This study proposes a deep learning (DL)-based metal artifact reduction (MAR) framework to unsupervisely combine DL and k-means clustering algorithm and to ...
Proton therapy can benefit chordoma treatment due to its capability of delivering highly conformal doses to the target area. However, clinical observations ...
... The results indicate that it is feasible to use the proposed method to localize treatment regions and guide the delivery of proton beams for potential ...
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An integrated biological optimization framework for proton SBRT FLASH treatment planning allows dose, dose rate, and LET optimization using patient-specific ...
... Proton Stereotactic Body Radiation Therapy FLASH Treatment ... • An unsupervised patient-specific metal artifact reduction framework for proton therapy.
This paper uses the CycleGAN architecture as the base framework to achieve unsupervised reduction of metal artifacts by introducing an efficient Transformer- ...
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In some proton therapy facilities, patient alignment relies on two 2D ... Iterative metal artifact reduction: evaluation and optimization of technique ...
Apr 25, 2024 · Utilizing protocol parameters specific for metal during CT acquisition and reconstruction, using metal artifact reduction software, and scanning ...
Oct 9, 2022 · Chang C‐W, Lei Y, Charyyev S, et al. An unsupervised patient‐specific metal artifact reduction framework for proton therapy. Paper presented at: ...