Dosimetric evaluation of MRI‐guided multi‐leaf collimator tracking and trailing for lung stereotactic body radiation therapy

P Uijtewaal, PTS Borman, PL Woodhead… - Medical …, 2021 - Wiley Online Library
Purpose The treatment margins for lung stereotactic body radiotherapy (SBRT) are often
large to cover the tumor excursions resulting from respiration, such that underdosage of the …

Respiration-Induced Organ Motion Compensation: A Review

S Wilcox, Z Huang, J Shah, X Yang, Y Chen - Annals of Biomedical …, 2024 - Springer
Purpose Motion of organs in the abdominal and thoracic cavity caused by respiration is a
major issue that affects a wide range of clinical diagnoses or treatment outcomes, including …

Partial respiratory motion compensation for abdominal extracorporeal boiling histotripsy treatments with a robotic arm

GPL Thomas, TD Khokhlova… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Extracorporeal boiling histotripsy (BH), a noninvasive method for mechanical tissue
disintegration, is getting closer to clinical applications. However, the motion of the targeted …

Potential of a probabilistic framework for target prediction from surrogate respiratory motion during lung radiotherapy

C Remy, D Ahumada, A Labine, JC Côté… - Physics in Medicine …, 2021 - iopscience.iop.org
Purpose. Respiration-induced motion introduces significant positioning uncertainties in
radiotherapy treatments for thoracic sites. Accounting for this motion is a non-trivial task …

Predicting respiratory motion for real-time tumour tracking in radiotherapy

T Krilavicius, I Zliobaite, H Simonavicius… - 2016 IEEE 29th …, 2016 - ieeexplore.ieee.org
Radiation therapy is a local treatment aimed at killing cells in and around a tumor. Accurate
predictions of lung tumor motion help to improve the precision of radiation treatment by …

[图书][B] Stationary and non-stationary time series prediction using state space model and pattern-based approach

KM Kam - 2014 - search.proquest.com
The motion-adaptive radiotherapy techniques are promising to deliver ablative radiation
doses to tumor with minimal normal tissue exposure by accounting for real-time tumor …

An efficient time series subsequence pattern mining and prediction framework with an application to respiratory motion prediction

S Wang, K Kam, C Xiao, S Bowen… - Proceedings of the …, 2016 - ojs.aaai.org
Traditional time series analysis methods are limited on some complex real-world time series
data. Respiratory motion prediction is one of such challenging problems. The memory …

The advantageous of O-ARM in order to reduce the domain of search area in motion artifact correction methods: a Feasibility Study

MS Sokout, A Ghorbanian, B Beigzadeh - 2024 - researchsquare.com
Image-guided surgery (IGS) has become one of the most practical, safest, and fastest
procedures. One of its most crucial requirements is to have high-quality and high-speed CT …

Study of Learning Entropy for Novelty Detection in lung tumor motion prediction for target tracking radiation therapy

I Bukovsky, N Homma, M Cejnek… - 2014 International Joint …, 2014 - ieeexplore.ieee.org
This paper presents recently introduced concept of Learning Entropy (LE) for time series and
recalls the practical form of its evaluation in real time. Then, a technique that estimates the …

Quantitative Comparison of Motion Artifacts in PET Images using Data-Based Gating

J Gye Hwan - Journal of the Korean Society of Radiology, 2023 - koreascience.kr
PET is used effectively for biochemical or pathological phenomena, disease diagnosis,
prognosis determination after treatment, and treatment planning because it can quantify …