Objectives: It is important to recognize and diagnose various forms of ovulatory failure that contribute to infertility. Polycystic Ovary Syndrome (PCOS) is one such failure characterized by the formation of numerous follicles in the ovary. This disorder seriously affects women's health and it is diagnosed by ultrasound imaging which gives important information on the number of follicles and their size. Materials & Methods: These follicles are fluid filled structures that exhibit echo texture. Texture features of the follicle wall for both normal and PCOS dominant follicles are evaluated over a period of seven days before ovulation. Results: By considering these features, follicle growth rate is investigated in normal and PCOS.Conclusion: The results supported the hypothesis that quantitative changes in echo texture are reflecting the changes in the physiologic status of the normal ovary.
Stein IF, Leventhal ML. Amenorrhea associated with bilateral polycystic ovaries. American Journal of Obstetrics and Gynecology. 1935; 29(2):181â91. doi: 10.1016/s0002-9378(15)30642-6
Ehrmann DA. Polycystic ovary syndrome. New England Journal of Medicine. 2005; 352(12):1223â36. doi: 10.1056/nejmra041536
Jonard S. The follicular excess in polycystic ovaries, due to intra-ovarian hyperandrogenism, may be the main culprit for the follicular arrest. Human Reproduction Update. 2004; 10(2):107â17. doi: 10.1093/humupd/dmh010
Salonen JT, Salonen R. Ultrasound B-mode imaging in observational studies of atherosclerotic progression. Circulation. 1993; 87(3):56-65. PMID: 8443925
Krivanek A, Sonka M. Ovarian ultrasound image analysis: Follicle segmentation. IEEE Transactions on Medical Imaging. 1998; 17(6):935â44. doi: 10.1109/42.746626
Sarty GE, Liang W, Sonka M, Pierson RA. Semiautomated segmentation of ovarian follicular ultrasound images using a knowledge-based algorithm. Ultrasound in Medicine & Biology. 1998; 24(1):27â42. doi: 10.1016/s0301-5629(97)00213-5
Jain JK, Ota F, Mishell DR. Comparison of ovarian follicular activity during treatment with a monthly injectable contraceptive and a low-dose oral contraceptive. Contraception. 2000; 61(3):195â8. doi: 10.1016/s0010-7824(00)00098-6
Kim ND, Amin V, Wilson D, Rouse G, Udpa S. Ultrasound image texture analysis for characterizing intramuscular fat content of live beef cattle. Ultrasonic Imaging. 1998; 20(3):191â205. doi: 10.1177/016173469802000304
Raeth U, Schlaps D, Limberg B, Zuna I, Lorenz A, Van Kaick G, et al. Diagnostic accuracy of computerized B-scan texture analysis and conventional ultrasonography in diffuse parenchymal and malignant liver disease. Journal of Clinical Ultrasound. 1985; 13(2):87â99. doi: 10.1002/jcu.1870130203
Barr LL, McCullough PJ, Ball WS JR, Krasner BH, Garra BS, Deddens JA. Quantitative sonographic feature analysis of clinical infant hypoxia: A pilot study. American Journal of Neuroradiology. 1995; 17(6):1025-31. PMID: 8791910
Kumar, HP, Srinivasan S. Despeckling of polycystic ovary ultrasound images by improved total variation method. International Journal of Engineering and Technology. 2014; 6(4):1877-1884.
Kumar PH, Srinivasan S. Fast automatic segmentation of polycystic ovary in ultrasound images using improved chan-vase with split-bregman optimiza-tion. Journal of Medical Imaging and Health Informatics. American Scientific Publishers. 2015; 5(1):57â62. doi: 10.1166/jmihi.2015.1355
Prasanna Kumar, H., Srinivasan, S., & Byrareddy, M. (2017). Analysis of Follicle Wall of Normal and Polycystic Ovaries. Journal of Advanced Medical Sciences and Applied Technologies, 3(2), 69-76. doi: 10.18869/nrip.jamsat.3.2.69
MLA
Hombalaiah Prasanna Kumar; Subramanian Srinivasan; Manjunath Byrareddy. "Analysis of Follicle Wall of Normal and Polycystic Ovaries", Journal of Advanced Medical Sciences and Applied Technologies, 3, 2, 2017, 69-76. doi: 10.18869/nrip.jamsat.3.2.69
HARVARD
Prasanna Kumar, H., Srinivasan, S., Byrareddy, M. (2017). 'Analysis of Follicle Wall of Normal and Polycystic Ovaries', Journal of Advanced Medical Sciences and Applied Technologies, 3(2), pp. 69-76. doi: 10.18869/nrip.jamsat.3.2.69
VANCOUVER
Prasanna Kumar, H., Srinivasan, S., Byrareddy, M. Analysis of Follicle Wall of Normal and Polycystic Ovaries. Journal of Advanced Medical Sciences and Applied Technologies, 2017; 3(2): 69-76. doi: 10.18869/nrip.jamsat.3.2.69