Toward an Integrated Decision Making Framework for Optimized Stroke Diagnosis with DSA and Treatment under Uncertainty [PDF]
This study addresses the challenge of stroke diagnosis and treatment under uncertainty, a critical issue given the rapid progression and severe consequences of stroke conditions such as aneurysms, arteriovenous malformations (AVM), and occlusions. Current diagnostic methods, including Digital Subtraction Angiography (DSA), face limitations due to high ...
arxiv
Investigation of left ventricular function by digital subtraction angiography.
R. Greenbaum, T.R. Jeff Evans
openalex +1 more source
Chronic thromboembolism pulmonary hypertension (CTEPH) is a common cause of severe pulmonary hypertension, resulting in significant morbidity and mortality.
Alaa Alduraibi, MD, Ahmed Fathala, MD
doaj
4DRGS: 4D Radiative Gaussian Splatting for Efficient 3D Vessel Reconstruction from Sparse-View Dynamic DSA Images [PDF]
Reconstructing 3D vessel structures from sparse-view dynamic digital subtraction angiography (DSA) images enables accurate medical assessment while reducing radiation exposure. Existing methods often produce suboptimal results or require excessive computation time. In this work, we propose 4D radiative Gaussian splatting (4DRGS) to achieve high-quality
arxiv
Transfemoral Digital Subtraction Angiography for Assessment of Vertebral Artery Occlusion in Rats [PDF]
Konstanze Plaschke+4 more
openalex +1 more source
GaraMoSt: Parallel Multi-Granularity Motion and Structural Modeling for Efficient Multi-Frame Interpolation in DSA Images [PDF]
The rapid and accurate direct multi-frame interpolation method for Digital Subtraction Angiography (DSA) images is crucial for reducing radiation and providing real-time assistance to physicians for precise diagnostics and treatment. DSA images contain complex vascular structures and various motions.
arxiv
USE OF FILTERS (I. Clinical Use of Digital Subtraction Angiography)
YOSHIFUMI KITANO+3 more
openalex +2 more sources
The Principle of Digital Subtraction Angiography and Radiological Protection [PDF]
Kouichirou Okamoto+3 more
openalex +1 more source
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation [PDF]
The accurate segmentation of coronary Digital Subtraction Angiography (DSA) images is essential for diagnosing and treating coronary artery diseases. Despite advances in deep learning-based segmentation, challenges such as low contrast, noise, overlapping structures, high intra-class variance, and class imbalance limit precise vessel delineation.
arxiv