Sensor, Signal and Image Informatics
Sensor, Signal and Image Informatics
复制标题
传感器、信号和图像信息学
DOI：
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发表时间：
2006
影响因子：
--
通讯作者：
H. Witte
中科院分区：
文献类型：
--
作者：
T. Lehmann;T. Aach;H. Witte
摘要目的生物医学信号和图像采集与处理领域每年发表的文章数量不断增加。根据选定的例子，本调查旨在全面展示最近的趋势和发展。方法选择四篇生物医学数据采集的文章，包括CT的剂量节约，c臂x线成像系统的体积成像，以及谐波超声成像取代剂量密集的CT诊断。关于生物医学信号分析（BSA），这四篇文章讨论了不同时频方法用于信号分析的等效性，在耳蜗植入物中的应用，其中时频分析用于控制替代系统，不同模式融合的最新趋势，以及BSA作为脑机接口的一部分的作用。为了涵盖生物医学图像处理领域的广泛出版物，重点介绍了六篇论文。重要的课题包括医学应用中基于内容的图像检索、中医舌片的自动分类、单光子发射计算机断层扫描（SPECT）中的脑灌注分析、基于模型的血管树可视化和虚拟手术，其中增强的可视化和触觉反馈技术与器官的球体填充模型相结合。结果入选论文强调了构成生物医学数据处理链的五个领域：(1)数据采集，(2)数据重构与预处理，(3)数据处理，(4)数据分析，(5)数据可视化。字段1和字段2构成传感器信息学，而字段2至字段5就所考虑的数据的性质构成信号或图像信息学。结论生物医学数据采集和预处理、数据处理、分析和可视化旨在为决策支持提供可靠的工具，提高医疗质量。综合评估处理方法及其在日常应用中的可靠集成是未来传感器、信号和图像信息学领域的挑战。
Summary Objectives The number of articles published annually in the fields of biomedical signal and image acquisition and processing is increasing. Based on selected examples, this survey aims at comprehensively demonstrating the recent trends and developments. Methods Four articles are selected for biomedical data acquisition covering topics such as dose saving in CT, C-arm X-ray imaging systems for volume imaging, and the replacement of dose-intensive CTbased diagnostic with harmonic ultrasound imaging. Regarding biomedical signal analysis (BSA), the four selected articles discuss the equivalence of different time-frequency approaches for signal analysis, an application to Cochlea implants, where time-frequency analysis is applied for controlling the replacement system, recent trends for fusion of different modalities, and the role of BSA as part of a brain machine interfaces. To cover the broad spectrum of publications in the field of biomedical image processing, six papers are focused. Important topics are content-based image retrieval in medical applications, automatic classification of tongue photographs from traditional Chinese medicine, brain perfusion analysis in single photon emission computed tomography (SPECT), model-based visualization of vascular trees, and virtual surgery, where enhanced visualization and haptic feedback techniques are combined with a sphere-filled model of the organ. Results The selected papers emphasize the five fields forming the chain of biomedical data processing: (1) data acquisition, (2) data reconstruction and pre-processing, (3) data handling, (4) data analysis, and (5) data visualization. Fields 1 and 2 form the sensor informatics, while fields 2 to 5 form signal or image informatics with respect to the nature of the data considered. Conclusions Biomedical data acquisition and pre-processing, as well as data handling, analysis and visualization aims at providing reliable tools for decision support that improve the quality of health care. Comprehensive evaluation of the processing methods and their reliable integration in routine applications are future challenges in the field of sensor, signal and image informatics.
影响因子：
37.8
作者：
K. Wei;A. Jayaweera;S. Firoozan;A. Linka;D. Skyba;S. Kaul
通讯作者：
K. Wei;A. Jayaweera;S. Firoozan;A. Linka;D. Skyba;S. Kaul
影响因子：
3.8
作者：
Siewerdsen, JH;Moseley, DJ;Jaffray, DA
通讯作者：
Jaffray, DA