International Journal of Imaging Systems and Technology

期刊简介：The International Journal of Imaging Systems and Technology (IMA) is a forum for the exchange of ideas and results relevant to imaging systems, including imaging physics and informatics. The journal covers all imaging modalities in humans and animals.IMA accepts technically sound and scientifically rigorous research in the interdisciplinary field of imaging, including relevant algorithmic research and hardware and software development, and their applications relevant to medical research. The journal provides a platform to publish original research in structural and functional imaging.The journal is also open to imaging studies of the human body and on animals that describe novel diagnostic imaging and analyses methods. Technical, theoretical, and clinical research in both normal and clinical populations is encouraged. Submissions describing methods, software, databases, replication studies as well as negative results are also considered.The scope of the journal includes, but is not limited to, the following in the context of biomedical research:Imaging and neuro-imaging modalities: structural MRI, functional MRI, PET, SPECT, CT, ultrasound, EEG, MEG, NIRS etc.;Neuromodulation and brain stimulation techniques such as TMS and tDCS;Software and hardware for imaging, especially related to human and animal health;Image segmentation in normal and clinical populations;Pattern analysis and classification using machine learning techniques;Computational modeling and analysis;Brain connectivity and connectomics;Systems-level characterization of brain function;Neural networks and neurorobotics;Computer vision, based on human/animal physiology;Brain-computer interface (BCI) technology;Big data, databasing and data mining.

【译文】《国际成像系统与技术杂志》（IMA）是一个交流与成像系统相关的想法和成果的平台，包括成像物理学和信息学。该杂志涵盖了人类和动物的所有成像方式。IMA接受在成像领域的跨学科研究中技术可靠和科学严谨的研究，包括相关的算法研究、硬件和软件开发及其在医学研究中的应用。该杂志提供了一个发表结构成像和功能成像原创研究的平台。该杂志也欢迎描述人体和动物的新型诊断成像和分析方法的成像研究。鼓励对正常人群和临床人群的技术、理论和临床研究。描述方法、软件、数据库、复制研究和负面结果也予以考虑。该杂志的范围包括但不限于以下在生物医学研究中的应用：成像和神经成像方式：结构MRI、功能MRI、PET、SPECT、CT、超声、EEG、MEG、NIRS等；神经调节和脑刺激技术，如TMS和tDCS；成像的软件和硬件，尤其是与人类和动物健康相关；正常人群和临床人群中的图像分割；使用机器学习技术的模式分析和分类；计算建模和分析；脑连接和连接组学；脑功能系统级表征；神经网络和神经机器人；基于人类/动物生理的计算机视觉；脑-机接口（BCI）技术；大数据、数据库和数据挖掘。