Group Photo

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

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 the p53/MCA model and the schematics of the preclinical arm of the clinical trial organized at Duke.

Peehl, D.M.; Badea, C.T.; Chenevert, T.L.; Daldrup-Link, H.E.; Ding, L.; Dobrolecki, L.E.; Houghton, A.M.; Kinahan, P.E.; Kurhanewicz, J.; Lewis, M.T.; Li, S.; Luker, G.D.; Ma, C.X.; Manning, H.C.; Mowery, Y.M.; O’Dwyer, P.J.; Pautler, R.G.; Rosen, M.A.; Roudi, R.; Ross, B.D.; Shoghi, K.I.; Sriram, R.; Talpaz, M.; Wahl, R.L.; Zhou, R. Animal Models and Their Role in Imaging-Assisted Co-Clinical TrialsTomography 20239, 657-680. https://doi.org/10.3390/tomography9020053

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Identifying vulnerable brain networks associated with Alzheimer’s disease risk

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 riskCerebral Cortex, 2022;, bhac419, https://doi.org/10.1093/cercor/bhac419

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QIAL papers @ CT Meeting 2022

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. Darin P. Clark, Alex J. Allphin, Yvonne M. Mowery, Cristian T. Badea. Photon-counting x-ray CT perfusion imaging in animal models of cancer . Proceedings Volume 7th International Conference on Image Formation in X-Ray Computed Tomography, 123041B (2022) https://doi.org/10.1117/12.2646403
3. Rohan Nadkarni, Alex Allphin, Darin Clark, Cristian Badea. Material decomposition from photon-counting CT using a convolutional neural network and energy-integrating CT training labels.  Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 123041K (2022)) https://doi.org/10.1117/12.2646405
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Preclinical implementation of a clinical trial

This study aimed to investigate whether adding neoadjuvant radiotherapy (RT), anti-programmed cell death protein-1 (PD-1) antibody (anti-PD-1), or RT + anti-PD-1 to surgical resection improves disease-free survival for mice with soft tissue sarcomas (STS). The paper has been included in the highlights.

https://doi.org/10.1158/1535-7163.MCT-21-0991 

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Deep learning based material decomposition for photon counting CT

R Nadkarni, A Allphin, DP Clark, CT Badea. Material decomposition from photon-counting CT using a convolutional neural network and energy-integrating CT training labels.  Physics in Medicine & BiologyVolume 67Number 15https://doi.org/10.1088/1361-6560/ac7d34

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The Absolute Winding Number

Badea A, Li D, Niculescu A, Anderson R, Stout J, Williams C, Colton C, Maeda N, Dunson D. Absolute Winding Number Differentiates Mouse Spatial Navigation Strategies With Genetic Risk for Alzheimer’s Disease Frontiers in Neuroscience. 2022 Jan;16. PMCID: PMC9247395.

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Spectral micro-CT and Preclinical Applications

We presented this talk  on spectral micro-CT and its applications at the NCI CIRP Annual Meeting,  June 22-23, 2022.

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Deep learning based multimodal segmentation of acute ischemic stroke lesions in the human brain

Hae Sol Moon, Lindsay Heffron, Ali Mahzarnia, Barnabas Obeng-Gyasi, Matthew Holbrook, Cristian T. Badea, Wuwei Feng, Alexandra Badea,
Automated multimodal segmentation of acute ischemic stroke lesions on clinical MR images,
Magnetic Resonance Imaging,
2022, ISSN 0730-725X,
https://doi.org/10.1016/j.mri.2022.06.001.

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Imaging Biomarkers for Alzheimer’s Disease Using Magnetic Resonance Microscopy

Book Chapter: Alexandra Badea, Jacques A Stout, Robert J Anderson, Gary P Cofer. Imaging Biomarkers for Alzheimer’s Disease Using Magnetic Resonance Microscopy

in Magnetic Resonance Microscopy: Instrumentation and Applications in Engineering, Life Science, and Energy Research.

Sabina Haber-Pohlmeier (Editor), Bernhard Blumich (Editor), Luisa Ciobanu (Editor), 2022

ISBN: 978-3-527-34760-5 April 2022 464 Pages

 

 

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