Abstract
Visual representation of the interior body is a key element in medicine. There are many techniques for creating it; such as magnetic resonance imaging, computed tomography, and ultra-sound. The past few decades have witnessed an increasing number of new techniques being developed for practical clinical image display. Medical visualization brings profound changes to personal health programs and clinical healthcare delivery. It's seeks to reveal internal structures hidden by the skin and bones, as well as to diagnose and treat disease. This paper presents the recent intelligent techniques and algorithms used for medical data visualization. These techniques cover filtering, segmentation, classification and visualization. Additionally, this paper discusses state-of-the art toolkits and software supporting medical volume visualization. (C) 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under responsibility of Universal Society for Applied Research