Project leader
Investigator | Salim Si-Mohamed |
Salim.Si-Mohamed@creatis.insa-lyon.fr |
About
X-ray computed tomography (CT) is the cornerstone of lung imaging due to its higher spatial resolution, convenience, availability, and faster acquisition time compared to other imaging methods such as magnetic resonance imaging and nuclear imaging. However, it only provides morphological characterization, which is not fully suited to pulmonary diseases that represent a complex combination of respiratory, vascular, and inflammatory dysfunctions. Their diagnosis requires both morphological and functional analysis of ventilation, perfusion, and molecular biomarkers. Thus, the standard of care relies on a multimodal diagnostic workup involving scintigraphy, positron emission tomography, and tissue biopsy. This presents three main drawbacks: either the workup is not precise enough, or it is invasive, or it is time-consuming while worsening the patient’s prognosis.
Spectral photon-counting computed tomography (SPCCT) capitalizes not only on all the advantages of morphological CT imaging but also offers a cutting-edge imaging method known as K-Edge imaging. This technique enables the specific and quantitative identification of one or more atoms simultaneously within tissue, allowing simultaneous functional imaging of independent or interactive processes. However, K-Edge color imaging is still limited by its low sensitivity and the scarcity of tracers for potential human use, and thus has not yet been implemented in clinical practice.
Objectives
By combining medical imaging, pulmonology, chemistry, and physics, the KOLOR SPCCT imaging will bridge the gap between morphological and functional imaging in a single breath-hold. To achieve this goal, the project proposes to:
- Develop K-Edge color imaging: create a dedicated, highly sensitive imaging tool
- Diagnose lung diseases: provide ventilation and perfusion imaging in a "single breath-hold" in animal models
- Predict lung diseases: enable "single breath-hold" monitoring of molecular inflammatory load in animal models

Members
- Emmanuel Roux
- Odyssée Merveille