منابع مشابه
The Survey of Fetal Genitourinary Abnormalities
ABSTRACT Congenital genitourinary tract abnormalities occur in 0.1% to 1% of all neonates and are a major cause of perinatal mortality and morbidity. Nowadays, prenatal ultrasonography can detect most malformations and anomalies. In this study the genitourinary tract abnormalities of the Fetuses of the pregnant women by prenatal ultrasonography and causes of these abnormalities were evaluated...
متن کاملSuper-resolution Reconstruction of Fetal Brain MRI
Current fetal MRI practice involves fast 2D slice acquisitions. The reconstruction of volumetric fetal brain MRI from these acquisitions and its post-processing is greatly desired for studying in-utero brain development. The previously developed reconstruction techniques rely on iterations of slice-tovolume registration and scattered data interpolation. In contrast, the technique introduced her...
متن کاملBrain stem MRI signal abnormalities in CADASIL.
BACKGROUND We recently showed that the severity of MRI signal abnormalities increases with age in CADASIL, an arteriopathy due to mutations of notch 3 gene on chromosome 19. Previous results also suggest that the various hemispheric subcortical areas have a different vulnerability to ischemia in this disease. The distribution of the lesions at the brain stem level has not yet been reported. C...
متن کاملOn Super-Resolution for Fetal Brain MRI
Super-resolution techniques provide a route to studying fine scale anatomical detail using multiple lower resolution acquisitions. In particular, techniques that do not depend on regular sampling can be used in medical imaging situations where imaging time and resolution are limited by subject motion. We investigate in this work the use of a super-resolution technique for anisotropic fetal brai...
متن کاملKamaljeet Kaur Classification of Abnormalities in Brain MRI
243 Abstract: Accurate automatic detection and classification of images is very challenging task whether they are medical images or other natural images. This paper presents a hybrid technique for automatic classification of MRI images as well as natural images. The proposed method consists of two stages: feature extraction and classification. In first stage, features are extracted from image...
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ژورنال
عنوان ژورنال: Acta Radiologica Open
سال: 2019
ISSN: 2058-4601,2058-4601
DOI: 10.1177/2058460119894987