MEDICAL IMAGE ANALYSIS SCISCIE

中文简介

由爱思唯尔科学出版。ISSN: 1361 - 8415。医学图像分析为传播医学图像分析领域的新研究成果提供了一个论坛，特别强调与将计算机视觉、虚拟现实和机器人技术应用于医学图像问题有关的努力。它是一份季刊，发表最高质量的原创论文，为处理、分析和利用医学图像的基础科学做出贡献。虽然不限于这些，典型的医学图像数据集的兴趣包括那些从磁共振成像和超声波，计算机断层扫描，核医学，x射线，视频和范围数据图像的病人获得。电子附件，如视频剪辑和其他作者提供的材料，可在杂志的网页上，并使读者的互动。被接受的论文类型包括:基于应用数学和物理解决下列问题的算法和策略的开发和实现，使用医学图像数据集:特征提取、分割、inter-study interpatient登记,图像引导手术和介入,纹理,形状和运动测量、频谱分析、数字解剖地图册,表示的图像数据,可视化,虚拟器官的模拟和训练,虚拟和现实增强治疗计划和指导,医学与医学图像远程医疗、远程监控远程手术和计算机辅助医疗机器人。学术和工业研究领域的医学图像分析,研究人员一般计算机视觉、图形和机器人感兴趣的社区问题,涉及到医学和生物医学图像,和那些参与临床和生物医学科学的其他领域,利用数据会发现医学图像分析的总理发表重要成果。

投稿网址：http://ees.elsevier.com/media/

英文简介

Published by Elsevier Science. ISSN: 1361-8415.Medical Image Analysis provides a forum for the dissemination of new research results in the field of Medical Image Analysis, with special emphasis on efforts related to the application of Computer Vision, Virtual Reality and Robotics to medical imaging problems. A quarterly journal, it publishes the highest quality, original papers that contribute to the basic science of processing, analysing and utilizing medical images for these purposes. While not limited to these alone, the typical medical image datasets of interest include those acquired from Magnetic Resonance Imaging and Ultrasound, Computed Tomography, Nuclear Medicine, X-ray, video and range data images of the patient. Electronic annexes like video clips and other material supplied by authors are available on the journal's webpage and enable the interaction of readers. The types of papers accepted include those that cover the development and implementation of algorithms and strategies based on the use of applied mathematics and physics to solve the following types of problems, using medical image datasets: feature extraction, segmentation, inter-study and interpatient registration, image-guided surgery and intervention, texture, shape and motion measurements, spectral analysis, digital anatomical atlases, representation of pictorial data, visualization, virtual organs for simulation and training, virtual and augmented reality for therapy planning and guidance, telemedicine with medical images, telepresence in medicine telesurgery and image-guided medical robots. Academic and industrial researchers in the area of Medical Image Analysis, researchers in the general Computational Vision, Graphics and Robotics communities interested in problems that involve medical and biomedical images, and those involved in other areas of clinical and biomedical science that utilize data will find Medical Image Analysis the premier publication for important results in the field.