Publications by authors named "J Revels"
The modified barium swallow study (MBSS) is a diagnostic examination that visualizes the functional anatomy and physiology of the oral pharyngeal swallowing mechanism in real time. The MBSS, a videofluoroscopic imaging method, is indicated for patients with known or suspected oropharyngeal dysphagia and ideally involves the combined expertise of a radiologist and speech pathologist. The MBSS provides critical diagnostic insights that help in identifying and assessing the type and severity of physiological swallowing impairments, evaluating the safety of oral intake, testing the effectiveness of evidence-based interventions, and developing treatment plans.
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- The development of deep neural networks has led to deep learning reconstruction (DLR) CT algorithms, enhancing image creation processes by integrating deep learning at various stages of imaging.
- DLR techniques effectively reduce image noise from lower radiation doses while maintaining image quality and diagnostic performance compared to traditional methods like filtered backprojection (FBP) and iterative reconstruction (IR).
- Clinical evidence supports the use of DLR algorithms for abdominal imaging across multiple tasks, showcasing their benefits, current limitations, and future prospects in CT imaging.
T1-weighted (T1W) pulse sequences are an indispensable component of clinical protocols in abdominal MRI but usually require multiple breath holds (BHs) during the examination, which not all patients can sustain. Patient motion can affect the quality of T1W imaging so that key diagnostic information, such as intrinsic signal intensity and contrast enhancement image patterns, cannot be determined. Patient motion also has a negative impact on examination efficiency, as multiple acquisition attempts prolong the duration of the examination and often remain noncontributory.
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