collaborators

6 papers

cs.RO2026

Eversion-based robots can enable safe access,steering and endoscopic imaging within the spinal subarachnoid space

Zicong Wu, Panagiotis Kalozoumis, S. M. Hadi Sadati +8

Safe navigation within the spinal subarachnoid space is constrained by its narrow, compliant, and delicate anatomy. Conventional catheters and continuum robots rely on proximal pus…

physics.med-ph2026

Real-time 3D Ultrasonic Needle Tracking with a Photoacoustic Beacon

Christian Baker, Weidong Liang, Richard Colchester +7

Many minimally invasive procedures, such as core needle biopsy of focal liver lesions, nerve blocks, and fetal and vascular interventions, are typically performed under ultrasound…

physics.med-ph2026

Three-dimensional intraoperative light field fluorescence imaging system for PpIX-guided tumour resection

Yucheng Bian, Sebastien Ourselin, Yijing Xie

Conventional 2D fluorescence imaging in glioma surgery cannot separate intrinsic fluorophore strength from attenuation with depth, creating depth-intensity ambiguity that can compr…

physics.med-ph2026

Volumetric ultrasound imaging with a sparse matrix array and integrated fiber-optic sensing for robust needle tracking in interventional procedures

Weidong Liang, Javad Rostami, Christian Baker +7

Accurate visualization of interventional devices, such as medical needles, is essential for the safe and effective guidance of minimally invasive procedures. Ultrasound (US) imagin…

physics.optics2025

Light Focusing through Dynamic Media via Real-Valued Intensity Transmission Matrix

Xuan Liu, Sebastien Ourselin, Tianrui Zhao

Precise light delivery through biological tissue is essential for deep-tissue imaging and phototherapeutic applications. Wavefront shaping enables control over scattered light by m…

cs.CV2025

A Fully Open and Generalizable Foundation Model for Ultrasound Clinical Applications

Hongyuan Zhang, Yuheng Wu, Mingyang Zhao +22

Artificial intelligence (AI) that can effectively learn ultrasound representations by integrating multi-source data holds significant promise for advancing clinical care. However,…