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    Preliminary Application of 5T Whole Body Non-Contrast-Enhanced Magnetic Resonance Angiography

    Hao Li1*,Xianyi Zhang1,Zhang Shi2,Weirui Cai1,He Wang1
    1 The Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433
    2 Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai 200032

    Clinical evaluation of head motion correction on uMI Panorama PET/CT system

    Fei Kang1#, Zhaojuan Xie1#, Wenhui Ma1#, Zhiyong Quan1, Guiyu Li1, Kun Guo1, Xiang Li1, Taoqi Ma1, Weidong Yang1, Jing Wang1
    1 Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
    # These authors contributed equally to this article.

    Machine learning based diagnosis of Alzheimer's disease using volumetric analysis of gray and white matter

    Marufjon Salokhiddinov1, Gulnara Rahkimbaeva2
    1 Department of Radiology, Zangiota №2 Clinical Hospital, Tashkent Medical Academy, Uzbekistan
    2 Department of Neurology, Tashkent Medical Academy, Uzbekistan

    Experience with Quantitative Brain PET using the uMI 550 PET/CT at Stony Brook

    Paul Vaska1,2,3
    1 Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States
    2 Department of Radiology, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, United States
    3 PET Imaging Core, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, United States

    An AI-Empowered Head-Only Ultra-High-Performance Gradient MRI System for High Spatiotemporal Neuroimaging

    Liyi Kang1 and Dan Wu1
    1 Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China

    5T MRI Compared to 3T MRI in Routine Brain Imaging: An Evaluation of Image Quality

    Zhensong Wang1, Jianxian Liu1, Zhengyi Li1, Xin Wang1, Zhangzhu Li1, Yuan Guo1, Dan Yu2, Jie Gan1,*
    1 Department of Radiology, Shandong Provincial Third Hospital: Shandong University Affiliated Shandong Provincial Third Hospital, China
    2 United Imaging Research Institute of Intelligent Imaging, Beijing, China
    * Corresponding author

    One-stop dynamic whole-brain CT perfusion with a 320-row scanner for patients with acute ischemic stroke and the clinical value of artificial intelligence iterative reconstruction

    Jin Fang1, Wuming Li1, Tiantian Wang2, Liying Peng2, Guihua Jiang1,*
    1 Department of Radiology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
    2 Central Research Institute, United Imaging Healthcare, Shanghai, China.
    * Corresponding author

    Role of MULTIPLEX MRI in the characterization of brain tissues

    Anand H.K.a, Ramachandra C.R.a, Lohith H.P.a, Pooja B. P.a, Harshith G.a, Arjun Rajuaa
    a Tenet Diagnostic Centre, Bengaluru, India

    2024 uINNOVATION Magazine

    Editorial Board
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    Clinical Significance of Coronary Artery Calcium Score in Predicting Coronary Artery Disease: A CT Coronary Angiography Study

    Anand H. K.a, Ramachandra C. R.a, Pooja B. P.a, Arjun Rajua, Akash Gandhamalb, Dileep Kumarb
    aTenet Diagnostic Centre, Bengaluru, India
    bCentral Research Institute, Global Scientific Collaborations, United Imaging Healthcare

    Clinical Evaluation of Advanced Algorithms for CCTA: A Focus on High BMI and Elevated Heart Rate Populations

    John Osbornea, Raju Kosuria, Nishant Surapanenib, Paul Murdockc, Yongfeng Gaod
    aState of the Heart Cardiology, Dallas, Texas, USA
    bSchool of Medicine, Texas Christian University, Fort Worth, Texas, USA
    cSchool of Medicine, Texas Christian University, Fort Worth, Texas, USA
    dGlobal Scientific Collaborations, United Imaging Healthcare, Houston, USA

    Role of cardiac T1, T2 mapping and extracellular volume in the diagnosis of clinical cardiomyopathies

    Kamal Aggarwala, Dharmesh Singhb, Anjali Anandb, Dileep Kumarb
    aDepartment of Radiology, SSB Faridabad, India
    bCentral Research Institute, Global Scientific Collaborations, United Imaging Healthcare, Shanghai, China

    A Vision for Magnetic Resonance Imaging to assess Cardiotoxicity

    Mary P. Watkins1, Anne H. Atteberry1, Arun Innanje2, Shanhui Sun2, Xiao Chen2, Terence Chen2, Qamer Syed1, Joshua D. Mitchell1, Morgan Wang3, Gregory M. Lanza1
    1Division of Cardiology, Washington University Medical School, St. Louis, MO, USA
    2United Imaging Intelligence, Cambridge, MA, USA
    3United Imaging Healthcare America, Houston, TX, USA

    Free-breathing simultaneous cardiac multi-parametric mapping: technical developments and initial clinical experience

    Haikun Qia,b, Zhenfeng Lyua,b
    aSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, China
    bShanghai Clinical Research and Trial Center, Shanghai, China

    Expert interview: Cardiac Imaging, Inc. Interview with Jens Huettges

    Jens Huettgesa
    aChief Technology Officer at Cardiac Imaging, Inc.

    2023 uINNOVATION Magazine

    Editorial Board
    Editors/Reviewer
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    Editorial: The Future of Radiology

    Omer Aras, M.D.
    Department of Radiology, Memorial Sloan Kettering Cancer Center
    New York, USA

    Quantitative assessment of AI-based chest CT lung nodule detection in lung cancer screening: future prospects and main challenges

    Marufjon Salokhiddinova, Ruth Awotwea, Munojat Ismailovaa
    aRadiology Department, Republic Zangiota No-2 COVID Specialized Hospital, Uzbekistan

    Performance evaluation of the artificial intelligence assisted compressed sensing MR technique in routine clinical settings

    Adiraju Karthika, Apoorwa Devappab, Dharmesh Singhc, Dileep Kumarc
    aDepartment of Radiology, Sprint Diagnostics, Jubilee Hills, Hyderabad, Telangana 500033, India
    bDepartment of Radiology, Mahadevappa Rampure Medical College, Sedam Road, Mahadevappa Marg, Kalaburagi, Karnataka 585105, India
    cCentral Research Institute, Global Scientific Collaborations, United Imaging Healthcare

    The use of artificial intelligence in cardiac magnetic resonance imaging

    Mary Watkinsaw, Vidya Sridharbw, Xiao Chenc, Anne Atteberrya, Shanhui Sunc, Terrence Chenc, Gregory Lanzaa1
    aWashington University School of Medicine, St Louis, MO, USA
    bUIH America, Inc., Houston, TX, USA
    cUnited Imaging Intelligence, Inc., Cambridge, MA, USA
    wContributed equally to this work

    Systematic evaluation of advanced PET image reconstruction algorithms according to the Japanese standard criteria – a preliminary phantom study

    Kenta Miwaa1, Masanori Watanabeb, Masanobu Ishigurob, Tensho Yamaoa, Akira Hirayamac, Hiroshi Toyamad
    aDepartment of Radiological Sciences, School of Health Sciences, Fukushima Medical University
    bDepartment of Radiology, Fujita Health University Hospital
    cUnited Imaging Healthcare Japan K.K.
    dDepartment of Radiology, Fujita Health University School of Medicine

    Coronary CT angiogram – An evolving valuable diagnostic tool

    Rochita Venkataramanana,b,Akash Venkataramananb
    aAdvantage Imaging and Research Institute, Mylapore, Chennai, India
    bInternal Medicine PGY1, Cook County Hospital, Chicago, USA

    Future of radiology in developing countries

    Harsh Mahajana and Vidur Mahajanb
    aMahajan Imaging Private Limited, Delhi-110016, India
    bCARPL.AI Inc, San Francisco, CA-94107, USA

    PET/MR in the assessment of non-ischemic heart disease

    Haiyan Wangaw, Vidya Sridharbw,Qing Wana, Xing Chena, Zhiwen Youa, Zheng Zhangb, Jianmin Yuanb, Lingzhi Hub, Jun Zhaoa
    aDepartment of Nuclear Medicine, Shanghai East Hospital, Tongji University School of Medicine, 200120
    bUIH America, Inc., Houston, TX, USA
    wContributed equally to this work

    Mercy Radiology: our molecular imaging goals and journey

    Remy Lima,*, BHB, MBChB
    aDepartment of Radiology, Mercy Radiology, New Zealand

    2022 uINNOVATION Magazine

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