A quantitative analysis of biomechanical lung model consistency using 5DCT datasets
| Autor: | Dylan O'Connell, Daniel A. Low, Brad Stiehl, Percy Lee, Katelyn Hasse, Igor Barjaktarevic, Anand P. Santhanam, Michael Lauria |
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| Rok vydání: | 2019 |
| Předmět: |
Lung
business.industry Respiration Pattern recognition General Medicine computer.software_genre Finite element method Elasticity Displacement mapping Motion medicine.anatomical_structure Voxel Histogram Tissue elasticity medicine Humans Artificial intelligence Elasticity (economics) Lung tissue business computer Tomography Spiral Computed Mathematics |
| Zdroj: | Medical physicsREFERENCES. 47(11) |
| ISSN: | 2473-4209 |
| Popis: | PURPOSE Lung biomechanical models are important for understanding and characterizing lung anatomy and physiology. A key parameter of biomechanical modeling is the underlying tissue elasticity distribution. While human lung elasticity estimations do not have ground truths, model consistency checks can and should be employed to gauge the stability of the estimation techniques. This work proposes such a consistency check using a set of 10 subjects. METHODS We hypothesize that lung dynamics will be stable over a 2-3 min time period and that this stability can be employed to check biomechanical estimation stability. For this purpose, two sets of 12 fast helical free breathing computed tomography scans (FHFBCT) were acquired back-to-back for each of the subjects. A published breathing motion model [five-dimensional CT (5DCT)] was generated from each set. Both of the models were used to generate two biomechanical modeling input sets: (a) The lung geometry at the end-exhalation, and (b) the voxel displacement map that mapped the end-exhalation lung geometry with the end-inhalation lung geometry. Finite element biomechanical lung models were instantiated using the end-exhalation lung geometries. The models included voxel-specific lung tissue elasticity values and were optimized using a gradient search approach until the biomechanical model-generated displacement maps matched those of the 5DCT voxel displacement maps. Finally, the two elasticity distributions associated with each of the patient 5DCTs were quantitatively compared. Because the end-exhalation geometries differed slightly between the two scan datasets, the elasticity distributions were deformably mapped to one of the exhalation datasets. RESULTS For the 10 patients, on average, 90% of parenchymal voxels had |
| Databáze: | OpenAIRE |
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