eddysolo/demo_dce_recon
Demonstrates DCE MRI reconstruction with temporal TV regularization using the fastMRI Breast dataset.
View on GitHubeddysolo/ELITE
ELITE framework for accelerated DCE breast MRI reconstruction combining low-rank modeling and a ResNet-based enhancement stage.
View on GitHubeddysolo/MR-Motion-Phantom-Platform
Open-source platform to simulate internal organ motion for MRI testing and algorithm validation.
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FastMRI Dataset Adds Breast Imaging Data to Encourage New Directions in AI Research on MRI
Open-source MRI dataset support for reconstruction and machine learning research, including breast DCE MRI data that broadens the fastMRI benchmark ecosystem.
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How a Small Pilot Tone Is Taking On One of MRI's Big Challenges
Feature story on pilot-tone motion sensing and how compact RF tracking can improve free-breathing MRI reliability.
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Addressing the Most Challenging Tissues in Magnetic Resonance
Popular science coverage of MRI challenges in difficult tissue environments and the broader translational impact of MR innovation.
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Untangling the Maze
Science outreach article focused on complex biological imaging questions and how advanced MR approaches help reveal hidden structure.
Read articleMethod apparatus and system for determining a data signature of 3D image
Inventors: Eyal Naimi, Eddy Solomon, Israel Boaz Arnon
Abstract: A method for determining a thermal signature from thermal data of a body section by segmenting thermal values into groups and calculating contour-defining central locations for each segment. The resulting signature supports comparison against references for identifying thermally distinguishable regions.
View In Google PatentsMethod apparatus and system for determining a thermal signature
Inventors: Eyal Naimi, Eddy Solomon, Israel Boaz Arnon
Abstract: A method for extracting a thermal signature from body-surface thermal data by segmenting image values and computing representative contour points. The signature enables analysis, detection, and longitudinal monitoring of thermally distinguished regions in clinical imaging contexts.
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