Zobrazeno 1 - 10
of 2 569
pro vyhledávání: '"deformable image registration"'
Autor:
Yukari Nagayasu, Shoki Inui, Yoshihiro Ueda, Akira Masaoka, Masahide Tominaga, Masayoshi Miyazaki, Koji Konishi
Publikováno v:
Journal of Medical Physics, Vol 49, Iss 3, Pp 335-342 (2024)
Aims: This study aimed to evaluate the geometrical accuracy of atlas-based auto-segmentation (ABAS), deformable image registration (DIR), and deep learning auto-segmentation (DLAS) in adaptive radiotherapy (ART) for head-and-neck cancer (HNC). Subjec
Externí odkaz:
https://doaj.org/article/c079bb8921084ac89b27fffd84cd53c9
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-11 (2024)
Abstract Background Adaptive therapy has been enormously improved based on the art of generating adaptive computed tomography (ACT) from planning CT (PCT) and the on-board image used for the patient setup. Exploiting the ACT, this study evaluated the
Externí odkaz:
https://doaj.org/article/9f50cf58d0f042929d12a88802d84e1c
Autor:
M. Anil Kumar, Raghavendra Hajare, Bhakti Dev Nath, K. K. Sree Lakshmi, Umesh M. Mahantshetty
Publikováno v:
Journal of Medical Physics, Vol 49, Iss 2, Pp 240-249 (2024)
Aim: To commission and validate commercial deformable image registration (DIR) systems (SmartAdapt® and Velocity™) using task group 132 (TG-132) digital phantom datasets. Additionally, the study compares and verifies the DIR algorithms of the two
Externí odkaz:
https://doaj.org/article/7abd1fa096804f248e010ab12fdceefd
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract This study employed a commercial software velocity to perform deformable registration and dose calculation on deformed CT images, aiming to assess the accuracy of dose delivery during the radiotherapy for lung cancers. A total of 20 patients
Externí odkaz:
https://doaj.org/article/9b77d6315637417fa46ece2674406c7b
Autor:
Martina Murr, Daniel Wegener, Simon Böke, Cihan Gani, David Mönnich, Maximilian Niyazi, Moritz Schneider, Daniel Zips, Arndt-Christian Müller, Daniela Thorwarth
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 32, Iss , Pp 100662- (2024)
Background and purpose: Conventional image-guided radiotherapy (conv-IGRT) is standard in prostate cancer (PC) but does not account for inter-fraction anatomical changes. Online-adaptive magnetic resonance-guided RT (OA-MRgRT) may improve organ-at-ri
Externí odkaz:
https://doaj.org/article/8a0271fd182d477091f0a44896e3dbb6
Autor:
Lando S. Bosma, Mohammad Hussein, Michael G. Jameson, Soban Asghar, Kristy K. Brock, Jamie R. McClelland, Sara Poeta, Johnson Yuen, Cornel Zachiu, Adam U. Yeo
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 32, Iss , Pp 100647- (2024)
Multiple tools are available for commissioning and quality assurance of deformable image registration (DIR), each with their own advantages and disadvantages in the context of radiotherapy. The selection of appropriate tools should depend on the DIR
Externí odkaz:
https://doaj.org/article/6e81f55d6aeb4c93a22a2af5e8cfbc50
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-10 (2024)
Abstract Purpose Accurate deformable registration of magnetic resonance imaging (MRI) scans containing pathologies is challenging due to changes in tissue appearance. In this paper, we developed a novel automated three-dimensional (3D) convolutional
Externí odkaz:
https://doaj.org/article/aa7a30cf9f134fa696c6a1bac7fc0a38
Autor:
Marta Szlag, Magdalena Stankiewicz, Sylwia Kellas-Ślęczka, Małgorzata Stąpór-Fudzińska, Agnieszka Cholewka, Agnieszka Pruefer, Piotr Wojcieszek
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 31, Iss , Pp 100631- (2024)
The accumulated dose from sequential treatments of metachronous non-melanoma skin cancer can be assessed using image registration, although guidelines for selecting the appropriate algorithm are lacking. This study shows the impact of rigid (RIR), de
Externí odkaz:
https://doaj.org/article/8cf108a8ebab4ba0badf07707cbb30b8
Autor:
Martina Murr, Uffe Bernchou, Edyta Bubula-Rehm, Mark Ruschin, Parisa Sadeghi, Peter Voet, Jeff D Winter, Jinzhong Yang, Eyesha Younus, Cornel Zachiu, Yao Zhao, Hualiang Zhong, Daniela Thorwarth
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 30, Iss , Pp 100588- (2024)
Background and Purpose: Application of different deformable dose accumulation (DDA) solutions makes institutional comparisons after online-adaptive magnetic resonance-guided radiotherapy (OA-MRgRT) challenging. The aim of this multi-institutional stu
Externí odkaz:
https://doaj.org/article/a7331327380a468a9b3d92909041d67c
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Deformable registration plays a fundamental and crucial role in scenarios such as surgical navigation and image-assisted analysis. While deformable registration methods based on unsupervised learning have shown remarkable success in predicting displa
Externí odkaz:
https://doaj.org/article/de2c74c8942a46e895657920624fec69