Although the Vision Transformer architecture has become widely accepted as the standard for image classification tasks, using it for object detection in computer vision poses significant challenges. This research aims to explore the potential of extending the Vision Transformer for object detection in medical imaging, specifically for glaucoma detection, and also includes an examination of the Detection Transformer for comparative analysis. The analysis involves assessing the cup-to-disc ratio and identifying signs of vertical thinning of the neuroretinal rim.
View Article and Find Full Text PDFBackground: Late enhancement (LE) imaging is increasingly used for diagnosis of non-ischemic cardiomyopathy. However, the mostly patchy appearance of LE in this context may reduce the reproducibility of LE measurement.
Purpose: To report intra- and inter-observer variabilities of LE measurements in Fabry disease using manual and semi-automated quantification.
Background: Diffusion-weighted MRI (DWI) is helpful for detection of brain abscess and pelvic abscess in adults. In the present study, we evaluated the diagnostic performance of DWI in children and young adults with abdominal and soft tissue abscess formations.
Methods: Seventeen patients (11 females, aged 13 ± 6 years) with suspected abdominal or soft-tissue abscess underwent routine MRI including free-breathing DWI and contrast-enhanced T1w imaging.
Purpose: According to echocardiography reports, Fabry cardiomyopathy not only affects the left ventricle (LV) but also the right ventricle (RV). Until now no MRI studies about the effect of enzyme replacement therapy (ERT) on the RV are available. We evaluated the effect of ERT on the RV.
View Article and Find Full Text PDFObject: To analyze the remodeling processes of the infarct territory in the time course of infarct healing.
Materials And Methods: Serial late enhancement (LE) studies were performed in 30 patients following reperfused myocardial infarction (MI) in the first and second week post-MI and after 3 months. To characterize infarct remodeling over time, the following variables were derived and analyzed in a blinded fashion: Infarct size (IS, in mm(3)), maximum infarct thickness (IT(max), mm), mean infarct thickness (IT(mean), mm) and the variability of infarct thickness (VIT=IT(max)/IT(mean)).