Search results for "Ultrasound image"
showing 4 items of 4 documents
The size of juxtaluminal hypoechoic area in ultrasound images of asymptomatic carotid plaques predicts the occurrence of stroke
2013
Abstract OBJECTIVE: To test the hypothesis that the size of a juxtaluminal black (hypoechoic) area (JBA) in ultrasound images of asymptomatic carotid artery plaques predicts future ipsilateral ischemic stroke. METHODS: A JBA was defined as an area of pixels with a grayscale value 10 mm(2) (P 8 mm(2)) was still significant after adjusting for other plaque features known to be associated with increased risk, including stenosis, grayscale median, presence of discrete white areas without acoustic shadowing indicating neovascularization, plaque area, and history of contralateral TIA or stroke. Plaque area and grayscale median were not significant. Using the significant variables (stenosis, discr…
Robust Resolution-Enhanced Prostate Segmentation in Magnetic Resonance and Ultrasound Images through Convolutional Neural Networks
2021
[EN] Prostate segmentations are required for an ever-increasing number of medical applications, such as image-based lesion detection, fusion-guided biopsy and focal therapies. However, obtaining accurate segmentations is laborious, requires expertise and, even then, the inter-observer variability remains high. In this paper, a robust, accurate and generalizable model for Magnetic Resonance (MR) and three-dimensional (3D) Ultrasound (US) prostate image segmentation is proposed. It uses a densenet-resnet-based Convolutional Neural Network (CNN) combined with techniques such as deep supervision, checkpoint ensembling and Neural Resolution Enhancement. The MR prostate segmentation model was tra…
Interobserver study of countouringbased on ultrasound image in real-time interactive prostate brachytherapy
2009
Endometrial receptivity: evaluation with ultrasound.
2013
An adequate endometrial receptivity is a crucial factor for embryo implantation. We describe endometrial morphology (endometrial appearance or pattern, endometrial thickness, volume, and delimitation), based on the concepts and possibilities of the new ultrasound modalities (3-dimensional/4-dimensional ultrasound, automatic volume calculation, virtual organ computer-aided analysis, tomographic ultrasound image, inverse mode, and 3-dimensional Doppler angiography) as markers of endometrial receptivity.