Paper Info
Title
Physiologic classification of bovine ovarian follicles with wavelet packet texture analysis
Abstract
The purpose of the study was to develop a computer tool that can distinguish between atretic (non-ovulatory) and viable (ovulatory) bovine ovarian follicles on the basis of ultrasonographic image texture. Ovarian follicles of heifers (n = 14) were removed at four physiologically important time points during the estrous cycle. Regions of interest (ROI) in the center of the follicular antrum of the largest follicle in in vitro images were selected manually. The follicles were classified as viable or atretic on the basis of texture quantified with two metrics: standard deviation (D) and energy (E) of grey-scale values in the wavelet transformed ROI images. The sensitivities S and specificities S-p varied between S = 0.30 and S-p = 1.00 and S = 0.93, S-p = 0.67 when a minimum distance classifier was used. The computer algorithm was able to distinguish between atretic and viable ovarian follicles based ultrasonographic textures of follicular fluid that were not discernible to the human eye. The ROC analysis demonstrated that the texture classification of follicular fluid may be developed into a clinically useful diagnostic tool. It is anticipated that the computer tool will allow diagnostic assessment of reproductive competence of ovarian follicles in women.
Year
DOI
Venue
1999
10.1117/12.348518
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
ultrasonography,ovary,follicle,wavelets,texture analysis,ROC
Follicular antrum,Follicular fluid,Ovarian follicle,Biology,Pattern recognition,Follicle,Image texture,Ovary,Artificial intelligence,Estrous cycle,Wavelet packet decomposition,Cartography
Conference
Volume
ISSN
Citations 
3661
0277-786X
1
PageRank 
References 
Authors
0.36
0
6
Name
Order
Citations
PageRank
ujwala mannivannan110.36
Gordon E. Sarty241.70
heather sirounis310.36
Jaswant Singh441.93
g p adams510.36
r a pierson630.98