6 papers
OccluNet: Spatio-Temporal Deep Learning for Occlusion Detection on DSA
Anushka A. Kore, Frank G. te Nijenhuis, Matthijs van der Sluijs +8
Accurate detection of vascular occlusions during endovascular thrombectomy (EVT) is critical in acute ischemic stroke (AIS). Interpretation of digital subtraction angiography (DSA)…
Direct vascular territory segmentation on cerebral digital subtraction angiography
P. Matthijs van der Sluijs, Lotte Strong, Frank G. te Nijenhuis +10
X-ray digital subtraction angiography (DSA) is frequently used when evaluating minimally invasive medical interventions. DSA predominantly visualizes vessels, and soft tissue anato…
CLAIRE-DSA: Fluoroscopic Image Classification for Quality Assurance of Computer Vision Pipelines in Acute Ischemic Stroke
Cristo J. van den Berg, Frank G. te Nijenhuis, Mirre J. Blaauboer +9
Computer vision models can be used to assist during mechanical thrombectomy (MT) for acute ischemic stroke (AIS), but poor image quality often degrades performance. This work prese…
DSCA: A Digital Subtraction Angiography Sequence Dataset and Spatio-Temporal Model for Cerebral Artery Segmentation
Jiong Zhang, Qihang Xie, Lei Mou +6
Cerebrovascular diseases (CVDs) remain a leading cause of global disability and mortality. Digital Subtraction Angiography (DSA) sequences, recognized as the gold standard for diag…
DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequences
Wentao Liu, Tong Tian, Lemeng Wang +11
The automated segmentation of Intracranial Arteries (IA) in Digital Subtraction Angiography (DSA) plays a crucial role in the quantification of vascular morphology, significantly c…
CAVE: Cerebral Artery-Vein Segmentation in Digital Subtraction Angiography
Ruisheng Su, P. Matthijs van der Sluijs, Yuan Chen +7
Cerebral X-ray digital subtraction angiography (DSA) is a widely used imaging technique in patients with neurovascular disease, allowing for vessel and flow visualization with high…