Volumetric Characteristics of Idiopathic Pulmonary Fibrosis Lungs: Computational Analyses of High Resolution Computed Tomography Images of Lung Lobes

Abstract

Background: Idiopathic pulmonary fibrosis (IPF) is a fatal lung disease involving progressive degeneration of lung capacity. Current diagnosis of IPF heavily relies on visual evaluation of fibrotic features in high-resolution computed tomography (HRCT) images of the lungs. Although the characteristics of this disease have been studied at the molecular and cellular levels, little is known about the mechanical characteristics of IPF lungs inferred from HRCT images. To this end, we performed a pilot study to investigate the radiographic and volumetric characteristics of lungs in subjects with IPF. Methods: We collected HRCT images of healthy (N = 13) and IPF (N = 9) lungs acquired at breath-holds after full inspiration (expanded state) and full expiration (contracted state). We performed statistical analyses on Hounsfield unit (HU) histograms, lobar volumes (V: lobe volume normalized by the lung volume), and lobar flows (Q: the difference in lobe volume divided by the difference in lung volume between the expanded and contracted states).

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Document Details

Document Type
Technical Report
Publication Date
Oct 11, 2019
Accession Number
AD1089874

Entities

People

  • Anders Wallqvist
  • Bora Sul
  • Jaques Reifman
  • Joanne Cassani
  • Lucia Flors
  • Michael J. Morris
  • Talissa Altes

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Application Software
  • Biomedical Research
  • Carbon Monoxide
  • Data Analysis
  • Department Of Defense
  • Dielectric Gases
  • Diseases And Disorders
  • Health Services
  • High Resolution
  • Lung Diseases
  • Mechanical Properties
  • Medical Personnel
  • Network Science
  • Pulmonary Function
  • Standards
  • Veins
  • X-Ray Computed Tomography

Fields of Study

  • Medicine

Readers

  • Business Analytics
  • Immunology and Pathology
  • Medical Imaging.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference