21 May 1999 Physiologic classification of bovine ovarian follicles with wavelet packet texture analysis
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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 equals 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 gray-scale values in the wavelet transformed ROI images. The sensitivities S and specificities Sp varied between S equals 0.30 and Sp equals 1.00 and S equals 0.93, Sp equals 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.
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Ujwala Mannivannan, Ujwala Mannivannan, Gordon E. Sarty, Gordon E. Sarty, Heather Sirounis, Heather Sirounis, Jaswant Singh, Jaswant Singh, Gregg P. Adams, Gregg P. Adams, Roger A. Pierson, Roger A. Pierson, } "Physiologic classification of bovine ovarian follicles with wavelet packet texture analysis", Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348518; https://doi.org/10.1117/12.348518
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