4. 尊龙凯时 - 人生就是搏!

      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
      Editors/Reviewer
      Contributors

      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
      Editorial Board
      Editors/Reviewer
      Contributors
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