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Brian Anthony

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Articles

Quantifying cerebral autoregulation following endovascular thrombectomy using wavelet transformation

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By Thor Håkon, Brian Anthony, Anne Hege
| Frontiers
Abstract Introduction: Cerebral autoregulation (CA) is essential for protecting the brain against harmful fluctuations in cerebral blood flow (CBF) and may be severely impaired in acute ischemic stroke (AIS) patients. Continuous wavelet transform (CWT) is a robust method for quantifying CA. However, data on CWT-based metrics following endovascular thrombectomy (EVT) remain limited. Therefore, we aimed to characterize CA using CWT in AIS patients after EVT.
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DUSTrack: Semi-automated point tracking in ultrasound videos

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By Praneeth Namburi, Roger Pallarès-López, Jessica Rosendorf, Duarte Folgado, Brian Anthony
| Nature Verified
Abstract Ultrasound technology enables safe, non-invasive imaging of dynamic tissue behavior, making it a valuable tool in medicine, biomechanics, and sports science. However, accurately tracking tissue motion in B-mode ultrasound remains challenging due to speckle noise, low edge contrast, and out-of-plane movement. These challenges complicate the task of tracking anatomical landmarks over time, which is essential for quantifying tissue dynamics in many clinical and research applications.
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A multimodal biomechanics dataset with synchronized kinematics and internal tissue motions during reaching

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By Roger Pallarès-López, Duarte Folgado, Uriel Magana-Salgado, Hugo Gamboa, Luca Daniel, Brian Anthony, Praneeth Namburi, Jessica Rosendorf, Enya Ryu, Micha Feigin-Almon
| Nature Verified
Abstract Tissue motions within body segments, such as the relative movements of muscles, fascia, and bone, remain largely unexplored despite their relevance to movement dysfunction, force transmission, and motor skill. Here, we present a time-synchronized multimodal dataset that bridges this gap by capturing both internal tissue dynamics and conventional biomechanical measurements during arm reaching.
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