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Respiratory Motion pca lung motion model
Pca Lung Motion Model, supplied by Respiratory Motion, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pca+model/pca+lung+motion+model/pm40288024-61-0-13
Average 90 stars, based on 1 article reviews
pca lung motion model - by Bioz Stars, 2026-10
90/100 stars

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Related Articles

Produced:

Article Title: Continuous generation of volumetric images during stereotactic body radiation therapy using periodic kV imaging and an external respiratory surrogate.
Article Snippet: Three PCA weighting coefficients were used for each XCAT dataset to build the respiratory motion models for this work. .. A 3D image can be produced from a single 2D X-ray image by using a forward iterative reconstruction (FIR) process to optimize the weights (w t( )n ) in the PCA respiratory motion model so that the projection of the deformed reference CT image matches the observed X-ray image. ..

Magnetic Resonance Imaging:

Article Title: Population-based 3D respiratory motion modelling from convolutional autoencoders for 2D ultrasound-guided radiotherapy.
Article Snippet: Radiotherapy is a widely used treatment modality for various types of cancers.. A challenge for precise delivery of radiation to the treatment site is the management of internal motion caused by the patient’s breathing, especially around abdominal organs such as the liver.. Current image-guided radiation therapy (IGRT) solutions rely on ionising imaging modalities such as X-ray or CBCT, which do not allow realtime target tracking.

Construct:

Article Title: An upfront patient selection strategy based on personalized data-driven computed tomography generation for deep inspiration breath-hold in breast radiotherapy.
Article Snippet: Background: Currently there is no widely used upfront selection method to determine whether patients are suitable for deep inspiration breath-hold (DIBH) in left-sided breast radiotherapy.. Purpose: To establish an upfront patient selection strategy to improve the decision-making efficiency of DIBH and avoid extra computed tomography (CT) exposure to patients.. Methods: A total of 174 patients who underwent both free-breathing (FB) and DIBH scans were enrolled.



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