Detection of Congenital Mullerian Anomalies Using Real-Time 3D Sonography
نویسندگان
چکیده مقاله:
این مقاله چکیده ندارد
منابع مشابه
Detection of Congenital Mullerian Anomalies Using Real-Time 3D Sonography
A 35 year-old woman referred to Royan Institute (Reproductive Biomedicine Research Center) for infertility treatment. She had an eleven-year history of primary infertility with a normal abdominal ultrasound. Hysterosalpingography (HSG) was obtained one month prior to referral in another center (Fig A). The HSG finding of an apparent unicorn uterus followed by a normal vaginal ultrasound led us ...
متن کاملdetection of congenital mullerian anomalies by real-time 3d sonography
mullerian duct anomalies (mdas) are relatively common disorders that are particularly responsible for obstetrical complications and have a prevalence of about 3%-4% in the general population (1, 2). uterine malformations may result from arrested development of the mullerian ducts, failure of fusion of the mullerian ducts or failure of resorption of the median septum (1, 2).
متن کاملDetection of Congenital Mullerian Anomalies by Real-time 3D Sonography
ullerian duct anomalies (MDAs) are relatively common disorders that are particularly responsible for obstetrical complications and have a prevalence of about 3%−4% in the general population (1, 2). Uterine malformations may result from arrested development of the mullerian ducts, failure of fusion of the mullerian ducts or failure of resorption of the median septum (1, 2). Several classificatio...
متن کاملReal-time virtual sonography using MRI and ultrasound fusion imaging in the evaluation of CNS anomalies
Objective Over the last years prenatal ultrasound has experienced the benefits of high resolution probes and the use of transvaginal ultrasound to facilitate the difficult diagnosis of central nervous system anomalies. In addition fetal MRI has become a part of a complementary tool in establishing and fine tuning the diagnosis and prognosis. Both techniques deliver their maximal potential in th...
متن کاملReal-time damage detection of bridges using adaptive time-frequency analysis and ANN
Although traditional signal-based structural health monitoring algorithms have been successfully employed for small structures, their application for large and complex bridges has been challenging due to non-stationary signal characteristics with a high level of noise. In this paper, a promising damage detection algorithm is proposed by incorporation of adaptive signal processing and Artificial...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ذخیره در منابع من قبلا به منابع من ذحیره شده{@ msg_add @}
عنوان ژورنال
دوره 5 شماره 2
صفحات 119- 119
تاریخ انتشار 2011-09-01
با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023