DocumentCode :
2352495
Title :
Adaptive entropy coded DCT coding of magnetic resonance image sequences
Author :
Mohsenian, Nader ; Nosratinia, Aria ; Liu, Bede ; Orchard, Michael T.
Author_Institution :
Adv. Digital Video Lab., IBM Microelectron., Endicott, NY, USA
Volume :
4
fYear :
1994
fDate :
30 Oct-5 Nov 1994
Firstpage :
1542
Abstract :
Compression of magnetic resonance (MR) image sequences have proved to be difficult as compared to other medical imaging modalities. Some of the factors partially responsible for this are significant amount of noise and image artifacts which are present in a 3-D MR dataset. Another factor is use of unsuitable intensity matching techniques in removal of inter-slice dependencies. In this paper we introduce an adaptive DCT coding scheme that employs a triangle-based matching (TBM) algorithm to explore the inter-slice dependencies. The proposed scheme is used to encode a heart sequence. An improvement of 0.3 dB is achieved over adaptive intra-slice schemes at low bit-rates
Keywords :
adaptive codes; biomedical NMR; cardiology; discrete cosine transforms; entropy codes; image sequences; medical image processing; 3-D MR dataset; MRI sequence compression; adaptive entropy coded DCT coding; heart sequence; image artifacts; intensity matching techniques; inter-slice dependencies; low bit-rates; magnetic resonance image sequences; noise; triangle-based matching algorithm; Biomedical imaging; Discrete cosine transforms; Entropy; Image coding; Image sequences; Magnetic resonance; Magnetic resonance imaging; Medical diagnostic imaging; Microelectronics; Ultrasonic imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference, 1994., 1994 IEEE Conference Record
Conference_Location :
Norfolk, VA
Print_ISBN :
0-7803-2544-3
Type :
conf
DOI :
10.1109/NSSMIC.1994.474768
Filename :
474768
Link To Document :
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