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Updated: Jan 10, 2026

Non-invasive Optical Imaging of the Lymphatic Vasculature of a Mouse
Published on: March 8, 2013
Non-Contrast Radiation-Free NIR Lung Imaging
Jiří Votruba1, Martin Drahanský2, Tomáš Goldmann3
1I. Clinic of Tuberculosis and Respiratory Diseases, General University Hospital in Prague, 128 08 Prague, Czech Republic.
This study introduces a new, radiation-free optical technique using near-infrared (NIR) translumination for locating solitary pulmonary nodules (SPNs). This method visualizes lung tissue, potentially improving biopsy guidance without X-rays.
Area of Science:
- Pulmonary Medicine
- Medical Imaging
- Optical Physics
Background:
- Solitary pulmonary nodule (SPN) localization is difficult, often requiring ionizing radiation.
- Current endoscopic navigation methods for SPN detection face limitations.
- There is a need for non-ionizing imaging techniques for pulmonary procedures.
Purpose of the Study:
- To develop and assess a novel, radiation-free optical method for SPN localization.
- To utilize near-infrared (NIR) translumination for visualizing lung parenchyma.
- To evaluate the feasibility of NIR translumination for intra-thoracic visualization.
Main Methods:
- A miniaturized NIR light source was inserted into the bronchial tree.
- Transmitted and scattered NIR light was detected from the pleural side using minipleuroscopy and a CMOS camera.
- The technique leverages intrinsic optical properties of lung tissue, avoiding contrast agents.
Main Results:
- Clear visualization of tissue structures through up to 4 cm of ex vivo porcine lung parenchyma.
- Consistent detection of bronchial NIR illumination from the pleural cavity in a ventilated pig.
- Distinct imaging of lobular structures and bronchial mucosa was achieved.
Conclusions:
- Near-infrared (NIR) translumination offers radiation-free intra-thoracic visualization.
- This technique shows promise as an adjunct for biopsy guidance in pulmonary procedures.
- Further research is needed for clinical validation and translation to human applications.
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