People Ioannis Sechopoulos Advanced X-ray Tomographic Imaging Lab (AXTI)

Advanced X-ray Tomographic Imaging Lab (AXTI)

AXTI is involved in characterization and optimization of advanced tomographic breast imaging methods for cancer detection, diagnosis, and therapy response monitoring improvement, in addition to developing novel radiation dose metrics for personalized dosimetry in breast imaging.

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Advanced X-ray Tomographic Imaging Lab (AXTI)

Research in medical imaging is a wide field which spans from the physics of image acquisition to the analysis of the generated images. Between these two ends, the medical imaging chain involves several additional steps, such as image generation, reconstruction and processing, along with radiation dosimetry characterization, quality control, and human and computer image interpretation. To maximize the effectiveness of medical imaging, all these steps need to be optimized and assessed before advancing a medical imaging modality into the clinic or for a new clinical application. AXTI aims to have an impact in all these stages, covering different medical physics, biomedical engineering, human image perception, and computer science skills that work together for the characterization and optimization of advanced x-ray-based medical imaging methods and their application.

Research group leader

Ioannis Sechopoulos PhD

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Aims of this research group

  • Technological improvement, design, and optimization of cutting-edge x-ray imaging modalities
  • Clinical trials for breast and body tomographic imaging
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Aims of this research group

  • Technological improvement, design, and optimization of cutting-edge x-ray imaging modalities
  • Clinical trials for breast and body tomographic imaging
  • Image quality assessment and improvement for cancer detection
  • Dosimetric characterization of x-ray based imaging modalities
  • Automated image analysis for cancer characterization

Radboud Institute for Health Sciences

Ideally, every procedure in clinical practice and public health should take place based on proof, instead of intuition or 'experience'. Our aim is to innovate and personalize healthcare and public health. read more