Author Archives: Cristian Badea

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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Co-Clinical Imaging

Posted on May 11, 2023 by Cristian Badea

Our group contributed to these new papers from the co-clinical imaging research program (CIRP) : 1.Moore, S.M.; Quirk, J.D.; Lassiter, A.W.; Laforest, R.; Ayers, G.D.; Badea, C.T.; Fedorov, A.Y.; Kinahan, P.E.; Holbrook, M.; Larson, P.E.Z.; Sriram, R.; Chenevert, T.L.; Malyarenko, … Continue reading →

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QIAL papers at SPIE Medical Imaging 2023

Posted on May 4, 2023 by Cristian Badea

1)  A Allphin, R Nadkarni, D Clark, C T Badea. Ex vivo high-resolution hybrid micro-CT imaging using photon counting and energy integrating detectors. Proc. of SPIE Vol 12468, 124680V-1, 2023 2) DP Clark, FR Schwartz, A Euler, V Mergen, H … Continue reading →

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Denoising dual-energy abdominal CT of obese patients

Posted on April 21, 2023 by Cristian Badea

The purpose of this study was to evaluate a novel algorithm for noise reduction in obese patients for dual-source dual-energy (DE) CT abdominal imaging. We demonstrated that multi-channel denoising methods (RSKR, multi-energy (ME)-NLM) could reduce image noise and improve both … Continue reading →

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Spectral CT imaging using GaAs and CdTe photon counting detectors

Posted on April 6, 2023 by Cristian Badea

In this study, we compared the performance of PC micro-CT imaging when using two types of PCDs. We have also demonstrated the ability of PCDs to separate a wide range of K-edge materials. Alex Jeffrey Allphin, Darin P Clark, Thomas … Continue reading →

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Group Photo

Posted on March 21, 2023 by Cristian Badea

QIAL members and the Bass Connections team, March 2023 Artist and T-shirts Designer: Nariman (Ali) Mahzarnia  

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Animal Models and Their Role in Imaging-Assisted Co-Clinical Trials

Posted on March 16, 2023 by Cristian Badea

This overview paper describes the ten co-clinical trials of investigators from eleven institutions who are supported by the CIRP initiative and are members of the Animal Models and Co-clinical Trials (AMCT) Working Group. Examples of MRI and micro-CT images in … Continue reading →

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Identifying vulnerable brain networks associated with Alzheimer’s disease risk

Posted on November 9, 2022 by Cristian Badea

Ali Mahzarnia, Jacques A Stout, Robert J Anderson, Hae Sol Moon, Zay Yar Han, Kate Beck, Jeffrey N Browndyke, David B Dunson, Kim G Johnson, Richard J O’Brien, Alexandra Badea, Identifying vulnerable brain networks associated with Alzheimer’s disease risk, Cerebral Cortex, … Continue reading →

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QIAL papers @ CT Meeting 2022

Posted on October 19, 2022 by Cristian Badea

1. C. Badea, D. Clark, A. Alphin, J. C. Ramirez-Giraldo, P. Bhandari, Y. Mowery, K. Ghaghada. Co-clinical photon counting CT research for multi-contrast imaging. Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 123040G (2022)  https://doi.org/10.1117/12.2646399 2. … Continue reading →

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