由愛思唯爾科學出版。ISSN: 1361 - 8415。醫(yī)學圖像分析為傳播醫(yī)學圖像分析領(lǐng)域的新研究成果提供了一個論壇，特別強調(diào)與將計算機視覺、虛擬現(xiàn)實和機器人技術(shù)應用于醫(yī)學圖像問題有關(guān)的努力。它是一份季刊，發(fā)表最高質(zhì)量的原創(chuàng)論文，為處理、分析和利用醫(yī)學圖像的基礎(chǔ)科學做出貢獻。雖然不限于這些，典型的醫(yī)學圖像數(shù)據(jù)集的興趣包括那些從磁共振成像和超聲波，計算機斷層掃描，核醫(yī)學，x射線，視頻和范圍數(shù)據(jù)圖像的病人獲得。電子附件，如視頻剪輯和其他作者提供的材料，可在雜志的網(wǎng)頁上，并使讀者的互動。被接受的論文類型包括:基于應用數(shù)學和物理解決下列問題的算法和策略的開發(fā)和實現(xiàn)，使用醫(yī)學圖像數(shù)據(jù)集:特征提取、分割、inter-study interpatient登記,圖像引導手術(shù)和介入,紋理,形狀和運動測量、頻譜分析、數(shù)字解剖地圖冊,表示的圖像數(shù)據(jù),可視化,虛擬器官的模擬和訓練,虛擬和現(xiàn)實增強治療計劃和指導,醫(yī)學與醫(yī)學圖像遠程醫(yī)療、遠程監(jiān)控遠程手術(shù)和計算機輔助醫(yī)療機器人。學術(shù)和工業(yè)研究領(lǐng)域的醫(yī)學圖像分析,研究人員一般計算機視覺、圖形和機器人感興趣的社區(qū)問題,涉及到醫(yī)學和生物醫(yī)學圖像,和那些參與臨床和生物醫(yī)學科學的其他領(lǐng)域,利用數(shù)據(jù)會發(fā)現(xiàn)醫(yī)學圖像分析的總理發(fā)表重要成果。

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.