Volume compression of MRI data using zerotrees of wavelet coefficients

Michael A. Pratt; Chee Hung H. Chu; Stephen T.C. Wong

doi:10.1117/12.255283

Volume compression of MRI data using zerotrees of wavelet coefficients

Michael A. Pratt, Chee Hung H. Chu, Stephen T.C. Wong

Research output: Contribution to journal › Conference article › peer-review

10 Scopus citations

Abstract

Volume data such as those acquired by magnetic resonance imaging techniques can be compressed efficiently using the wavelet transform. Wavelet compression methods need to retain both the value and the location of the significant coefficients. We present experimental results demonstrating the use of zerotree encoding methods in wavelet compression can enhance the ability to further compress volume data.

Original language	English (US)
Pages (from-to)	752-763
Number of pages	12
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	2825
DOIs	https://doi.org/10.1117/12.255283
State	Published - 1996
Event	Wavelet Applications in Signal and Image Processing IV - Denver, CO, United States Duration: Aug 6 1996 → Aug 6 1996

Keywords

data compression
magnetic resonance imaging
volume data
wavelets
zerotrees

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.255283

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title = "Volume compression of MRI data using zerotrees of wavelet coefficients",

abstract = "Volume data such as those acquired by magnetic resonance imaging techniques can be compressed efficiently using the wavelet transform. Wavelet compression methods need to retain both the value and the location of the significant coefficients. We present experimental results demonstrating the use of zerotree encoding methods in wavelet compression can enhance the ability to further compress volume data.",

keywords = "data compression, magnetic resonance imaging, volume data, wavelets, zerotrees",

author = "Pratt, {Michael A.} and Chu, {Chee Hung H.} and Wong, {Stephen T.C.}",

year = "1996",

doi = "10.1117/12.255283",

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journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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note = "Wavelet Applications in Signal and Image Processing IV ; Conference date: 06-08-1996 Through 06-08-1996",

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TY - JOUR

T1 - Volume compression of MRI data using zerotrees of wavelet coefficients

AU - Pratt, Michael A.

AU - Chu, Chee Hung H.

AU - Wong, Stephen T.C.

PY - 1996

Y1 - 1996

N2 - Volume data such as those acquired by magnetic resonance imaging techniques can be compressed efficiently using the wavelet transform. Wavelet compression methods need to retain both the value and the location of the significant coefficients. We present experimental results demonstrating the use of zerotree encoding methods in wavelet compression can enhance the ability to further compress volume data.

AB - Volume data such as those acquired by magnetic resonance imaging techniques can be compressed efficiently using the wavelet transform. Wavelet compression methods need to retain both the value and the location of the significant coefficients. We present experimental results demonstrating the use of zerotree encoding methods in wavelet compression can enhance the ability to further compress volume data.

KW - data compression

KW - magnetic resonance imaging

KW - volume data

KW - wavelets

KW - zerotrees

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U2 - 10.1117/12.255283

DO - 10.1117/12.255283

M3 - Conference article

AN - SCOPUS:78751624418

SN - 0277-786X

VL - 2825

SP - 752

EP - 763

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Wavelet Applications in Signal and Image Processing IV

Y2 - 6 August 1996 through 6 August 1996

ER -

Volume compression of MRI data using zerotrees of wavelet coefficients

Abstract

Keywords

ASJC Scopus subject areas

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