20 Result(s)
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Article
Open AccessVisual and quantitative assessment of hip implant-related metal artifacts at low field MRI: a phantom study comparing a 0.55-T system with 1.5-T and 3-T systems
To investigate hip implant-related metal artifacts on a 0.55-T system compared with 1.5-T and 3-T systems.
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Open AccessMetal implants on abdominal CT: does split-filter dual-energy CT provide additional value over iterative metal artifact reduction?
To assess image quality and metal artifact reduction in split-filter dual-energy CT (sfDECT) of the abdomen with hip or spinal implants using virtual monoenergetic images (VMI) and iterative metal artifact red...
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Article
Open AccessAtri-U: assisted image analysis in routine cardiovascular magnetic resonance volumetry of the left atrium
Artificial intelligence can assist in cardiac image interpretation. Here, we achieved a substantial reduction in time required to read a cardiovascular magnetic resonance (CMR) study to estimate left atrial vo...
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Article
Open AccessAI-based detection and classification of distal radius fractures using low-effort data labeling: evaluation of applicability and effect of training set size
To evaluate the performance of a deep convolutional neural network (DCNN) in detecting and classifying distal radius fractures, metal, and cast on radiographs using labels based on radiology reports. The secon...
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Open AccessIn vivo 3D tomography of the lumbar spine using a twin robotic X-ray system: quantitative and qualitative evaluation of the lumbar neural foramina in supine and upright position
Supine lumbar spine examinations underestimate body weight effects on neuroforaminal size. Therefore, our purpose was to evaluate size changes of the lumbar neuroforamina using supine and upright 3D tomography...
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Open AccessBuilding Large-Scale Quantitative Imaging Databases with Multi-Scale Deep Reinforcement Learning: Initial Experience with Whole-Body Organ Volumetric Analyses
To explore the feasibility of a fully automated workflow for whole-body volumetric analyses based on deep reinforcement learning (DRL) and to investigate the influence of contrast-phase (CP) and slice thicknes...
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Article
Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm
To evaluate the performance of an AI-powered algorithm for the automatic detection of pulmonary embolism (PE) on chest computed tomography pulmonary angiograms (CTPAs) on a large dataset.
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Comparison of 3D X-ray tomography with computed tomography in patients with distal extremity fractures
To compare fracture detection, image quality, and radiation dose in patients with distal extremity fractures using 3D tomography and computed tomography (CT).
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Article
Effective dose to patient measurements for flat-detector computed tomography protocols in acute stroke care
The aim was to measure the effective dose of flat-detector CT (FDCT) whole-brain imaging, biphasic FDCT angiography (FDCT-A), and FDCT perfusion (FDCT-P) protocols and compare it to previously reported effecti...
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Article
Quantitative enhancement thresholds and machine learning algorithms for the evaluation of renal lesions using single-phase split-filter dual-energy CT
To establish thresholds for contrast enhancement-based attenuation (CM) and iodine concentration (IOD) for the quantitative evaluation of enhancement in renal lesions on single-phase split-filter dual-energy C...
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Article
Comparison of image quality and radiation dose between split-filter dual-energy images and single-energy images in single-source abdominal CT
To compare image quality and radiation dose of abdominal split-filter dual-energy CT (SF-DECT) combined with monoenergetic imaging to single-energy CT (SECT) with automatic tube voltage selection (ATVS).
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Article
Erratum to: Impact of model-based iterative reconstruction on low-contrast lesion detection and image quality in abdominal CT: a 12-reader-based comparative phantom study with filtered back projection at different tube voltages
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Article
Impact of model-based iterative reconstruction on low-contrast lesion detection and image quality in abdominal CT: a 12-reader-based comparative phantom study with filtered back projection at different tube voltages
To evaluate the impact of model-based iterative reconstruction (MBIR) on image quality and low-contrast lesion detection compared with filtered back projection (FBP) in abdominal computed tomography (CT) of si...
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Article
Automatic tube current modulation for whole-body polytrauma CT with immobilization devices: is there an increase in radiation dose and degradation of image quality?
The objective of this study was the assessment of the image quality and radiation dose in polytrauma CT using immobilization devices. An anthropomorphic whole body and a liver phantom were scanned on a 128-sli...
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Article
IVIM DW-MRI of autoimmune pancreatitis: therapy monitoring and differentiation from pancreatic cancer
To evaluate IVIM DW-MRI for changes in IVIM-derived parameters during steroid treatment of autoimmune pancreatitis (AIP) and for the differentiation from pancreatic cancer (PC).
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Article
Quantification of changes in language-related brain areas in autism spectrum disorders using large-scale network analysis
Diagnosis of autism spectrum disorders (ASD) is difficult, as symptoms vary greatly and are difficult to quantify objectively. Recent work has focused on the assessment of non-invasive diffusion tensor imaging...
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Article
Characterization and therapy monitoring of head and neck carcinomas using diffusion-imaging-based intravoxel incoherent motion parameters—preliminary results
Using the intravoxel incoherent motion (IVIM) model, diffusion-related coefficient (D) and perfusion-related parameter (f) can be measured. Here, we used IVIM imaging to characterize squamous cell carcinomas of h...
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Article
Open AccessMultimodal hypoxia imaging and intensity modulated radiation therapy for unresectable non-small-cell lung cancer: the HIL trial
Radiotherapy, preferably combined with chemotherapy, is the treatment standard for locally advanced, unresectable non-small cell lung cancer (NSCLC). The tumor response to different therapy protocols is variab...
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Article
Automated MR morphometry to predict Alzheimer’s disease in mild cognitive impairment
Prediction of progression from mild cognitive impairment (MCI) to Alzheimer’s disease (AD) is challenging but essential for early treatment. This study aims to investigate the use of hippocampal atrophy marker...
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Article
How background noise shifts eigenvectors and increases eigenvalues in DTI
The signal-to-noise ratio of in vivo diffusion tensor imaging (DTI) is usually very limited, especially if high resolution data is acquired. In a variety of settings, the signal of diffusion weighted images ca...
