A5015800103- Bone and Joint Diseases
- Radiomics and Machine Learning in Medical Imaging
- Bone health and osteoporosis research
- Medical Imaging and Analysis
- Medical Imaging Techniques and Applications
- Spine and Intervertebral Disc Pathology
- Muscle Physiology and Disorders
- Advanced Neuroimaging Techniques and Applications
- Mitochondrial Function and Pathology
- Advanced X-ray and CT Imaging
- MRI in cancer diagnosis
- Genetic Neurodegenerative Diseases
- Advanced MRI Techniques and Applications
Klinikum rechts der Isar
2021-2022
Technical University of Munich
2021-2022
Osteoporosis is a highly prevalent skeletal disease that frequently entails vertebral fractures. Areal bone mineral density (BMD) derived from dual-energy X-ray absorptiometry (DXA) the reference standard, but has well-known limitations. Texture analysis can provide surrogate markers of tissue microstructure based on computed tomography (CT) or magnetic resonance imaging (MRI) data spine, thus potentially improving fracture risk estimation beyond areal BMD. However, it largely unknown...
(1) Background and Purpose: The skeletal muscles of patients suffering from neuromuscular diseases (NMD) are affected by atrophy, hypertrophy, fatty infiltration, edematous changes. Magnetic resonance imaging (MRI) is an important tool for diagnosis monitoring. Concerning T1-weighted or T2-weighted DIXON turbo spin echo (TSE) sequences enable a qualitative assessment muscle involvement. To achieve higher comparability, semi-quantitative grading scales, such as the four-point Mercuri scale,...
Abstract Magnetic resonance imaging (MRI) is widely utilized for diagnosing and monitoring of spinal disorders. For a number applications, particularly those related to quantitative MRI, an essential step towards achieving reliable objective measurements the segmentation examined structures. Performed manually, such process time-consuming prone errors, posing bottleneck its clinical applicability. A more efficient analysis would be achieved by automating process. However, routine spine MRI...
The main pathologies in the muscles of patients with neuromuscular diseases (NMD) are fatty infiltration and edema. Recently, quantitative magnetic resonance (MR) imaging for determination MR biomarkers proton density fat fraction (PDFF) water T2 (T2w ) has been advanced. Biophysical effects or pathology can have different on biomarkers. Thus, heterogeneously affected muscles, routinely performed mean median value analyses questionable. Our work presents a voxel-based histogram analysis PDFF...
In this study, the associations of cervical and lumbar paraspinal musculature based on a texture analysis proton density fat fraction (PDFF) maps were investigated to identify gender- anatomical location-specific structural patterns. Seventy-nine volunteers (25 men, 54 women) participated in present study (mean age ± standard deviation: men: 43.7 24.6 years; women: 37.1 14.0 years). Using manual segmentations PDFF maps, was performed features extracted. A significant difference mean between...
Osteoporosis is characterized by increased skeletal fragility with vertebral fractures (VFs). Areal bone mineral density (BMD) from dual-energy X-ray absorptiometry (DXA) the reference standard but has well-known limitations. Texture analysis (TA) can provide parameters of tissue microstructure using spine chemical shift encoding-based water-fat MRI (CSE-MRI) and computed tomography (CT), thus potentially improving fracture risk estimation. This study found that a model including volumetric...