A5014013366- Acute Ischemic Stroke Management
- Cerebrovascular and Carotid Artery Diseases
- Advanced X-ray and CT Imaging
- Medical Image Segmentation Techniques
- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Intracranial Aneurysms: Treatment and Complications
- Venous Thromboembolism Diagnosis and Management
- Traumatic Brain Injury and Neurovascular Disturbances
- Retinal Imaging and Analysis
- Lung Cancer Diagnosis and Treatment
- Multiple Myeloma Research and Treatments
- Ultrasound in Clinical Applications
- Bone health and treatments
- Medical Imaging and Analysis
- Radiology practices and education
- Anatomy and Medical Technology
- Advanced MRI Techniques and Applications
- Tracheal and airway disorders
- Advanced Image and Video Retrieval Techniques
- Chronic Obstructive Pulmonary Disease (COPD) Research
- 3D Shape Modeling and Analysis
- Abdominal vascular conditions and treatments
- Cardiac Imaging and Diagnostics
- Brain Tumor Detection and Classification
Siemens Healthcare (Germany)
2015-2024
Siemens Healthcare (United States)
2018-2024
Siemens (Germany)
2002-2023
Friedrich-Alexander-Universität Erlangen-Nürnberg
2004-2022
Bayer (Germany)
2019
University of Tübingen
2016
Johns Hopkins University
2016
QT Ultrasound (United States)
2010
University of California, Los Angeles
2007
Medical Solutions
2007
Abstract Acute ischemic stroke (AIS) is a leading global cause of mortality and morbidity. Improving long-term outcome predictions after thrombectomy can enhance treatment quality by supporting clinical decision-making. With the advent interpretable deep learning methods in recent years, it now possible to develop trustworthy, high-performing prediction models. This study introduces an uncertainty-aware, graph model that predicts endovascular outcomes using features imaging biomarkers. The...
<b>BACKGROUND AND PURPOSE:</b> Bone-subtraction techniques have been shown to enhance CT angiography (CTA) interpretation, but motion can lead incomplete bone removal. The aim of this study was evaluate 2 novel registration compensate for patient motion. <b>MATERIALS METHODS:</b> Fifty-four patients underwent bone-subtraction CTA (BSCTA) the evaluation neck vessels with 64-section CT. We tested 3 different procedures: pure rigid (BSCTA), slab-based (SB-BSCTA), and a partially (PR-BSCTA)...
Purpose Ischemic brain edema is subtle and hard to detect by computed tomography within the first hours of stroke onset. We hypothesize that non-enhanced CT (NECT) post-processing with frequency-selective non-linear blending ("best contrast"/BC) increases its accuracy in detecting irreversible tissue damage (infarction). Methods retrospectively analyzed NECT scans 76 consecutive patients ischemic (exclusively middle cerebral artery territory—MCA) before after BC both at baseline reperfusion...
Objective Aim of this ex vivo phantom study was to evaluate the contrast enhancement applying a new frequency split nonlinear blending algorithm (best [BC]) and compare it with standard 120-kV single-energy computed tomography (SECT) images, as well low-kiloelectron volt monoenergetic extrapolations (Mono+ 40–100keV ) from dual-energy CT (DECT) low-kilovolt (70–100 kV) SECT acquisitions. Materials Methods A dilution series iodinated material–filled syringes centered in an attenuation scanned...
Bone subtraction techniques have been shown to enhance cranial computed tomography angiography (CTA). The aims of this study were assess the feasibility bone CTA (BSCTA) in cervical CTA, test whether a late venous CT (LVCT) scan can be used as mask instead low-dose nonenhanced (NECT), and evaluate impact patient motion on image quality.Thirty-six patients underwent BSCTA for evaluation neck vessels with 64-slice system using commercially available software. Eighteen had NECT before 18 an...