix-Based Simulation for Patient-Specific Human Respiratory Air-Particle Flow Analysis
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