[HTML][HTML] An overview of deep learning in medical imaging focusing on MRI
AS Lundervold, A Lundervold - Zeitschrift für Medizinische Physik, 2019 - Elsevier
What has happened in machine learning lately, and what does it mean for the future of
medical image analysis? Machine learning has witnessed a tremendous amount of attention …
medical image analysis? Machine learning has witnessed a tremendous amount of attention …
[HTML][HTML] 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 …
[HTML][HTML] Diffusion-weighted imaging of the breast—a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working …
Abstract The European Society of Breast Radiology (EUSOBI) established an International
Breast DWI working group. The working group consists of clinical breast MRI experts, MRI …
Breast DWI working group. The working group consists of clinical breast MRI experts, MRI …
FUTURE-AI: guiding principles and consensus recommendations for trustworthy artificial intelligence in medical imaging
The recent advancements in artificial intelligence (AI) combined with the extensive amount
of data generated by today's clinical systems, has led to the development of imaging AI …
of data generated by today's clinical systems, has led to the development of imaging AI …
[HTML][HTML] 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 …
A standard system phantom for magnetic resonance imaging
Purpose A standard MRI system phantom has been designed and fabricated to assess
scanner performance, stability, comparability and assess the accuracy of quantitative …
scanner performance, stability, comparability and assess the accuracy of quantitative …
[HTML][HTML] Harmonization of brain diffusion MRI: concepts and methods
MS Pinto, R Paolella, T Billiet, P Van Dyck… - Frontiers in …, 2020 - frontiersin.org
MRI diffusion data suffers from significant inter-and intra-site variability, which hinders multi-
site and/or longitudinal diffusion studies. This variability may arise from a range of factors …
site and/or longitudinal diffusion studies. This variability may arise from a range of factors …
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 …
Feasibility and accuracy of quantitative imaging on a 1.5 T MR-linear accelerator
ES Kooreman, PJ van Houdt, ME Nowee… - Radiotherapy and …, 2019 - Elsevier
Purpose Systems for magnetic resonance (MR-) guided radiotherapy enable daily MR
imaging of cancer patients during treatment, which is of interest for treatment response …
imaging of cancer patients during treatment, which is of interest for treatment response …
MRI scarcity in low‐and middle‐income countries
M Jalloul, M Miranda‐Schaeubinger… - NMR in …, 2023 - Wiley Online Library
Since the introduction of MRI as a sustainable diagnostic modality, global accessibility to its
services has revealed a wide discrepancy between populations—leaving most of the …
services has revealed a wide discrepancy between populations—leaving most of the …