The use of Oxygen-17 MRI provides great promise for the clinically-useful quantification of metabolism. To bring techniques based on 17O closer to clinical application, we demonstrate imaging of metabolically generated H2 17O in pigs after 17O2 delivery with increased temporal resolution T1rho-weighted imaging and precision delivery of 17O2 gas. The kinetics of the appearance of H2 17O in pig brains are displayed with one to two minutes of 17O2 delivery, the shortest delivery times reported in the literature. It is also shown that H2 17O concentrations can be quantified with single shot T1rho imaging based on a balanced steady state free precession readout, and that with this strategy pausing to reduce T1 saturation increases sensitivity to H2 17O over acquisition in the steady state. Several additional considerations with this sequence, which can be generalized to any pre-encoding cluster, such as energy deposition are considered.
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Commun Math Phys
January 2025
School of Mathematics and Statistics, Wuhan University, Wuhan, 430072 China.
We show that the communication cost of quantum broadcast channel simulation under free entanglement assistance between the sender and the receivers is asymptotically characterized by an efficiently computable single-letter formula in terms of the channel's multipartite mutual information. Our core contribution is a new one-shot achievability result for multipartite quantum state splitting via multipartite convex splitting. As part of this, we face a general instance of the quantum joint typicality problem with arbitrarily overlapping marginals.
View Article and Find Full Text PDFInvest Radiol
January 2025
From the Department of Radiology, Stanford University, Stanford, CA (K.W., M.J.M., A.M.L., A.B.S., A.J.H., D.B.E., R.L.B.); Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA (K.W.); GE HealthCare, Houston, TX (X.W.); GE HealthCare, Boston, MA (A.G.); and GE HealthCare, Menlo Park, CA (P.L.).
Objectives: Pancreatic diffusion-weighted imaging (DWI) has numerous clinical applications, but conventional single-shot methods suffer from off resonance-induced artifacts like distortion and blurring while cardiovascular motion-induced phase inconsistency leads to quantitative errors and signal loss, limiting its utility. Multishot DWI (msDWI) offers reduced image distortion and blurring relative to single-shot methods but increases sensitivity to motion artifacts. Motion-compensated diffusion-encoding gradients (MCGs) reduce motion artifacts and could improve motion robustness of msDWI but come with the cost of extended echo time, further reducing signal.
View Article and Find Full Text PDFJSES Int
November 2024
LAM - Motion Lab, University of Liège, Liège, Belgium.
Background: Musculoskeletal adaptations are common in overhead athletes. As they also are involved in injury prevention, there has been an increase in their evaluation through shoulder screening over the last years. However, for some evaluations, and especially for functional testing, there is a lack of normative values, which limits the interpretation of the values measured.
View Article and Find Full Text PDFJ Cardiothorac Vasc Anesth
December 2024
Department of Medical Science, Surgery and Neurosciences, Cardiothoracic and Vascular Anesthesia and Intensive Care Unit, University Hospital of Siena, Siena, Italy. Electronic address:
Objective: This study investigated if the serratus anterior plane block (SAPB) within a multimodal analgesia scheme would reduce acute post-operative pain and intravenous opioid consumption in patients admitted to the intensive care unit after isolated minimally invasive mitral valve surgery.
Design: Retrospective study.
Setting: Patients were admitted to the intensive care unit (ICU) of the University Hospital of Siena (Italy).
Healthc Technol Lett
December 2024
Robotics and Control Laboratory, Department of Electrical and Computer Engineering The University of British Columbia Vancouver Canada.
The Segment Anything model (SAM) is a powerful vision foundation model that is revolutionizing the traditional paradigm of segmentation. Despite this, a reliance on prompting each frame and large computational cost limit its usage in robotically assisted surgery. Applications, such as augmented reality guidance, require little user intervention along with efficient inference to be usable clinically.
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