Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Vibration Response Imaging (VRI) in Patients That Are Undergoing Pulmonary Interventional Procedure

Deep Breeze · 2006
ClinicalTrials.gov · Datasets · License: Public Domain · 2006
Open Source ↗
Vibration response imaging (VRI) technology, provides a radiation-free dynamic image of the lung, by visualizing vibration energy emitted during the respiration cycle (lung sounds). Airflow in the lungs during the respiration cycle creates vibrations that propagate through the lung tissue; these vibrations are affected by the structural properties of the lungs and may vary in space, time and frequency. Moreover, any structural alteration, such as a bronchial obstruction or space occupying infiltration, is reflected in a corresponding modification of the vibration response. As obstructions that occur in airways alter airflow, the VRI may provide additional lung function information prior to treatment for airway obstruction and during follow-up. Moreover, the VRI may provide the physician immediate evaluation of the improvement of air flow distribution, quantitative and qualitative measurements. Furthermore, the VRI is a non-invasive, radiation free procedure which is simple and doesn't require the level of patient effort required for lung function test and other evaluation.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1420613
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive