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The ULMARM project aims to enhance ultrasound imaging by developing advanced reconstruction techniques and deep learning models. It focuses on improving the tracking of microbubbles in ultrasound localization microscopy, enabling faster and more accurate imaging for clinical applications.
The ULMARM, or Ultrasound Localization Microscopy with Advanced Reconstruction Models, seeks to improve ultrasound imaging by addressing key challenges in Ultrasound Localization Microscopy (ULM).
Traditional ULM methods require long acquisition times and ultra high frame rates to track microbubbles (MBs) accurately, stretching the capabilities of current clinical ultrasound systems. ULMARM aims to solve these challenges by developing advanced reconstruction techniques and integrating deep learn…
TECHNISCHE UNIVERSITEIT EINDHOVEN
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Italy, Trento
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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