Diagnostically lossless 3D wavelet compression for digital angiogram video

Author

Gibson, David ; Spann, Michael ; Woolley, Sandra I.

Author_Institution

Sch. of Electron. & Electr. Eng., Univ. of Birmingham, UK

fYear

2002

fDate

2002

Firstpage

454

Abstract

Summary form only given. A novel method for the compression of angiogram video sequences is presented. The approach consists of a 3D wavelet encoding algorithm, incorporating a region of interest (ROI) estimation model to provide higher-quality image reconstruction in areas considered to be diagnostically significant. This is coupled with a texture modelling procedure, which provides a model for some of the high frequency wavelet coefficients corresponding to diagnostically insignificant regions. This allows some of the wavelet coefficients to be represented extremely efficiently. The results are evaluated by trained cardiologists and show some promise.

Keywords

angiocardiography; data compression; image reconstruction; image sequences; image texture; medical image processing; transform coding; trees (mathematics); video coding; wavelet transforms; 3D wavelet compression; 3D wavelet encoding algorithm; SPIHT compression; diagnostically significant areas; digital angiogram video; image reconstruction; region of interest estimation; set partitioning in hierarchical trees; video sequences; Cardiology; Frequency; Heart; Image coding; Image reconstruction; Motion estimation; Pixel; Video compression; Video sequences; Wavelet coefficients;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Compression Conference, 2002. Proceedings. DCC 2002

ISSN

1068-0314

Print_ISBN

0-7695-1477-4

Type

conf

DOI

10.1109/DCC.2002.999997

Filename

999997