DocumentCode
1682172
Title
Fourier compression-reconstruction technique [MRI application]
Author
Binge, Gayle M. ; Micheli-Tzanakou, Evangelia
Author_Institution
Dept. of Biomed. Eng., Rutgers Univ., Piscataway, NJ, USA
fYear
1989
Firstpage
524
Abstract
A method of data compression and reconstruction, the Fourier compression-reconstruction technique, which uses a standard Fourier algorithm as a basis for decreasing the amount of data stored, is briefly described. Compression is achieved by passing data through Fourier analysis algorithms to develop the complex Fourier coefficient matrix. The data are then analyzed for maximum frequency components, which are stored along with actual row and column coordinates. When the image is to be reconstructed, the coefficient maxima are passed through an inverse Fourier algorithm. Standard algebraic iterative techniques are used to provide qualitatively better images. The technique decreases data storage by up to 99% while providing visually accurate reconstructed images and favorable error comparisons with the original image
Keywords
Fourier analysis; biomedical NMR; data compression; patient diagnosis; picture processing; Fourier algorithm; Fourier compression-reconstruction technique; algebraic iterative techniques; complex Fourier coefficient matrix; coordinates; data compression; image reconstruction; maximum frequency components; Algorithm design and analysis; Biomedical engineering; Data analysis; Frequency; Image reconstruction; Iterative algorithms; Magnetic resonance imaging; Memory; Neoplasms; Standards development;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location
Seattle, WA
Type
conf
DOI
10.1109/IEMBS.1989.95855
Filename
95855
Link To Document