Author Archives: Cristian Badea

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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Impact of Age Related Macular Degeneration through Advanced Imaging

Posted on January 10, 2024 by Cristian Badea

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

Posted on December 13, 2023 by Cristian Badea

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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A photon counting CT imaging pipeline for cardiac phenotyping in APOE mice

Posted on October 8, 2023 by Cristian Badea

Our new study develops an advanced imaging pipeline using photon-counting CT to assess cardiac structure & function in mouse models of apolipoprotein E gene variations. Results highlight genotype-specific cardiovascular differences and the impact of diet. Allphin, A. J., Mahzarnia, A., … Continue reading →

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Leveraging 3D Bioprinting & Photon-Counting Computed Tomography for Regenerative Medicine

Posted on September 17, 2023 by Cristian Badea

An exciting publication on our collaborative research focusing on the innovative applications of 3D Bioprinting and Photon-Counting CT. Gil CJ, Evans CJ, Li L, Allphin AJ, Tomov ML, Jin L, Vargas M, Hwang B, Wang J, Putaturo V, Kabboul G, … Continue reading →

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Deep Learning Denoising for Photon-Counting CT

Posted on July 16, 2023 by Cristian Badea

Nadkarni, R.; Clark, D.P.; Allphin, A.J.; Badea, C.T. A Deep Learning Approach for Rapid and Generalizable Denoising of Photon-Counting Micro-CT Images. Tomography 2023, 9, 1286-1302. https://doi.org/10.3390/tomography9040102

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MCR toolkit

Posted on June 7, 2023 by Cristian Badea

Our QIAL developed Multi-Channel CT Reconstruction (MCR) Toolkit addresses unique challenges associated with in vivo preclinical micro-CT and supporting the translation of these advancements to the clinical domain. We have now published a paper in Medical Physics detailing our toolkit’s … Continue reading →

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