Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Yuehu Pu"'
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Medical accelerators have been widely used in tumor radiation therapy. Accurate isocenter coincidence between treatment beams and imaging systems is critical for image-guided radiation therapy (IGRT). We propose a method utilizing a phantom with mark
Externí odkaz:
https://doaj.org/article/e4d7a4a6c8a545439975a4726c3ef869
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
A compact room-temperature linear injector has been purposed to accelerate an 18.0 mA proton beam to 7.0 MeV for synchrotron-based proton therapy. The total length is appropriately 5 m. It mainly consists of a 3.01 m radio frequency quadrupole (RFQ)
Externí odkaz:
https://doaj.org/article/dacdfbbca03d4d5dbfdd7b12f544911e
Autor:
Wentao Liao, Yuehu Pu
Publikováno v:
IEEE Access, Vol 9, Pp 87972-87981 (2021)
In recent years, there are more and more researches on automatic radiotherapy planning based on artificial intelligence technology. Most of the work focuses on the dose prediction of radiotherapy planning, that is, the generation of radiation dose di
Externí odkaz:
https://doaj.org/article/914eb5676d634f90a82a092d2e8ebb11
Publikováno v:
Radiation Oncology, Vol 15, Iss 1, Pp 1-11 (2020)
Abstract Background Both plan quality and robustness were investigated through comparing some dosimetric metrics between intensity modulated proton therapy (IMPT) and helical tomotherapy based intensity modulated radiotherapy (IMRT) for cervical canc
Externí odkaz:
https://doaj.org/article/65ebcbdaf09e4630b5a4a5896dfe67c8
Publikováno v:
Technology in Cancer Research & Treatment, Vol 19 (2020)
Purpose: Setup uncertainty is a known challenge for stereotactic body radiotherapy planning. Using the internal target volume-based robust optimization was proposed as a more accurate way than the conventional planning target volume-based optimizatio
Externí odkaz:
https://doaj.org/article/ef98447fe5ce4bfab2c13611cedd2712
Autor:
Chao Wu, Dan Nguyen, Yixun Xing, Ana Barragan Montero, Jan Schuemann, Haijiao Shang, Yuehu Pu, Steve Jiang
Publikováno v:
Machine Learning: Science and Technology, Vol 2, Iss 1, p 015017 (2021)
Pencil beam (PB) dose calculation is fast but inaccurate due to the approximations when dealing with inhomogeneities. Monte Carlo (MC) dose calculation is the most accurate method but it is time consuming. The aim of this study was to develop a deep
Externí odkaz:
https://doaj.org/article/de95c3e2e77440d5aed069f95717b84b
Publikováno v:
IEEE Transactions on Radiation and Plasma Medical Sciences. 7:213-224
We are in a golden age of progress in artificial intelligence (AI). Radiotherapy, due to its technology-intensive nature as well as direct human-machine interactions, is perfectly suited for benefitting from AI to enhance accuracy and efficiency. Ove
Publikováno v:
Radiation Oncology, Vol 15, Iss 1, Pp 1-11 (2020)
Radiation Oncology (London, England)
Radiation Oncology (London, England)
Background Both plan quality and robustness were investigated through comparing some dosimetric metrics between intensity modulated proton therapy (IMPT) and helical tomotherapy based intensity modulated radiotherapy (IMRT) for cervical cancer. Metho
Autor:
Qi Liu, Liangde Gong, Xiufang Li, Martin Grossmann, Jie Wang, Mengya Guo, Shuaizhe Gu, Ye Lin, Manzhou Zhang, Yuehu Pu, Zhiling Chen
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 1040:167293
Autor:
Steve B. Jiang, Jan Schuemann, Haijiao Shang, Dan Nguyen, Yuehu Pu, Yixun Xing, Chao Wu, Ana M. Barragán Montero
Publikováno v:
Mach Learn Sci Technol
Accurate dose calculation is vitally important for proton therapy. Pencil beam (PB) model-based dose calculation is fast but inaccurate due to the approximation when dealing with inhomogeneities. Monte Carlo (MC) dose calculation is the most accurate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1745bb6282399856b648fea3fbc3db7b
https://europepmc.org/articles/PMC9374098/
https://europepmc.org/articles/PMC9374098/