Literature DB >> 16481680

Novel method to calculate pulmonary compliance images in rodents from computed tomography acquired at constant pressures.

Thomas Guerrero1, Richard Castillo, Kevin Sanders, Roger Price, Ritsuko Komaki, Dianna Cody.   

Abstract

Our goal was to develop a method for generating high-resolution three-dimensional pulmonary compliance images in rodents from computed tomography (CT) images acquired at a series of constant pressures in ventilated animals. One rat and one mouse were used to demonstrate this technique. A pre-clinical GE flat panel CT scanner (maximum 31 line-pairs cm(-1) resolution) was utilized for image acquisition. The thorax of each animal was imaged with breath-holds at 2, 6, 10, 14 and 18 cm H2O pressure in triplicate. A deformable image registration algorithm was applied to each pair of CT images to map corresponding tissue elements. Pulmonary compliance was calculated on a voxel by voxel basis using adjacent pairs of CT images. Triplicate imaging was used to estimate the measurement error of this technique. The 3D pulmonary compliance images revealed regional heterogeneity of compliance. The maximum total lung compliance measured 0.080 (+/-0.007) ml air per cm H2O per ml of lung and 0.039 (+/-0.004) ml air per cm H2O per ml of lung for the rat and mouse, respectively. In this study, we have demonstrated a unique method of quantifying regional lung compliance from 4 to 16 cm H2O pressure with sub-millimetre spatial resolution in rodents.

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Year:  2006        PMID: 16481680     DOI: 10.1088/0031-9155/51/5/003

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  9 in total

1.  A micro-computed tomography-based method for the measurement of pulmonary compliance in healthy and bleomycin-exposed mice.

Authors:  Scott Shofer; Cristian Badea; Scott Auerbach; David A Schwartz; G Allan Johnson
Journal:  Exp Lung Res       Date:  2007 Apr-May       Impact factor: 2.459

2.  Analysis of regional mechanics in canine lung injury using forced oscillations and 3D image registration.

Authors:  David W Kaczka; Kunlin Cao; Gary E Christensen; Jason H T Bates; Brett A Simon
Journal:  Ann Biomed Eng       Date:  2010-12-04       Impact factor: 3.934

3.  Comparison of CT-derived ventilation maps with deposition patterns of inhaled microspheres in rats.

Authors:  Richard E Jacob; Wayne J Lamm; Daniel R Einstein; Melissa A Krueger; Robb W Glenny; Richard A Corley
Journal:  Exp Lung Res       Date:  2014-12-16       Impact factor: 2.459

Review 4.  Assessment of Heterogeneity in Lung Structure and Function During Mechanical Ventilation: A Review of Methodologies.

Authors:  Jacob Herrmann; Michaela Kollisch-Singule; Joshua Satalin; Gary F Nieman; David W Kaczka
Journal:  J Eng Sci Med Diagn Ther       Date:  2022-05-11

Review 5.  Micro-CT of rodents: state-of-the-art and future perspectives.

Authors:  D P Clark; C T Badea
Journal:  Phys Med       Date:  2014-06-26       Impact factor: 2.685

6.  Dynamic multiscale boundary conditions for 4D CT of healthy and emphysematous rats.

Authors:  Richard E Jacob; James P Carson; Mathew Thomas; Daniel R Einstein
Journal:  PLoS One       Date:  2013-06-14       Impact factor: 3.240

Review 7.  In vivo small animal micro-CT using nanoparticle contrast agents.

Authors:  Jeffrey R Ashton; Jennifer L West; Cristian T Badea
Journal:  Front Pharmacol       Date:  2015-11-04       Impact factor: 5.810

8.  A Resuscitation Option for Upper Airway Occlusion Based on Bolus Transtracheal Lung Inflation.

Authors:  Sophia Villiere; Ko Nakase; Richard Kollmar; Hamid Arjomandi; Jason Lazar; Krishnamurthi Sundaram; Joshua B Silverman; Michael Lucchesi; David Wlody; Mark Stewart
Journal:  Laryngoscope Investig Otolaryngol       Date:  2018-08-09

9.  Technical Note: On the spatial correlation between robust CT-ventilation methods and SPECT ventilation.

Authors:  Edward Castillo; Richard Castillo; Yevgeniy Vinogradskiy; Girish Nair; Inga Grills; Thomas Guerrero; Craig Stevens
Journal:  Med Phys       Date:  2020-10-17       Impact factor: 4.071

  9 in total

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