Motion-compensated prediction based algorithm for medical image sequence compression

✍ Scribed by Seyfullah H. Oǧuz; Ömer N. Gerek; A.Enis Çetin

• Publisher: Elsevier Science
• Year: 1995
• Tongue: English
• Weight: 436 KB
• Volume: 7
• Category: Article
• ISSN: 0923-5965
• DOI: 10.1016/0923-5965(95)00027-t

✦ Synopsis

A method for irreversible compression of medical image sequences is described. The method relies on discrete cosine transform and motion-compensated prediction to reduce intra-and inter-frame redundancies in medical image sequences. Simulation examples are presented. 1. Introduction Digital medical images are produced by a number of medical imaging devices including computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, digital radiography, and radiographic film digitizers. Due to the large amount of data per image there is a storage problem in medical Picture Archiving and Communication Systems (PACS) [S, 123. Image compression is an efficient way of handling this problem [S, 12,2,4,7,9,13]. Reversible (lossless) image compression techniques usually achieve a degree of compression in the order of 3 : 1, whereas irreversible (lossy) techniques may achieve compression ratios in the order of *This work is supported by TUBITAK -Scientific and Technical Research Council of Turkey, and it was presented in the