Title :
Subband coding of 3D MRI images using octtrees
Author :
Jang, Euee S. ; Venkatraman, Mahesh
Author_Institution :
Dept. of Electr. & Comput. Eng., State Univ. of New York, Buffalo, NY, USA
Abstract :
Discusses a method of compression of 3-D MRI images. A subband coding scheme with an octave splitting is proposed. The higher frequency subbands are encoded using an octtree structure. Octtrees provide a convenient data structure to store the sparse information present in the higher frequency subbands. Each unit block of the octtree is coded using a hybrid vector and scalar quantization scheme. The baseband is encoded using a DPCM based method using a nonlinear neural network predictor. This scheme provides an elegant way of compression of MRI images with minimum error
Keywords :
biomedical NMR; differential pulse code modulation; image coding; medical image processing; neural nets; octrees; prediction theory; vector quantisation; 3D MRI images; DPCM based method; compression; data structure; higher frequency subbands; nonlinear neural network predictor; octave splitting; octtrees; scalar quantization; sparse information; subband coding; vector quantization; Baseband; Data structures; Decoding; Filter bank; Frequency; Image coding; Image reconstruction; Magnetic resonance imaging; Neural networks; Quantization; Signal synthesis; Tree data structures; Video compression;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.479917
