Learn More
BACKGROUND During the last two decades, it has become obvious that 3,5-diiodothyronine (3,5-T2), a well-known endogenous metabolite of the thyroid hormones thyroxine (T4) or triiodothyronine (T3), not only represents a simple degradation intermediate of the former but also exhibits specific metabolic activities. Administration of 3,5-T2 to hypothyroid(More)
Variation in body fat distribution contributes to the metabolic sequelae of obesity. The genetic determinants of body fat distribution are poorly understood. The goal of this study was to gain new insights into the underlying genetics of body fat distribution by conducting sample-size-weighted fixed-effects genome-wide association meta-analyses in up to(More)
To investigate effects of menopausal status, oral contraceptives (OC), and postmenopausal hormone therapy (HT) on normal breast parenchymal contrast enhancement (CE) and non-mass-like enhancing areas in magnetic resonance mammography (MRM). A total of 459 female volunteers (mean age 49.1 ± 12.5 years) underwent T1-weighted 3D MRM 1–5 min after bolus(More)
To investigate multi-echo chemical shift-encoded MRI-based mapping of proton density fat fraction (PDFF) and fat-corrected R2* in bone marrow as biomarkers for osteoporosis assessment. Fifty-one patients (28 female; mean age 69.7 ± 9.0 years) underwent dual energy X-ray absorptiometry (DXA). On the basis of the t score, 173 valid vertebrae bodies were(More)
Obesity is often considered to have a protective effect against osteoporosis. On the other hand, several recent studies suggest that adipose tissue may have detrimental effects on bone quality. We therefore aimed to investigate the associations between body mass index (BMI), waist circumference (WC), visceral adipose tissue (VAT) or abdominal subcutaneous(More)
Fully automatic 3-D segmentation techniques for clinical applications or epidemiological studies have proven to be a very challenging task in the domain of medical image analysis. 3-D organ segmentation on magnetic resonance (MR) datasets requires a well-designed segmentation strategy due to imaging artifacts, partial volume effects, and similar tissue(More)
In modern epidemiological population-based studies a huge amount of magnetic resonance imaging (MRI) data is analysed. This requires reliable automatic methods for organ extraction. In the current paper, we propose a fast and accurate automatic method for lung segmentation and volumetry. Our approach follows a "coarse-to-fine" segmentation strategy. First,(More)
Vagal nerve stimulation is a promising method for the treatment of pain. The aim was to investigate the effect of non-invasive transcutaneous vagal nerve stimulation (TVNS) on the experimental pain threshold (PT) and to compare it with placebo. PT of standardized electrical stimulation was measured in 22 healthy male volunteers during two study sessions.(More)
Breast density is a risk factor associated with the development of breast cancer. Usually, breast density is assessed on two dimensional (2D) mammograms using the American College of Radiology (ACR) classification. Magnetic resonance imaging (MRI) is a non-radiation based examination method, which offers a three dimensional (3D) alternative to classical 2D(More)
A high amount of magnetic resonance imaging (MRI) data is processed in modern epidemiological studies. Reliable and fast automatic segmentation algorithms are required to assist in data analysis. In our project, tracheal dimensions in living patients are studied. We present a fully automated segmentation method for trachea extraction based on intensity(More)