A5038233702- Acute Ischemic Stroke Management
- Cerebrovascular and Carotid Artery Diseases
- Advanced MRI Techniques and Applications
- EEG and Brain-Computer Interfaces
- Brain Tumor Detection and Classification
- ECG Monitoring and Analysis
- Traumatic Brain Injury and Neurovascular Disturbances
- Photoacoustic and Ultrasonic Imaging
- Cardiovascular Health and Disease Prevention
- Medical Imaging and Analysis
- MRI in cancer diagnosis
- Stroke Rehabilitation and Recovery
- Explainable Artificial Intelligence (XAI)
- Machine Learning in Healthcare
- Advanced X-ray and CT Imaging
- Non-Invasive Vital Sign Monitoring
Circle Cardiovascular Imaging
2022-2024
University of Hong Kong
2017
Foothills Medical Centre
2014
Background and Aims: Early accurate detection of vessel occlusion is essential for the management acute ischemic stroke (AIS). Current automated tools mostly rely on single-phase CTA (sCTA), which makes it challenging to accurately identify Medium Vessel Occlusions (MeVO). Multiphase (mCTA), consist an additional two low-dose scans traditional workflow, may be able allow precise MeVO occlusions. In this work, we aim validate StrokeSENS mCTA Occlusion Detection in its ability detect LVOs...
Purpose We propose the use of a retrospectively gated cine fast spin echo (FSE) sequence for characterization carotid artery dynamics. The aim this study was to compare FSE measures dynamics with obtained on prospectively images. Methods common arteries in 10 volunteers were imaged using two temporally resolved sequences: (i) and (ii) FSE. Three raters manually traced area all cardiac phases both sequences. Measured areas systolic–diastolic changes calculated compared. Inter‐ intra‐rater...
Background We recently developed a novel machine learning‐based algorithm using multiphase computed tomography angiography (mCTA) to generate perfusion maps of the brain, similar (CTP) (ie, CTA [mCTAp]). Here, we aim validate clinical utility mCTAp in detection brain ischemia and its side, extent, location. Methods In this prospective multi‐reader‐multi‐case analysis, included baseline images: ( StrokeSENS ‐algorithm) CTP (4D; GE Healthcare) from 121 randomly selected patients whose scans...
Usually, for a patient to receive cardiac examination, they need move from their location nearby hospital, or get an equipped ambulance where are situated. In emergency cases, specialists also have be available diagnosing and deciding on how proceed with that patient, given condition. many Brazilian inland cities, however, there is lack of equipment personnel able perform such tasks. this paper, we propose system assisting remote electrocardiographic (ECG) diagnosis. This consists performing...
Purpose: To validate the performance of a 3D convolutional neural network (CNN) based algorithm i.e. Stroke SENS LVO, in automatically detecting presence large vessel occlusions (LVO) on computed tomography angiography (CTA) images head. Method: A total 400 studies (217 183 non-LVO) were used analysis. The LVO group includes internal carotid artery (ICA) and m1 segment middle cerebral (M1-MCA) occlusions; non-LVO more distal or posterior occlusions, no hemorrhagic stroke cases. Expert...
Background: In acute ischemic stroke (AIS), Computed Tomography Perfusion (CT, CTP) is the most widely used technique for determining extent of tissue likely to die even after successful reperfusion. However, CTP results in higher radiation dose patient, affected by motion, and not available. Multiphase CT Angiography (mCTA), contrast, a low extension ubiquitous workflow. Here, we evaluate StrokeSENS mCTA Perfusion, software tool that uses estimate brain perfusion, compare it its ability...