Imaging systems design and optimization

The medical imaging pipeline involves several steps which span from the energy-tissue interaction to the generation of the final medical image. Research is continuously ongoing to design new acquisition settings through advanced computational simulation methods, and novel image reconstruction algorithms to maximize the quality of the image, especially in terms of spatial resolution and contrast detail. Moreover, when working with x-rays, the trade-off between final image quality and delivered radiation dose needs to be carefully studied to reduce the risk to the patient. Within our research group, we work on novel image acquisition and reconstruction techniques, development of phantoms and models from real patient data, computer-based simulations and dosimetry characterization to optimize x-ray-based imaging devices and promote their advancement into the clinics.


Projects

Registration algorithm accuracy evaluation in subtraction lung CT
Registration algorithm accuracy evaluation in subtraction lung CT Subtraction CT is a new technique that generates iodine maps, which reflects the perfusion in the pulmonary parenchyma, allowing the depiction of lesions and pathologies undergoing enhancement. More...
Quantitative Breast Tomosynthesis
Quantitative Breast Tomosynthesis Digital breast tomosynthesis (DBT) has rapidly been introduced for clinical use as an adjunct or replacement of mammography. More...
Model-based Reconstruction for Dedicated Breast CT Perfusion Imaging
Model-based Reconstruction for Dedicated Breast CT Perfusion Imaging We aim to extract quantitative and functional information from high-resolution tomographic images of the breast by developing a dynamic contrast-enhanced breast CT modality. More...
Optimization of dedicated breast CT for quantitative perfusion imaging
Optimization of dedicated breast CT for quantitative perfusion imaging Breast CT is a fully 3D, isotropic, high spatial and contrast resolution x-ray-based modality which brings the characteristics of tomography to breast imaging.. More...
Monte Carlo simulation for radiation dose evaluation and image system optimization
Monte Carlo simulation for radiation dose evaluation and image system optimization Monte Carlo (MC) computer simulations are a well-established methodology in diagnostic medical imaging research to estimate quantities that are challenging to be measured empirically, such as the radiation dose or the amount of scatter radiation. More...