Beat Werner
Boston Children's Hospital
44 Papers
113 Citations
Beat Werner is an academic researcher from Boston Children's Hospital. The author has contributed to research in topics: Medicine & High-intensity focused ultrasound. The author has an hindex of 17, co-authored 43 publications. Previous affiliations of Beat Werner include University College London & University of Zurich.
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Papers
High-intensity focused ultrasound for noninvasive functional neurosurgery.
TL;DR: This is the first report on successful clinical application of tcMRgHIFU in functional brain disorders, portraying it as safe and reliable for noninvasive neurosurgical interventions.
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Transcranial magnetic resonance imaging-guided focused ultrasound: noninvasive central lateral thalamotomy for chronic neuropathic pain.
TL;DR: It is asserted that tcMRgFUS represents a noninvasive, precise, and radiation-free neurosurgical technique for the treatment of neuropathic pain and avoids mechanical brain tissue shift and the risk of infection.
First noninvasive thermal ablation of a brain tumor with MR-guided focused ultrasound
Daniel Coluccia,Javier Fandino,Lucia Schwyzer,Ruth L. O'Gorman,Luca Remonda,Javier Anon,Ernst Martin,Beat Werner +7 more
TL;DR: This proves the feasibility of using transcranial MR-guided focused ultrasound to safely ablate substantial volumes of brain tumor tissue, for the first time, without provoking neurological deficits or other adverseeffects in the patient.
A review of numerical and experimental compensation techniques for skull-induced phase aberrations in transcranial focused ultrasound.
TL;DR: The importance of precise refocusing is illustrated and a comprehensive review of the wide variety of numerical and experimental techniques that have been used to estimate phase and amplitude corrections are provided.
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Numerical simulations of clinical focused ultrasound functional neurosurgery.
TL;DR: A computational model utilizing grid and finite difference methods was developed to simulate focused ultrasound functional neurosurgery interventions and found that the computational model and the simulation parameters predicted an average of 24 ± 13% lower focal temperature elevations than observed in the treatments.