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34 citation(s) found for "Zhou, Yuxiang".

Artificial Intelligence Image Artifacts: A Call to Label AI Images
Matthees, Nicholas , Zhou, Yuxiang , Ikuta, Ichiro , Matthees, Nicholas , Zhou, Yuxiang , Ikuta, Ichiro

Mayo Clinic

Radiology: Artificial Intelligence | June 4, 2025 | Volume: 7 | Issue: 4 | Pages: No page available

10.1148/ryai.250235 | PMID 40464699 Get It

Engineered exosome-based treatment for peripheral nerve regeneration: a narrative review of clinical prospects
Yao, Xiaomin, Zhou, Yuxiang , Wan, Xue , Yang, Pengxiang , Liu, Yingyu , Jie, Jing

Mayo Clinic

Advanced Technology in Neuroscience | May 23, 2025 | Volume: 2 | Issue: 3 | Pages: 135-143

10.4103/atn.atn-d-25-00009 Get It

With their unique therapeutic properties and amenability to engineering modifications, exosomes are considered a promising tool for treating peripheral nerve injuries. Through genetic engineering or physicochemical modifications, the targeting ability and functionality of exosomes can be further enhanced, enabling efficient delivery of therapeutic molecules and significantly boosting their therapeutic potential. This review aims to explore exosome-based therapies in peripheral nerve repair and their mechanisms and summarizes recent advances in the roles of exosomes in neuroprotection, axonal regeneration, vascular regeneration, and inflammatory modulation. Exosomes act as natural messengers between cells, carrying genetic materials, cytokines, and growth factors that can modulate the local microenvironment and foster peripheral nerve regeneration. Studies have shown that exosomes derived from Schwann cells, macrophages, neurons, and mesenchymal stem cells can all promote axonal regeneration and modulate inflammatory responses through various mechanisms. Compared with cell therapy, exosome therapy offers greater stability and safety, with the ability to traverse biological barriers, presenting new possibilities for regenerative medicine and precision therapy. However, challenges such as the heterogeneity and complexity of exosomes, uncertainty of in vivo distribution and metabolic pathways, and the limitations of targeting remain to be addressed. Future research will focus on the engineering modifications of exosomes to enhance their therapeutic efficiency and targeting precision.
MEDL: Unsupervised Multi-Stage Ensemble Deep Learning With Diffusion Models for Denoising MRI Scans
Vora, Sahil , Paul, Riti, Ding, Pak Lun Kevin, Patel, Ameet, Hu, Leland , Zhou, Yuxiang, Li, Baoxin , Patel, Ameet C. , Sharpe, Richard E. , Zhou, Yuxiang

Mayo Clinic

2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI) | May 12, 2025 | Volume: No volume available | Issue: No issue available | Pages: 1-5

10.1109/isbi60581.2025.10981026 Get It

Brain Perfusion Abnormalities using pCASL Imaging in Participants with Acute Post-Traumatic Headache due to Mild Traumatic Brain Injury (P4-12.005)
Nikolova, Simona , Li, Jing , Thomas, Aaron , Ross, Katherine , Smith, Dani, Leonard, Michael , Schwedt, Todd J. , Dumkrieger, Gina , Wu, Teresa , Zhou, Yuxiang , Leonard, Michael, Chong, Catherine D.

Mayo Clinic

Neurology | April 7, 2025 | Volume: 104 | Issue: 7_Supplement_1 | Pages: No page available

10.1212/wnl.0000000000209006 Get It

Increased Cerebral Blood Flow in Cognitively Intact APOE4 Carriers Predicts Cerebral Amyloid Burden (P4-3.003)
Dumitrașcu, Oana , Woodruff, Bryan K. , Zhou, Yuxiang, Caselli, Richard J. , Nikolova, Simona , Dumkrieger, Gina , Baxter, Leslie C. , Zhou, Yuxiang

Mayo Clinic

Neurology | April 7, 2025 | Volume: 104 | Issue: 7_Supplement_1 | Pages: No page available

10.1212/wnl.0000000000210596 Get It

Artifacts and Safety of Oral Metals in Subjects Undergoing High-field Strength Brain Magnetic Resonance Imaging (P12-2.007)
Dumitrascu, Celine, Zhou, Yuxiang, Dumitrascu, Celine, Zhou, Yuxiang

Mayo Clinic

Neurology | April 7, 2025 | Volume: 104 | Issue: 7_Supplement_1 | Pages: No page available

10.1212/wnl.0000000000208709 Get It

Intensity-Based Assessment of Hippocampal Segmentation Algorithms Using Paired Precontrast and Postcontrast MRI
Cramer, Justin , Baxter, Leslie C. , Lang, Harrison, Parker, Jonathon J. , Matthees, Nicholas , Ikuta, Ichiro , Wang, Yalin , Parker, Jonathon, Chen, Alicia , Matthees, Nicholas , Ikuta, Ichiro , Wang, Yalin , Baxter, Leslie C. , Lang, Harrison, Chen, Alicia M. , Zhou, Yuxiang

Mayo Clinic

Bioengineering | March 4, 2025 | Volume: 12 | Issue: 3 | Pages: 258

10.3390/bioengineering12030258 | PMID 40150721 Get It

Hippocampal segmentation is essential in neuroimaging for evaluating conditions like Alzheimer’s dementia and mesial temporal sclerosis, where small volume changes can significantly impact normative percentiles. However, inaccurate segmentation is common due to the inclusion of non-hippocampal structures such as choroid plexus and cerebrospinal fluid (CSF), leading to volumetric overestimation and confounding of functional analyses. Current methods of assessment largely rely on virtual or manual ground truth labels, which can fail to capture these inaccuracies. To address this shortcoming, this study introduces a more direct voxel intensity-based method of segmentation assessment. Using paired precontrast and postcontrast T1-weighted MRIs, hippocampal segmentations were refined by adding marginal gray matter and removing marginal CSF and enhancement to determine a total required correction volume. Six segmentation algorithms—e2dhipseg, HippMapp3r, hippodeep, AssemblyNet, FastSurfer, and QuickNat—were implemented and compared. HippMapp3r and e2dhipseg, followed closely by hippodeep, exhibited the least total correction volumes, indicating superior accuracy. Dedicated hippocampal segmentation algorithms outperformed whole-brain methods.
The QIBA Profile for Dynamic Susceptibility Contrast MRI Quantitative Imaging Biomarkers for Assessing Gliomas
Shiroishi, Mark S. , Erickson, Bradley J. , Hu, Leland , Barboriak, Daniel P. , Becerra, Lino , Bell, Laura C. , Boss, Michael A. , Boxerman, Jerrold L. , Cen, Steven , Cimino, Lisa , Fan, Zhaoyang , Kirsch, John E. , Ameli, N. O. , Nazemi, Sina , Quarles, C. Chad , Rosen, Mark A. , Rodríguez, Luis Salvador, Zahlmann, Gudrun , Obuchowski, Nancy A. , Wu, Ona , Hu, Leland S., Chakhoyan, Ararat , Graaf, Wolter de, Dhakal, Kiran , Erickson, Bradley J., Kadbi, Mo , Quarles, Christopher Chad, Rodríguez, Luis G. , Rosen, Mark, Hu, Leland S , Keenan, Kathryn E , Kirsch, John E , Ameli, Nima , Nazemi, Sina , Quarles, C Chad , Rosen, Mark A , Rodriguez, Luis , Schmainda, Kathleen M , Zahlmann, Gudrun , Zhou, Yuxiang , Obuchowski, Nancy , Wu, Ona , Boxerman, Jerrold L , Boss, Michael A , Erickson, Bradley J , Barboriak, Daniel P , Bell, Laura C , Keenan, Kathryn E. , Zhou, Yuxiang , Hu, Leland S., Conte, Gian Marco , Ellingson, Benjamin M. , Emblem, Kyrre E , Erickson, Bradley J., Quarles, Christopher Chad

Mayo Clinic

Radiology | December 10, 2024 | Volume: 313 | Issue: 3 | Pages: No page available

10.1148/radiol.232555 | PMID 39656118 Get It

The Quantitative Imaging Biomarkers Alliance Profile for dynamic susceptibility contrast (DSC) MRI and its longitudinal claims for the precision of a DSC MRI–derived quantitative imaging biomarker to assess the relative cerebral blood volume changes in gliomas are summarized.
How to Implement Clinical 7T MRI—Practical Considerations and Experience with Ultra-High-Field MRI
Cramer, Justin , Ikuta, Ichiro , Ikuta, Ichiro , Zhou, Yuxiang

Mayo Clinic

Bioengineering | December 5, 2024 | Volume: 11 | Issue: 12 | Pages: 1228

10.3390/bioengineering11121228 | PMID 39768046 Get It

The implementation of clinical 7T MRI presents both opportunities and challenges for advanced medical imaging. This tutorial provides practical considerations and experiences with 7T MRI in clinical settings. We first explore the history and evolution of MRI technology, highlighting the benefits of increased signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and susceptibility at 7T. Technical challenges such as increased susceptibility artifacts and RF inhomogeneity are also discussed, along with innovative adaptations. This review also discusses hardware and software considerations, including new parallel transmission head coils and advanced image processing techniques to optimize image quality. Safety considerations, such as managing tissue heating and susceptibility to artifacts, are also discussed. Additionally, clinical applications of 7T MRI are examined, focusing on neurological conditions such as epilepsy, multiple sclerosis, and vascular imaging. Emerging trends in the use of 7T MRI for spectroscopy, perfusion imaging, and multinuclear imaging are explored, with insights into the future of ultra-high-field MRI in clinical practice. This review aims to provide clinicians, technologists, and researchers with a roadmap for successfully implementing 7T MRI in both research and clinical environments.
A Full Brain 3D-Magnetic Resonance Spectroscopic Imaging Study of Migraine and Post-Traumatic Headache
Nikolova, Simona , Chong, Brian W. , Schwedt, Todd J. , Zhou, Yuxiang , Dumkrieger, Gina , Chong, Catherine D.

Mayo Clinic

Neurotrauma Reports | November 11, 2024 | Volume: 5 | Issue: 1 | Pages: 1060-1068

10.1089/neur.2024.0051 Get It