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

Volume

4

fYear

1995

fDate

9-12 May 1995

Firstpage

2217

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.479917

Filename

479917