Automatic segmentation of puborectalis muscle on three‐dimensional transperineal ultrasound
نویسندگان
چکیده
منابع مشابه
Automatic Segmentation of Ultrasound Tomography Image
Ultrasound tomography (UST) image segmentation is fundamental in breast density estimation, medicine response analysis, and anatomical change quantification. Existing methods are time consuming and require massive manual interaction. To address these issues, an automatic algorithm based on GrabCut (AUGC) is proposed in this paper. The presented method designs automated GrabCut initialization fo...
متن کاملAutomatic segmentation of the fetal cerebellum on 3D ultrasound
In this study we present the development of a 3D statistical shape model (Point Distribution Model PDM), for automatic segmentation, of the fetal cerebellum based on 3D US. This model is adjusted to a fetal 3D ultrasound, using an optimization algorithm which optimizes a model fitting function. A mean Dice Similarity Coefficient of 0.78 was obtained between manual annotations and automatic segm...
متن کاملIs the Puborectalis Muscle Part of the Levator Ani Muscle?
1 on the anatomy of the levator ani, and especially the puborectalis muscle by use of MRI and CT. The authors state that the levator ani has a transverse portion and a vertical portion and that the puborectalis muscle is a u-shaped muscle outside the vertical portion. Based on those findings, the authors conclude that the puborectalis is not a part of the levator ani muscle. The concept that th...
متن کاملImpact of episiotomy on the urogenital hiatus using transperineal ultrasound.
AIMS To analyze whether episiotomy affects the urogenital hiatal area and the difference in the hiatus at rest and during contraction, as an indirect measurement of the contractile capacity of the levator ani muscle. METHODS We performed an observational, comparative, retrospective study of primiparous women who had normal vaginal deliveries. The urogenital hiatal area was compared in women w...
متن کاملAutomatic Breast Ultrasound Image Segmentation: A Survey
Breast cancer is one of the leading causes of cancer death among women worldwide. In clinical routine, automatic breast ultrasound (BUS) image segmentation is very challenging and essential for cancer diagnosis and treatment planning. Many BUS segmentation approaches have been studied in the last two decades, and have been proved to be effective on private datasets. Currently, the advancement o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Ultrasound in Obstetrics & Gynecology
سال: 2018
ISSN: 0960-7692,1469-0705
DOI: 10.1002/uog.18927