Advances in digital imaging and computer power over the last couple of decades have made advanced tomographic and pseudo-tomographic imaging with x rays possible. More recently, artificial intelligence-based processes have been introduced in the medical imaging field, including applications in image reconstruction. New image formation methods that take advantage of digital detectors, iterative reconstruction, and AI-based approaches allow for the development of high spatial- and temporal-resolution functional imaging with x rays, either for material decomposition and/or for dynamic perfusion imaging. These are key approaches that will allow enhanced screening and treatment planning and monitoring.
The AXTI lab is engaged in the development of cutting-edge dedicated breast CT and digital breast tomosynthesis systems for functional imaging of the breast. These new modalities involve the development, optimization, characterization, and patient testing of the first such systems in the world.
You will guide a team of PhD students and participate in the development of new image acquisition and correction methods that combine traditional methods and AI-based approaches, for both imaging modalities: dedicated breast CT and digital breast tomosynthesis. While the focus of the work will be on the medical physics aspects of image formation and correction, there will also be opportunities to contribute to all steps of the imaging chain, including reconstruction and radiomics-based analysis. There will be close collaboration with industry partners to facilitate the translation of these methods into clinical evaluation and use.
Tasks will consist of development, implementation, validation, and testing of image acquisition and correction methods using, where needed, AI-based methods, computer simulations of image acquisition, physical and digital phantom-based imaging, presenting and writing papers on the study results, supervising PhD students (and potentially Master's students), and participating and aiding in the planning and writing of new grant applications.
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