Author Archives: Cristian Badea

Alzheimer’s Risk in Brain Networks

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

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

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

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

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

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!

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

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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Impact of Age Related Macular Degeneration through Advanced Imaging

Exciting research on  Age-related Macular Degeneration (AMD)  and its impact on the brain! Using diffusion MRI, we observed significant brain changes in AMD patients, including reduced volume in key cognitive areas and altered brain connections. Stout, J.A.; Mahzarnia, A.; Dai, … Continue reading

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Understanding Alzheimer’s, brain aging, & the role of APOE2 allele

In our study, we adopted an integrative approach that combined behavioral assessments, brain imaging, and blood transcriptomics to focus on the transition from middle to old age in APOE2 mice, leading to the identification of critical brain sub-networks and regions … Continue reading

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