Literature DB >> 21084417

Validation of computational fluid dynamics in CT-based airway models with SPECT/CT.

Jan W De Backer1, Wim G Vos, Samir C Vinchurkar, Rita Claes, Anton Drollmann, Denis Wulfrank, Paul M Parizel, Paul Germonpré, Wilfried De Backer.   

Abstract

PURPOSE: To compare the results obtained by using numerical flow simulations with the results of combined single photon emission computed tomography (SPECT) and computed tomography (CT) and to demonstrate the importance of correct boundary conditions for the numerical methods to account for the large amount of interpatient variability in airway geometry.
MATERIALS AND METHODS: This study was approved by all relevant institutional review boards. All patients gave their signed informed consent. In this study, six patients with mild asthma (three men; three women; overall mean age, 46 years ± 17 [standard deviation]) underwent CT at functional residual capacity and total lung capacity, as well as SPECT/CT. CT data were used for segmentation and computational fluid dynamics (CFD) simulations. A comparison was made between airflow distribution, as derived with (a) SPECT/CT through tracer concentration analysis, (b) CT through lobar expansion measurement, and (c) CFD through flow computer simulation. Also, the heterogeneity of the ventilation was examined.
RESULTS: Good agreement was found between SPECT/CT, CT, and CFD in terms of airflow distribution and hot spot detection. The average difference for the internal airflow distribution was less than 3% for CFD and CT versus SPECT/CT. Heterogeneity in ventilation patterns could be detected with SPECT/CT and CFD.
CONCLUSION: This results of this study show that patient-specific computer simulations with appropriate boundary conditions yield information that is similar to that obtained with functional imaging tools, such as SPECT/CT. SUPPLEMENTAL MATERIAL: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.10100322/-/DC1. © RSNA, 2010

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Year:  2010        PMID: 21084417     DOI: 10.1148/radiol.10100322

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  62 in total

1.  Observation of cardiogenic flow oscillations in healthy subjects with hyperpolarized 3He MRI.

Authors:  Guilhem J Collier; Helen Marshall; Madhwesha Rao; Neil J Stewart; David Capener; Jim M Wild
Journal:  J Appl Physiol (1985)       Date:  2015-09-03

2.  What Causes Uneven Aerosol Deposition in the Bronchoconstricted Lung? A Quantitative Imaging Study.

Authors:  Elliot Eliyahu Greenblatt; Tilo Winkler; Robert Scott Harris; Vanessa Jane Kelly; Mamary Kone; Ira Katz; Andrew R Martin; George Caillibotte; Jose Venegas
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2015-05-15       Impact factor: 2.849

Review 3.  In Vitro Testing for Orally Inhaled Products: Developments in Science-Based Regulatory Approaches.

Authors:  Ben Forbes; Per Bäckman; David Christopher; Myrna Dolovich; Bing V Li; Beth Morgan
Journal:  AAPS J       Date:  2015-05-05       Impact factor: 4.009

4.  Differences in Particle Deposition Between Members of Imaging-Based Asthma Clusters.

Authors:  Jiwoong Choi; Lawrence J LeBlanc; Sanghun Choi; Babak Haghighi; Eric A Hoffman; Patrick O'Shaughnessy; Sally E Wenzel; Mario Castro; Sean Fain; Nizar Jarjour; Mark L Schiebler; Loren Denlinger; Renishkumar Delvadia; Ross Walenga; Andrew Babiskin; Ching-Long Lin
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2019-03-19       Impact factor: 2.849

Review 5.  Inhaled Antibiotics for Gram-Negative Respiratory Infections.

Authors:  Eric Wenzler; Dustin R Fraidenburg; Tonya Scardina; Larry H Danziger
Journal:  Clin Microbiol Rev       Date:  2016-07       Impact factor: 26.132

6.  Effect of static vs. dynamic imaging on particle transport in CT-based numerical models of human central airways.

Authors:  Shinjiro Miyawaki; Eric A Hoffman; Ching-Long Lin
Journal:  J Aerosol Sci       Date:  2016-07-16       Impact factor: 3.433

7.  Image-based simulation and modeling: unlocking small airway function tests?

Authors:  Alex Bell; Salman Siddiqui
Journal:  J Appl Physiol (1985)       Date:  2020-07-23

8.  Airflow in Tracheobronchial Tree of Subjects with Tracheal Bronchus Simulated Using CT Image Based Models and CFD Method.

Authors:  Shouliang Qi; Baihua Zhang; Yong Yue; Jing Shen; Yueyang Teng; Wei Qian; Jianlin Wu
Journal:  J Med Syst       Date:  2018-03-01       Impact factor: 4.460

Review 9.  Use of computational fluid dynamics deposition modeling in respiratory drug delivery.

Authors:  P Worth Longest; Karl Bass; Rabijit Dutta; Vijaya Rani; Morgan L Thomas; Ahmad El-Achwah; Michael Hindle
Journal:  Expert Opin Drug Deliv       Date:  2018-12-10       Impact factor: 6.648

10.  A multiscale MDCT image-based breathing lung model with time-varying regional ventilation.

Authors:  Youbing Yin; Jiwoong Choi; Eric A Hoffman; Merryn H Tawhai; Ching-Long Lin
Journal:  J Comput Phys       Date:  2013-07-01       Impact factor: 3.553

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