A5075835655- Cardiac Imaging and Diagnostics
- Advanced MRI Techniques and Applications
- Advanced X-ray and CT Imaging
- Cardiovascular Function and Risk Factors
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- Medical Imaging Techniques and Applications
- Coronary Interventions and Diagnostics
- Cardiac Valve Diseases and Treatments
- Viral Infections and Immunology Research
- Cardiac Structural Anomalies and Repair
- Kidney Stones and Urolithiasis Treatments
- Cardiomyopathy and Myosin Studies
- Transplantation: Methods and Outcomes
- Ultrasound and Hyperthermia Applications
- Pancreatic and Hepatic Oncology Research
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Pancreatitis Pathology and Treatment
- Myasthenia Gravis and Thymoma
- IoT and Edge/Fog Computing
- Usability and User Interface Design
- Bone and Joint Diseases
- Aortic Disease and Treatment Approaches
- Takotsubo Cardiomyopathy and Associated Phenomena
University of Zurich
2017-2022
University Hospital of Zurich
2013-2022
Society of Interventional Radiology
2019-2022
ETH Zurich
2008-2020
Institute for Biomedical Engineering
2010-2020
Siemens Healthcare (Germany)
2017-2020
Cardiovascular Research Center
2019
Università Campus Bio-Medico
2019
University Hospital Cologne
2015-2016
University of Cologne
2016
Cardiovascular magnetic resonance (CMR) allows non-invasive phase contrast measurements of flow through planes transecting large vessels. However, some clinically valuable applications are highly sensitive to errors caused by small offsets measured velocities if these not adequately corrected, for example the use static tissue or phantom correction offset error. We studied severity uncorrected velocity across sites and CMR systems. In a multi-centre, multi-vendor study, breath-hold...
Objectives The aim of this study was to test whether texture analysis and machine learning enable the detection myocardial infarction (MI) on non–contrast-enhanced low radiation dose cardiac computed tomography (CCT) images. Materials Methods In institutional review board–approved retrospective study, we included electrocardiography-gated CCT image data (effective dose, 0.5 mSv) acquired for purpose calcium scoring 27 patients with acute MI (9 female patients; mean age, 60 ± 12 years), 30...
The aim of this study was to investigate computed tomography (CT) imaging characteristics coronary stents using a novel photon-counting detector (PCD) in comparison with conventional energy-integrating (EID).In vitro study, 18 different were expanded plastic tubes 3 mm diameter, filled contrast agent (diluted an attenuation 250 Hounsfield units [HU] at 120 kVp), and sealed. Stents placed oil-filled custom phantom calibrated -100 HU kVp for resembling pericardial fat. positioned the gantry 2...
The aim of this study was to determine the potential photon-counting detector computed tomography (PCD-CT) for radiation dose reduction compared with conventional energy-integrated CT (EID-CT) in assessment interstitial lung disease (ILD) systemic sclerosis (SSc) patients.In retrospective study, SSc patients receiving a follow-up noncontrast chest examination on PCD-CT were included between May 2021 and December 2021. Baseline scans generated dual-source EID-CT by selecting tube current-time...
Introduction Phase contrast MRI allows for the examination of complex hemodynamics in heart and adjacent great vessels. Vortex flow patterns seem to play an important role certain vascular pathologies. We propose two- three-dimensional metrics objective quantification aortic vortex blood 4D phase MRI. Materials Methods For two-dimensional vorticity assessment, a standardized set 6 regions-of-interest (ROIs) was defined throughout course aorta. each ROI, heatmap time-resolved values ω→=∇v→...
The aims of this study were to assess the value a dedicated sharp convolution kernel for photon counting detector (PCD) computed tomography (CT) coronary stent imaging and evaluate which extent iterative reconstructions can compensate potential increases in image noise.For vitro study, phantom simulating artery stenting was prepared. Eighteen different stents expanded plastic tubes 3 mm diameter. Tubes filled with diluted contrast agent, sealed, immersed oil calibrated an attenuation -100 HU...
We sought to determine the predictive value of 3-dimensional texture analysis computerized tomography images for successful shock wave lithotripsy in patients with kidney stones.Patients preoperative and postoperative tomography, previously untreated stones a stone diameter 5 20 mm were included study. A total 224, features each stone, including attenuation measured HU clinical variables body mass index, initial size skin distance, analyzed using commonly used machine learning models. The...
To evaluate whether radiomics features of late gadolinium enhancement (LGE) regions at cardiac MRI enable distinction between myocardial infarction (MI) and myocarditis to compare with subjective visual analyses by readers different experience levels.In this retrospective, institutional review board-approved study, consecutive examinations 111 patients MI 62 showing LGE were included. By using open-source software, classification performances attained from two-dimensional (2D)...
Objective The aim of this study was to compare bone imaging between ultrashort echo-time (UTE) magnetic resonance (MR) and cone-beam computed tomography (CBCT) as the reference standard in patients with medication-related osteonecrosis jaw (MRONJ). Materials Methods A 1-year retrospective, blinded, randomized qualitative analysis UTE MR images CBCT from 19 clinically diagnosed MRONJ performed by 2 independent radiologists. Medication-related hallmarks such osteolysis, periosteal thickening,...
To evaluate CT-derived radiomics for machine learning-based classification of thymic epithelial tumor (TET) stage (TNM classification), histology (WHO classification) and the presence myasthenia gravis (MG).Patients with histologically confirmed TET in years 2000-2018 were retrospectively included, excluding patients incompatible imaging or other tumors. CT scans reformatted uniformly, gray values normalized discretized. Tumors segmented manually; 15 re-segmented after 2 weeks by two...
Computed tomography (CT)-derived fractional flow reserve (FFRCT) enables the non-invasive functional assessment of coronary artery stenosis. We evaluated feasibility and potential clinical role FFRCT in patients presenting to emergency department with acute chest pain who underwent chest-pain CT (CPCT).For this retrospective IRB-approved study, we included 56 (median age: 62 years, 14 females) CPCT had at least a mild (≥25% diameter) was for presence plaque rupture vulnerable features....
Abstract Cardiac magnetic resonance (CMR) imaging has become an important technique for non-invasive diagnosis of takotsubo syndrome (TTS). The long-term prognostic value CMR in TTS not been fully elucidated yet. This study sought to evaluate the texture analysis (TA) based on images patients with using machine learning. In this multicenter (InterTAK Registry), we investigated data 58 (56 women, mean age 68 ± 12 years) TTS. was performed acute subacute phase (median time after symptom onset...
The objectives of this study were to analyze the spatial resolution different reconstruction kernels and acquisition protocols, including a prototypic high-resolution protocol in flat-panel (FP) multidetector (MD) computed tomography (CT), evaluate contrast artificial cartilage depiction quality vitro FPCT MDCT arthrography.An image-quality cone beam phantom was used compare standard (120 80 kV) binned (2 × 2) unbinned (1 1) protocols (5- 20-second runs each). With resulting kernel best...
The aim of this study was to demonstrate the feasibility whole-body diffusion tensor imaging (DTI) as a promising tool for research applications, instance, investigation systemic muscle diseases.Twelve healthy volunteers (mean age, 26.6 years; range, 20-39 years) underwent magnetic resonance at 3 T using an echo planar sequence (b value, 400 s/mm) with 6 different spatial encoding directions. Coronal maps DTI parameters including mean diffusivity, fractional anisotropy, and eigenvalues...