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相关论文: On the tradeoff between treatment time and plan qu…

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We propose a novel optimization model for volumetric modulated arc therapy (VMAT) planning that directly optimizes deliverable leaf trajectories in the treatment plan optimization problem, and eliminates the need for a separate…

医学物理 · 物理学 2014-03-05 Dávid Papp , Jan Unkelbach

In recent years, volumetric modulated arc therapy (VMAT) has been becoming a more and more important radiation technique widely used in clinical application for cancer treatment. One of the key problems in VMAT is treatment plan…

医学物理 · 物理学 2016-01-06 Yu Yang , Bin Dong , Zaiwen Wen

The purpose of this study is to give an exact formulation of optimization of volumetric-modulated arc therapy (VMAT) with sliding-window delivery, and to investigate the plan quality effects of decreasing the number of sliding-window sweeps…

医学物理 · 物理学 2018-10-23 Lovisa Engberg , Anders Forsgren

Stereotactic body radiotherapy (SBRT) is characterized by delivering a high amount of dose in a short period of time. In SBRT the dose is delivered using open fields (e.g., beam's-eye-view) known as "apertures". Mathematical methods can be…

医学物理 · 物理学 2015-06-15 Hamed Yarmand , David Craft

In the past decades mathematical optimization has found its way into radiation therapy and has made profound practice changing impact. Today, virtually all advanced treatment delivery methods, such as IMRT, VMAT, tomotherapy, LDR/HDR…

医学物理 · 物理学 2018-10-31 Bram L. Gorissen , Jan Unkelbach , Thomas R. Bortfeld

In this article we provide a method to generate the trade-off between delivery time and fluence map matching quality for volumetric modulated arc therapy (VMAT). At the heart of our method lies a mathematical programming model that, for a…

医学物理 · 物理学 2017-03-08 Marleen Balvert , David Craft

In this first paper of a two-paper series, we present a method for optimizing the dynamic delivery of fluence maps in radiation therapy. For a given fluence map and a given delivery time, the optimization of the leaf trajectories of a…

医学物理 · 物理学 2016-08-10 David Craft , Marleen Balvert

This report presents a design of a gantry for proton therapy based on the concept of adiabatic transition. The use of fixed-field alternating gradient magnets allows a large momentum acceptance and supports fast energy modulation. The…

加速器物理 · 物理学 2021-05-13 Titus-Stefan Dascalu , Suzanne L. Sheehy

The physical and clinical benefits of charged particle therapy (CPT) are well recognised and recent developments have led to the rapid emergence of facilities, resulting in wider adoption worldwide. Nonetheless, the availability of CPT and…

医学物理 · 物理学 2021-12-17 Jacinta Yap , Andrea De Franco , Suzie Sheehy

Within the setting of intensity modulated radiation therapy (IMRT) and the fully continuous version of IMRT called volumetric modulated radiation therapy (VMAT), we consider the problem of matching a given fluence map as well as possible in…

医学物理 · 物理学 2019-01-14 Matthew Kelly , Jacobus H. M. van Amerongen , Marleen Balvert , David Craft

A central problem in the field of radiation therapy (RT) is how to optimally deliver dose to a patient in a way that fully accounts for anatomical position changes over time. As current RT is a static process, where beam intensities are…

医学物理 · 物理学 2019-09-04 Rodney D. Wiersma , Xinmin Liu

In radiation therapy, mathematical methods have been used for optimizing treatment planning for delivery of sufficient dose to the cancerous cells while keeping the dose to critical surrounding structures minimal. This optimization problem…

医学物理 · 物理学 2015-06-16 Hamed Yarmand , David Craft

Background: Proton arc therapy is an emerging radiation therapy technique where either the gantry or the patient continuously rotates during the irradiation treatment. One of the perceived advantages of proton arc therapy is the reduced…

医学物理 · 物理学 2023-10-20 Viktor Wase , Otte Marthin , Albin Fredriksson , Anton Finnson

A new strategy for radiation therapy dosimetry planning (RTDP) used to reduce dose estimation errors due to respiratory motion in breast treatment was illustrated and evaluated in this study. On CT data set acquired for breast treatment,…

医学物理 · 物理学 2021-10-20 Mazen Moussallem , Pauline Harb , Hanane Rima , Zeina Al Kattar , Saad Ayoubi

Intensity-modulated proton therapy (IMPT) offers superior dose conformity with reduced exposure to surrounding healthy tissues compared to conventional photon therapy. Improving IMPT delivery efficiency reduces motion-related uncertainties,…

医学物理 · 物理学 2025-04-15 Ya-Nan Zhu , Nimita Shinde , Bowen Lin , Hao Gao

In robotic radiation therapy, high-energy photon beams from different directions are directed at a target within the patient. Target motion can be tracked by robotic ultrasound and then compensated by synchronous beam motion. However,…

计算工程、金融与科学 · 计算机科学 2024-03-29 Lars Beckers , Stefan Gerlach , Ole Lübke , Alexander Schlaefer , Sibylle Schupp

Radiotherapy is a crucial cancer treatment that demands precise planning to balance tumor eradication and preservation of healthy tissue. Traditional treatment planning (TP) is iterative, time-consuming, and reliant on human expertise,…

机器学习 · 计算机科学 2025-02-10 Matteo Ferrante , Alessandra Carosi , Rolando Maria D Angelillo , Nicola Toschi

Background and Purpose: Increasing the number of arcs in volumetric modulated arc therapy (VMAT) allows for better intensity modulation and may improve plan quality. However, this leads to longer delivery times, which may cause patient…

医学物理 · 物理学 2025-10-31 Nathan Torelli , Madalyne Day , Jan Unkelbach

Traditional VMAT optimization often ignores dynamic machine limits, treating delivery time as an emergent property rather than a steerable parameter. This work introduces Dynamic Modulated Arc Therapy (DMAT), an intent-driven framework that…

Background: Intensity-modulated proton therapy (IMPT) using pencil beam technique scans tumor in a layer by layer, then spot by spot manner. It can provide highly conformal dose to tumor targets and spare nearby organs-at-risk (OAR). Fast…

医学物理 · 物理学 2024-11-28 Aoxiang Wang , Ya-Nan Zhu , Jufri Setianegara , Yuting Lin , Peng Xiao , Qingguo Xie , Hao Gao
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