Author Archives: Cristian Badea

Multiscale mapping of brain connections in Alzheimer’s risk

Posted on March 21, 2025 by Cristian Badea

We developed a multiscale method to map how aging and APOE risk factors impact brain connections in Alzheimer’s. Frontal & occipital bundles emerge as key predictors. Early detection might start with olfactory memory. Stout, J., Anderson, R. J., Mahzarnia, A., … Continue reading →

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Nanoparticle Contrast Agents for Photon-Counting Computed Tomography

Posted on February 14, 2025 by Cristian Badea

Our  review article is published:Devkota L, Bhavane R, Badea CT, Tanifum EA, Annapragada AV, Ghaghada KB. Nanoparticle Contrast Agents for Photon-Counting Computed Tomography: Recent Developments and Future Opportunities. Wiley Interdiscip Rev Nanomed Nanobiotechnol. 2025 Jan-Feb;17(1):e70004. doi: 10.1002/wnan.70004. PMID: 39948059. https://wires.onlinelibrary.wiley.com/doi/epdf/10.1002/wnan.70004

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Alzheimer’s Risk in Brain Networks

Posted on October 15, 2024 by Cristian Badea

Our  study links APOE gene, age, sex, and diet to brain network changes in Alzheimer’s disease. Winter, S., Mahzarnia, A., Anderson, R. J., Han, Z. Y., Tremblay, J., Stout, J. A., Moon, H. S., Marcellino, D., Dunson, D. B., & … Continue reading →

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Fast Denoising of 5D Cardiac Photon-Counting CT

Posted on September 26, 2024 by Cristian Badea

Using deep learning denoising we achieve a 32x speedup over iterative methods for 5D cardiac PCCT in the mouse! Rohan Nadkarni, Darin P. Clark, Alex Allphin, and Cristian T. Badea. Investigating Deep Learning Strategies for Fast Denoising of 5D Cardiac … Continue reading →

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New Turn-Table Micro-CT Scanner for Perfusion Imaging

Posted on August 16, 2024 by Cristian Badea

Our new turn-table micro-CT scanner offers high-resolution, low-dose dynamic perfusion imaging in mice. Allphin AJ, Nadkarni R, Clark DP, Gil CJ, Tomov M, Serpooshan V, Badea CT. Turn-table micro-CT scanner for dynamic perfusion imaging in mice: design, implementation, and evaluation. … Continue reading →

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AI-Driven Brain Age Estimation in Alzheimer’s Mouse Models

Posted on July 16, 2024 by Cristian Badea

Our study on Alzheimer’s disease risk uses advanced AI models to estimate brain age in APOE/hNOS2 mouse models: Hae Sol Moon, Ali Mahzarnia, Jacques Stout, Robert J Anderson, Zay Yar Han, Jessica T Tremblay, Cristian T. Badea, Alexandra Badea; Feature attention graph neural network for estimating brain … Continue reading →

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High-Resolution Photon Counting CT for Brain Imaging in APOE Mouse Models

Posted on May 23, 2024 by Cristian Badea

Our team developed a high-res  photon counting CT pipeline for mouse brain imaging. Faster than MRI, it reveals key differences in brain regions across APOE genotypes. Nadkarni R, Han ZY, Anderson RJ, Allphin AJ, Clark DP, Badea A, et al. … Continue reading →

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QIAL@ SPIE Medical Imaging 2024

Posted on April 10, 2024 by Cristian Badea

QIAL Contributions at SPIE Medical Imaging, San Diego, 2024 Predicting brain age and associated structural networks in mouse models with humanized APOE alleles using integrative and interpretable graph neural networks HS Moon, A Mahzarnia, J Stout, RJ Anderson, ZY Han, … Continue reading →

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Congratulations to Hae Sol Moon!

Posted on February 19, 2024 by Cristian Badea

Congratulations to  runner-up Hae Sol Moon of the Robert F. Wagner All-Conference Best Student Paper Award, sponsored by SPIE and the Medical Imaging Perception Society!   

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Gene Set Analysis Links Vascular Endothelial Growth Factor to Alzheimer’s via ITGA5

Posted on February 9, 2024 by Cristian Badea

Our new study delves into Alzheimer’s disease, revealing molecular pathways tied to hallmark biomarkers & cognitive decline. Pathway analysis identified VEGF-RB as a common link, offering insights into disease mechanisms & potential treatment avenues. Mahzarnia, Ali, Lutz, Michael W., and … Continue reading →

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