Visualization of respiratory flows from 3D reconstructed alveolar airspaces using X-ray tomographic microscopy

被引:29
|
作者
Sznitman, J. [1 ]
Sutter, R. [4 ]
Altorfer, D. [4 ]
Stampanoni, M. [2 ,3 ]
Roesgen, T. [4 ]
Schittny, J. C. [5 ]
机构
[1] Princeton Univ, Dept Mech & Aerosp Engn, Princeton, NJ 08544 USA
[2] Paul Scherrer Inst, Swiss Light Source Project, CH-5232 Villigen, Switzerland
[3] Swiss Fed Inst Technol, Inst Biomed Engn, CH-8092 Zurich, Switzerland
[4] Swiss Fed Inst Technol, Inst Fluid Dynam, CH-8092 Zurich, Switzerland
[5] Univ Bern, Inst Anat, CH-3010 Bern, Switzerland
关键词
Synchrotron radiation X-ray tomographic microscopy (SRXTM); Computational fluid dynamics (CFD); Pulmonary acinus; Alveolar flow; AEROSOL TRANSPORT; PULMONARY ACINUS; LUNG; AIRWAYS; MODEL; DEXAMETHASONE; MORPHOMETRY; MATURATION; DEPOSITION;
D O I
10.1007/s12650-010-0043-0
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A deeper knowledge of the three-dimensional (3D) structure of the pulmonary acinus has direct applications in studies on acinar fluid dynamics and aerosol kinematics. To date, however, acinar flow simulations have been often based on geometrical models inspired by morphometrical studies; limitations in the spatial resolution of lung imaging techniques have prevented the simulation of acinar flows using 3D reconstructions of such small structures. In the present study, we use high-resolution, synchrotron radiation-based X-ray tomographic microscopy (SRXTM) images of the pulmonary acinus of a mouse to reconstruct 3D alveolar airspaces and conduct computational fluid dynamic (CFD) simulations mimicking rhythmic breathing motion. Respiratory airflows and Lagrangian (massless) particle tracking are visualized in two examples of acinar geometries with varying size and complexity, representative of terminal sacculi including their alveoli. The present CFD simulations open the path towards future acinar flow and aerosol deposition studies in complete and anatomically realistic multi-generation acinar trees using reconstructed 3D SRXTM geometries.
引用
收藏
页码:337 / 345
页数:9
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