Photon-Counting and Dual-Energy Computed Tomography for Clinical Imaging
This community develops detector technologies and reconstruction algorithms for X-ray computed tomography, enabling quantitative tissue characterization and improved image quality for diagnostic and interventional applications.
The research focuses on photon-counting detectors and dual-energy spectral acquisition, with a strong emphasis on iodine quantification and contrast media optimization. Recurring themes include image reconstruction techniques, radiation dose reduction, and the application of these imaging modalities to oncology, specifically lung, gastric, and colorectal cancers, as well as coronary angiography. The work bridges detector physics, such as Monte Carlo simulations and phantom studies, with clinical evaluation of image quality and quantitative parameters for detecting lymph node metastasis and assessing tumor response.
The community is most prominent in iodine research, accounting for 1.6% of all iodine-related papers, and in tellurium research, where it represents 1.0% of the element's tracked literature. It also holds a 0.5% share of gadolinium research, reflecting the use of these contrast agents in the imaging protocols.
The community comprises 10,945 papers, published primarily in the Journal of the Optical Society of America, Medical Physics, and Physics in Medicine and Biology.
Recent work continues to explore the clinical utility of photon-counting CT, with studies comparing spectral performance against dual-energy systems, assessing ultra-high spatial resolution in cardiothoracic imaging, and applying iodine maps for predicting molecular markers in colorectal cancer.