计算机医学成像和图形学 Computerized Medical Imaging and Graphics
心脏成像涉及一系列复杂的成像模态，如冠状动脉导管插入术，超声心动图，血管内超声，心脏CT，心脏MRI和心脏PET。
Cardiac imaging involves a complex set of imaging modalities, such as coronary catheterization, echocardiography, intravascular ultrasound, cardiac CT, cardiac MRI, and cardiac PET.
计算机辅助心脏成像
这些数字成像模态的计算机辅助分析，解释和可视化，即计算机辅助心脏成像，对于帮助术前评估，诊断或监测心脏病或筛查心血管疾病（CVD）是必不可少的。
Computer-aided analysis, interpretation and visualization of these digital imaging modalities, known as computer-assisted cardiac imaging, are essential to help preoperatively assess, diagnose or monitor heart disease or screen for cardiovascular disease (CVD).
计算机辅助心脏成像是一个跨学科的研究领域，积极采用和整合信息科学和技术的最新进展，包括心脏图像的采集，处理，分析和可视化。
Computer-aided cardiac imaging is an interdisciplinary field of research that actively adopts and integrates the latest advances in information science and technology, including cardiac image acquisition, processing, analysis and visualization.
计算机辅助心脏成像的目标是更好地了解疾病的病理和机制，评估心脏病，并预防心血管疾病的发展。
The goal of computer-assisted cardiac imaging is to better understand the pathology and mechanisms of disease, assess heart disease, and prevent the development of cardiovascular disease.
医学成像中人工智能（AI）的最新发展带动了许多用于心脏图像分析和解释的新策略和新技术的发展。
Recent advances in artificial intelligence (AI) in medical imaging have led to the development of new strategies and techniques for analyzing and interpreting cardiac images.
特刊简析
因此，我们需要组织了一个关于此研究方向的特刊，用于讨论计算机辅助心脏成像的当前趋势，挑战和机遇。
Therefore, we need to organize a special issue on this research direction to discuss the current trends, challenges and opportunities of computer-assisted cardiac imaging.
本期特刊将介绍使用人工智能推进计算机辅助心脏成像的新算法，应用和技术。
This special issue will introduce new algorithms, applications and techniques for using artificial intelligence to advance computer-assisted cardiac imaging.
在本期特刊中，我们希望收集团队的最新成果以应对以下挑战：
In this special issue, we hope to collect the latest achievements of the team to meet the following challenges:
1）使用AI加速可靠地收集和传递心脏成像数据;
- use AI to accelerate the reliable collection and transmission of cardiac imaging data;
2）利用人工智能对高分辨率心脏成像数据进行有效处理和可视化，用于临床诊断和干预;
- use artificial intelligence to effectively process and visualize high-resolution cardiac imaging data for clinical diagnosis and intervention;
3）开发和采用人工智能理论和算法，集成和理解多模态心脏成像以及相关的心脏频谱和研发数据，以客观评估心脏状况，并在心脏护理中提供精确的药物。
- develop and apply artificial intelligence theories and algorithms to integrate and understand multimodal cardiac imaging and related cardiac spectrum and research and development data to objectively assess cardiac status and provide accurate drugs in cardiac care.
此特刊的潜在主题包括但不限于：
Potential topics for this special issue include, but are not limited to:
基于AI的计算机辅助检测和诊断各种心脏成像模态。基于AI的图像处理应用于心脏评估，诊断和监测方向。
ai-based computer-aided detection and diagnosis of various cardiac imaging modes. AI - based image processing is used in cardiac assessment, diagnosis and monitoring.
基于AI的3D体积数据的实时处理。例如心脏CT、MRI和PET图像。
real-time processing of 3D volume data based on AI. For example, cardiac CT, MRI and PET images.
AI算法和技术。用于更快，更可靠地采集和显示心脏图像。
AI algorithms and techniques. For faster and more reliable collection and display of heart images.
Al算法和框架在安全性。隐私、通信、完整性和心脏图像的信任。
Al algorithm and framework in security. Privacy, communication, integrity and trust in heart images.
AI解决不平衡或非结构化心血管数据的方法。
AI approach to addressing unbalanced or unstructured cardiovascular data.
计算心脏成像中的新型机器学习算法。
new machine learning algorithms for computing cardiac imaging.
投稿
contribution
稿件应符合计算机辅助医学影像和图形的标准指南。准作者应通过http://ees.elsevier.com/cmig上的计算机辅助医学影像和图形在线提交系统提交其稿件的电子副本。
The manuscript should comply with the standard guidelines for computer-aided medical imaging and graphics. Would-be authors should through the computer aided medical image and graphics on http://ees.elsevier.com/cmig online submit electronic copies of the manuscript submission system.
论文应在文章类型部分标记为“VSI：AAI Cardiac Imaging”，并在求职信中提及“心脏成像人工智能的进展”特刊。每篇论文将由至少两名独立评审员进行评审。
The paper should be labeled “VSI: AAI Cardiac Imaging” in the type section of the article and include in the cover letter a special issue of “advances in Cardiac Imaging artificial intelligence.” Each paper will be reviewed by at least two independent reviewers.
重要时间：
提交受邀和征集的稿件：2019年7月30日
提交截止日期：2020年1月30日
接受/拒绝通知：2020年3月1日
特刊出版：2020年
Important time:
Submission for invitation and solicitation: July 30, 2019
Submission deadline: January 30, 2020
Acceptance/rejection notice: March 1, 2020
Special issue: 2020
特刊编辑：
David Firmin教授
英国伦敦帝国理工学院国家心肺研究所
电子信箱：[email protected]
Special editor:
Professor David Firmin
National heart and lung institute, imperial college London
Email: [email protected]
李硕教授
加拿大西部大学医学影像系
电子邮件：[email protected]
Professor Li shuo
Department of medical imaging, western university of Canada
Email: [email protected]
张贺晔教授
中山大学生物医学工程学院
电子邮件：[email protected]
Professor zhang heye
School of biomedical engineering, sun yat-sen university
Email: [email protected]
杨光博士
皇家布朗普顿医院，英国伦敦帝国理工学院
电子邮件：[email protected]
Dr Yang guang
Royal brompton hospital, imperial college London, UK
Email: [email protected]
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