Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Medical physics challenges in clinical MR-guided radiotherapy
The integration of magnetic resonance imaging (MRI) for guidance in external beam
radiotherapy has faced significant research and development efforts in recent years. The …
radiotherapy has faced significant research and development efforts in recent years. The …
Variability and standardization of quantitative imaging: monoparametric to multiparametric quantification, radiomics, and artificial intelligence
Radiological images have been assessed qualitatively in most clinical settings by the expert
eyes of radiologists and other clinicians. On the other hand, quantification of radiological …
eyes of radiologists and other clinicians. On the other hand, quantification of radiological …
Multiparametric MRI for characterization of the tumour microenvironment
Our understanding of tumour biology has evolved over the past decades and cancer is now
viewed as a complex ecosystem with interactions between various cellular and non-cellular …
viewed as a complex ecosystem with interactions between various cellular and non-cellular …
Improved unsupervised physics‐informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients
Purpose Earlier work showed that IVIM‐NETorig, an unsupervised physics‐informed deep
neural network, was faster and more accurate than other state‐of‐the‐art intravoxel …
neural network, was faster and more accurate than other state‐of‐the‐art intravoxel …
ADC measurements on the Unity MR-linac–A recommendation on behalf of the Elekta Unity MR-linac consortium
Background and purpose Diffusion-weighted imaging (DWI) for treatment response
monitoring is feasible on hybrid magnetic resonance linear accelerator (MR-linac) systems …
monitoring is feasible on hybrid magnetic resonance linear accelerator (MR-linac) systems …
Quantitative magnetic resonance imaging for biological image-guided adaptive radiotherapy
PJ Van Houdt, Y Yang, UA Van der Heide - Frontiers in Oncology, 2021 - frontiersin.org
MRI-guided radiotherapy systems have the potential to bring two important concepts in
modern radiotherapy together: adaptive radiotherapy and biological targeting. Based on …
modern radiotherapy together: adaptive radiotherapy and biological targeting. Based on …
Linearity and bias of proton density fat fraction as a quantitative imaging biomarker: a multicenter, multiplatform, multivendor phantom study
Background Proton density fat fraction (PDFF) estimated by using chemical shift–encoded
(CSE) MRI is an accepted imaging biomarker of hepatic steatosis. This work aims to promote …
(CSE) MRI is an accepted imaging biomarker of hepatic steatosis. This work aims to promote …
The future of MRI in radiation therapy: Challenges and opportunities for the MR community
RJ Goodburn, MEP Philippens… - Magnetic resonance …, 2022 - Wiley Online Library
Radiation therapy is a major component of cancer treatment pathways worldwide. The main
aim of this treatment is to achieve tumor control through the delivery of ionizing radiation …
aim of this treatment is to achieve tumor control through the delivery of ionizing radiation …
Development, validation, qualification, and dissemination of quantitative MR methods: overview and recommendations by the ISMRM quantitative MR study group
On behalf of the International Society for Magnetic Resonance in Medicine (ISMRM)
Quantitative MR Study Group, this article provides an overview of considerations for the …
Quantitative MR Study Group, this article provides an overview of considerations for the …
[HTML][HTML] Integration of quantitative imaging biomarkers in clinical trials for MR-guided radiotherapy: Conceptual guidance for multicentre studies from the MR-Linac …
Quantitative imaging biomarkers (QIBs) derived from MRI techniques have the potential to
be used for the personalised treatment of cancer patients. However, large-scale data are …
be used for the personalised treatment of cancer patients. However, large-scale data are …