Zobrazeno 1 - 10
of 361
pro vyhledávání: '"X. Allen Li"'
Autor:
Asma Amjad, Jiaofeng Xu, Dan Thill, Ying Zhang, Jie Ding, Eric Paulson, William Hall, Beth A. Erickson, X. Allen Li
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
IntroductionMulti-sequence multi-parameter MRIs are often used to define targets and/or organs at risk (OAR) in radiation therapy (RT) planning. Deep learning has so far focused on developing auto-segmentation models based on a single MRI sequence. T
Externí odkaz:
https://doaj.org/article/106b3d7395914012ab99c448693aec9f
Autor:
Brigid A. McDonald, Cornel Zachiu, John Christodouleas, Mohamed A. Naser, Mark Ruschin, Jan-Jakob Sonke, Daniela Thorwarth, Daniel Létourneau, Neelam Tyagi, Tony Tadic, Jinzhong Yang, X. Allen Li, Uffe Bernchou, Daniel E. Hyer, Jeffrey E. Snyder, Edyta Bubula-Rehm, Clifton D. Fuller, Kristy K. Brock
Publikováno v:
Frontiers in Oncology, Vol 12 (2023)
MRI-linear accelerator (MR-linac) devices have been introduced into clinical practice in recent years and have enabled MR-guided adaptive radiation therapy (MRgART). However, by accounting for anatomical changes throughout radiation therapy (RT) and
Externí odkaz:
https://doaj.org/article/f1e986b272444b0f9a3c0fb29876191f
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
PurposeFast and automated plan generation is desirable in radiation therapy (RT), in particular, for MR-guided online adaptive RT (MRgOART) or real-time (intrafractional) adaptive RT (MRgRART), to reduce replanning time. The purpose of this study is
Externí odkaz:
https://doaj.org/article/aa4f53f9b872480a9be9ebc754635bd1
Autor:
Jie Ding, PhD, Ying Zhang, PhD, Asma Amjad, PhD, Jiaofeng Xu, PhD, Daniel Thill, MS, X. Allen Li, PhD
Publikováno v:
Advances in Radiation Oncology, Vol 7, Iss 5, Pp 100968- (2022)
Purpose: Fast and accurate auto-segmentation on daily images is essential for magnetic resonance imaging (MRI)–guided adaptive radiation therapy (ART). However, the state-of-the-art auto-segmentation based on deep learning still has limited success
Externí odkaz:
https://doaj.org/article/ef2c5609d93446278cca187f660510db
Autor:
Ying Zhang, PhD, Eric Paulson, PhD, Sara Lim, PhD, William A. Hall, MD, Ergun Ahunbay, PhD, Nikolai J. Mickevicius, PhD, Michael W. Straza, MD, Beth Erickson, MD, X. Allen Li, PhD
Publikováno v:
Advances in Radiation Oncology, Vol 5, Iss , Pp 17-25 (2020)
Purpose: Magnetic resonance-guided online adaptive radiation therapy (MRgOART) requires accurate and efficient segmentation. However, the performance of current autosegmentation tools is generally poor for magnetic resonance imaging (MRI) owing to da
Externí odkaz:
https://doaj.org/article/edc7942685e840d595e1b18e7435a0af
Autor:
Eric S. Paulson, Ergun Ahunbay, Xinfeng Chen, Nikolai J. Mickevicius, Guang-Pei Chen, Christopher Schultz, Beth Erickson, Michael Straza, William A. Hall, X. Allen Li
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 23, Iss , Pp 72-79 (2020)
Background and purpose: In this report, we describe our implementation and initial clinical experience using 4D-MRI driven MR-guided online adaptive radiotherapy (MRgOART) for abdominal stereotactic body radiotherapy (SBRT) on the Elekta Unity MR-Lin
Externí odkaz:
https://doaj.org/article/97cf91662f7c4e41a2a0d44caf40ba11
Autor:
Yazheng Chen, Xinfeng Chen, William Hall, Phil Prior, Ying Zhang, Eric Paulson, Jinyi Lang, Beth Erickson, X. Allen Li
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 12, Iss , Pp 22-29 (2019)
Background and purpose: In radiotherapy (RT) for pancreatic cancer, the dose to adjacent organs-at-risk (OAR) often limits the delivery of curative dose. This work aimed to find a body decubitus position that would lead to increased separation betwee
Externí odkaz:
https://doaj.org/article/15df231b60604f4ab78ea899fd85f9c7
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
SummarySkin cancer patients may be treated definitively using radiation therapy (RT) with electrons, kilovoltage, or megavoltage photons depending on tumor stage and invasiveness. This study modeled tumor control probability (TCP) based on the pooled
Externí odkaz:
https://doaj.org/article/27c69c8d483b4a039d9710c5acef18c7
Autor:
George Noid, Justin Zhu, An Tai, Nilesh Mistry, Diane Schott, Douglas Prah, Eric Paulson, Christopher Schultz, X. Allen Li
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
PurposeWe present the advantages of using dual-energy CT (DECT) for radiation therapy (RT) planning based on our clinical experience.MethodsDECT data acquired for 20 representative patients of different tumor sites and/or clinical situations with dua
Externí odkaz:
https://doaj.org/article/feb7eedc249141fcb55aae04a4a5ef34
Autor:
Xiaomeng Liu, Yueqiang Liang, Jian Zhu, Gang Yu, Yanyan Yu, Qiang Cao, X. Allen Li, Baosheng Li
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
Purpose: The purpose of this work was to propose an online replanning algorithm, named intensity field projection (IFP), that directly adjusts intensity distributions for each beam based on the deformation of structures. IFP can be implemented within
Externí odkaz:
https://doaj.org/article/907c96f3f8b54b3faa1083026c90462d