detection of congenital mullerian anomalies using real-time 3d sonography

Detection of Congenital Mullerian Anomalies Using Real-Time 3D Sonography

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 ...

detection 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).

Detection 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...

Real-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...

Real-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...