Results 221 to 230 of about 245,977 (262)

Magnetic Resonance Acoustic Radiation Force Imaging (MR‐ARFI)

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
This review covers the theoretical background, pulse sequence considerations, practical implementations, and multitudes of applications of magnetic resonance acoustic radiation force imaging (MR‐ARFI) described to date. MR‐ARFI is an approach to encode tissue displacement caused by the acoustic radiation force of a focused ultrasound field into the ...
Henrik Odéen   +2 more
wiley   +1 more source

Improved and Automated Detection of Papillary Muscle Infarction Using Joint Bright‐ and Black‐Blood Late Gadolinium Enhancement MRI

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Papillary muscle infarction (PMI) has been linked to significantly increased mortality and is associated with ventricular arrhythmias and mitral regurgitation. Reference bright‐blood late gadolinium enhancement (LGE) imaging provides poor scar‐to‐blood contrast, making PMI visualization challenging. Black‐blood LGE imaging overcomes
Théo Richard   +19 more
wiley   +1 more source

The Development and Challenges of PET/MRI Dual‐Modality Imaging Probes—An Update

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT The integration of Positron emission tomography (PET) with Magnetic resonance imaging (MRI) combines the functional imaging capabilities of PET with the high‐resolution anatomical detail of MRI, creating a synergistic platform for advanced diagnostic imaging and image‐guided therapies. Central to the success of this dual‐modality system is the
Maryam Sabbaghan   +5 more
wiley   +1 more source

Artificial intelligence in radiation therapy treatment planning: A discrete choice experiment

open access: yesJournal of Medical Radiation Sciences, EarlyView.
We conducted a discrete choice experiment (DCE) to explore the preferences of radiation oncology professionals regarding which key features of AI systems might impact future adoption in clinical settings. Our findings suggest that the respondents preferred AI systems that offer the largest time saving, and that provide explanations of the AI reasoning (
Milena Lewandowska   +4 more
wiley   +1 more source

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