Zobrazeno 1 - 10
of 21
pro vyhledávání: '"M. Allan Thomas"'
Autor:
M. Allan Thomas, Tinsu Pan
Publikováno v:
EJNMMI Physics, Vol 8, Iss 1, Pp 1-15 (2021)
Abstract Background Data-driven gating (DDG) can improve PET quantitation and alleviate many issues with patient motion. However, misregistration between DDG-PET and CT may occur due to the distinct temporal resolutions of PET and CT and can be mitig
Externí odkaz:
https://doaj.org/article/46b4154f222d4d3abc929d948de462ca
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 16, Iss , Pp 99-102 (2020)
Comprehensive analysis of daily, online adaptive plan quality and safety in magnetic resonance imaging (MRI) guided radiation therapy is critical to its widespread use. Artificial neural network models developed with offline plans created after simul
Externí odkaz:
https://doaj.org/article/f53f24788f4141dfb570fa60a070914c
Publikováno v:
Medical Physics. 48:640-647
Purpose Assessment of image quality directly in clinical image data is an important quality control objective as phantom-based testing does not fully represent image quality across patient variation. Computer algorithms for automatically measuring no
Publikováno v:
Physics and Imaging in Radiation Oncology
Physics and Imaging in Radiation Oncology, Vol 16, Iss, Pp 99-102 (2020)
Physics and Imaging in Radiation Oncology, Vol 16, Iss, Pp 99-102 (2020)
Highlights • ANN prediction models directly compare online, offline, 60Co-, and linac-MRgRT plans. • Roughly one third of 60Co adapted plans deemed inferior to comparable offline plans. • Linac adapted plans essentially equivalent to comparable
Publikováno v:
Medical Physics. 47:5333-5342
PURPOSE 99m Tc-MAA-SPECT/CT may be used in 90 Y-glass microsphere radioembolization treatment planning to assess perfused liver volumes and absorbed dose distributions. The partition model (PM) offers a more detailed planning dosimetry option beyond
Publikováno v:
Journal of Applied Clinical Medical Physics
Purpose Daily online adaptive plan quality in magnetic resonance imaging guided radiation therapy (MRgRT) is difficult to assess in relation to the fully optimized, high quality plans traditionally established offline. Machine learning prediction mod
Autor:
Tinsu Pan, M. Allan Thomas
Publikováno v:
EJNMMI Physics
EJNMMI Physics, Vol 8, Iss 1, Pp 1-15 (2021)
EJNMMI Physics, Vol 8, Iss 1, Pp 1-15 (2021)
Background Data-driven gating (DDG) can improve PET quantitation and alleviate many issues with patient motion. However, misregistration between DDG-PET and CT may occur due to the distinct temporal resolutions of PET and CT and can be mitigated by D
Publikováno v:
Phys Med Biol
Objective. Data-driven gating (DDG) can address patient motion issues and enhance PET quantification but suffers from increased image noise from utilization of Approach. In the primary PET bed with lesions of interest and likely respiratory motion ef
Publikováno v:
Int J Radiat Oncol Biol Phys
PURPOSE: We developed a new data-driven gated (DDG) positron emission tomography (PET)/computed tomography (CT) to improve the registration of CT and DDG PET. METHODS: We acquired 10 repeat PET/CT and 35 cine CT scans for the mitigation of misregistr
Publikováno v:
Medical physicsREFERENCES. 47(10)
Both PM and voxel dosimetry models were used to calculate tumor and NL mean doses using both planningHalf (16/32) of cases were deemed catheter matched.The unconditional use of