Results 81 to 90 of about 627,413 (249)

Configuration Design and Size Optimization of a High-Precision Novel Parallel Pointing Mechanism Based on Interference Separation

open access: yesChinese Journal of Mechanical Engineering
Pointing mechanism is widely used in aerospace field, and its pointing accuracy and stability have high requirements. The pointing mechanism will be affected by external interference when it works.
Sen Wang   +5 more
doaj   +1 more source

Beam model development and clinical experience with RadCalc for treatment plan quality assurance in online adaptive workflow with an MR‐linac

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The aim of this work was to report on the optimization, commissioning, and validation of a beam model using a commercial independent dose verification software RadCalc version 7.2 (Lifeline Software Inc, Tyler, TX, USA), along with 4 years of experience employing RadCalc for offline and online monitor unit (MU) verification on the ...
Urszula Jelen   +3 more
wiley   +1 more source

Configuration synthesis of hoop truss deployable mechanisms for space antenna based on screw theory

open access: yesAIP Advances, 2019
Hoop truss deployable antenna can realize the communication and data transmission between satellite and earth, which is an important type of satellite antennas, and its configuration design is currently one of the research hotspots in the field of ...
Bo Han   +5 more
doaj   +1 more source

Demonstration of an enhanced dosing pattern for debulking large and bulky unresectable tumors via differential hole‐size spatially fractionated radiotherapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose/objective We propose a novel lattice deployment for spatially fractionated radiotherapy (SFRT) treatments. In this approach, a larger diameter high‐dose sphere is centrally placed in the bulky tumor mass and surrounded by smaller diameter high‐dose spheres.
Joshua Misa   +2 more
wiley   +1 more source

Accuracy and reproducibility of a single‐pose image‐to‐robot registration method for mobile C‐arm cone beam CT guided histotripsy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Histotripsy is a focal tumor therapy that utilizes focused ultrasound (US) to mechanically destroy tissue. To overcome visualization limitations of diagnostic US‐guidance, C‐arm cone beam CT (CBCT)‐guided histotripsy is being developed, for which a mobile C‐arm could increase accessibility. CBCT‐guided histotripsy uses a phantom with a
Grace M. Minesinger   +5 more
wiley   +1 more source

Lasers structured light with phase-shifting for dense depth perception

open access: yesResults in Physics, 2019
In this paper, a novel depth acquisition algorithm aiming to obtain high resolution of dense depth maps based on lasers is proposed. Which expands the projection range and improves the robustness.
Dongxue Li   +6 more
doaj  

Simulation‐free workflow for lattice radiation therapy using deep learning predicted synthetic computed tomography: A feasibility study

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Lattice radiation therapy (LRT) is a form of spatially fractionated radiation therapy that allows increased total dose delivery aiming for improved treatment response without an increase in toxicities, commonly utilized for palliation of bulky tumors.
Libing Zhu   +9 more
wiley   +1 more source

Spinal Cord Abnormalities in Early Pediatric Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Spinal cord lesions and atrophy in the cervical region are common in adult multiple sclerosis (MS) and correlate with disability. Whether similar abnormalities occur in pediatric MS patients is largely unknown. Clinical and MRI evaluations were performed in 38 pediatric MS patients and 13 healthy controls (HC).
Monica Margoni   +7 more
wiley   +1 more source

Precision‐Optimised Post‐Stroke Prognoses

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope   +4 more
wiley   +1 more source

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