Background Subtraction Angiography with Deep Learning Using Multi-frame Spatiotemporal Angiographic Input.
Catheter Digital Subtraction Angiography (DSA) is markedly degraded by all voluntary, respiratory, or cardiac motion artifact that occurs during the exam acquisition. Prior efforts directed toward improving DSA images with machine learning have focused on extracting vessels from individual, isolated...
| Published in: | Journal of Digital Imaging Vol. 37; no. 1; pp. 134 - 145 |
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| Main Authors: | , , , , , , , , |
| Format: | diagnostic images equations & formulas tables/charts Journal Article |
| Published: |
Springer Nature
Feb2024
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| Online Access: | View this record in EBSCOhost |