Title :
Analysis of spatio-temporal prediction methods in 4D volumetric medical image datasets
Author :
Martin, Uwe-Erik ; Kaup, André
Author_Institution :
Image & Knowledge Manage., Siemens AG, Erlangen
fDate :
June 23 2008-April 26 2008
Abstract :
Due to the huge amount of data and the increasing utilization of 4D medical image processing, compression of such data sets is essential. Unlike moving 3D objects in computer graphic applications, medical 4D datasets consist of a number of sampled volume elements, varying in time. Based on an analysis of H.264 compression for such data, this paper presents a spatio-temporal prediction scheme leveraging effective block-based prediction for 4D volumetric image data. Experimental results show that this new spatiotemporal approach achieves better prediction results than pure spatial or temporal schemes.
Keywords :
computer graphics; data compression; medical image processing; video coding; 4D medical image processing; 4D volumetric medical image datasets; H.264 compression; block-based prediction; computer graphic applications; sampled volume elements; spatiotemporal approach; spatiotemporal prediction methods; Biomedical imaging; Computed tomography; Image analysis; Image coding; Magnetic resonance imaging; Motion estimation; Positron emission tomography; Prediction methods; Spatiotemporal phenomena; Visualization; (4-D) medical image; Compression; H.264; Motion analysis; fourdimensional;
Conference_Titel :
Multimedia and Expo, 2008 IEEE International Conference on
Conference_Location :
Hannover
Print_ISBN :
978-1-4244-2570-9
Electronic_ISBN :
978-1-4244-2571-6
DOI :
10.1109/ICME.2008.4607487
