MEDICAL IMAGE ANALYSIS

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.