ArticleMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Estimation of High Framerate Digital Subtraction Angiography Sequences at Low Radiation Dose.
Article in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Texture-Based Preprocessing Framework with nnU-Net Model for Accurate Intracranial Artery Segmentation.Journal of imaging · 2025Article
- Unlocking radioluminescence in copper cyclic trinuclear complexes.Science advances · 2025Article
- Spatiotemporally constrained 3D reconstruction from biplanar digital subtraction angiography.International journal of computer assisted radiology and surgery · 2025Article
- Two Projections Suffice for Cerebral Vascular Reconstruction.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024Article
- Radiation reduction for interventional radiology imaging: a video frame interpolation solution.Insights into imaging · 2024Article
- Spatiotemporal Disentanglement of Arteriovenous Malformations in Digital Subtraction Angiography.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- One-dimensional scintillator film with benign grain boundaries for high-resolution and fast x-ray imaging.Science advances · 2023Article
- Using temporal and structural data to reconstruct 3D cerebral vasculature from a pair of 2D digital subtraction angiography sequences.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2022Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Digital Subtraction Angiography (DSA) provides high resolution image sequences of blood flow through arteries and veins and is considered the gold standard for visualizing cerebrovascular anatomy for neurovascular interventions. However, acquisition frame rates are typically limited to 1-3 fps to reduce radiation exposure, and thus DSA sequences often suffer from stroboscopic effects. We present the first approach that permits generating high frame rate DSA sequences from low frame rate acquisitions eliminating these artifacts without increasing the patient's exposure to radiation. Our approach synthesizes new intermediate frames using a phase-aware Convolutional Neural Network. This network accounts for the non-linear blood flow progression due to vessel geometry and initial velocity of the contrast agent. Our approach out-performs existing methods and was tested on several low frame rate DSA sequences of the human brain resulting in sequences of up to 17 fps with smooth and continuous contrast flow, free of flickering artifacts.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.