JOURNAL ARTICLE
Unsupervised computed tomography and cone-beam computed tomography image registration using a dual attention network
Rui HuHui YanFudong NianRonghu MaoTeng Li
Year: 2022 Journal: Quantitative Imaging in Medicine and Surgery Vol: 12 (7)Pages: 3705-3716 Publisher: AME Publishing Company
Abstract
The proposed method can register CT and CBCT images with high accuracy without the needs of manual labeling. It provides an effective way for high-accuracy patient positioning and target localization in IGRT.
Keywords:
Image-guided radiation therapy Cone beam computed tomography Artificial intelligence Computer science Block (permutation group theory) Computer vision Image registration Weighting Similarity (geometry) Sørensen–Dice coefficient Tomography Computed tomography Pattern recognition (psychology) Medical imaging Image (mathematics) Medicine Mathematics Radiology Image segmentation Geometry
Metrics
16
Cited By
3.12
FWCI (Field Weighted Citation Impact)
47
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Medical Imaging Techniques and Applications
Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging
Advanced Radiotherapy Techniques
Physical Sciences → Physics and Astronomy → Radiation
Radiomics and Machine Learning in Medical Imaging
Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging
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