Xiaorui Peng

About

Xiaorui Peng is pioneering the fusion of photoacoustic imaging, robotics, and clinical ultrasound to transform the diagnosis of inflammatory arthritis. Her research centers on developing automated, volumetric imaging systems that combine the metabolic sensitivity of photoacoustics with the structural detail of Doppler ultrasound—creating a powerful, non-invasive tool for detecting synovitis in peripheral joints. Her most cited work (2023, 15 citations) introduces a longitudinal, 3D imaging platform built on a GE HealthCare Vivid™ E95 system and a Universal Robot UR3, aimed directly at clinical translation for rheumatology. A companion paper (2023, 8 citations) advances this toward a point-of-care device, while her 2025 review on photoacoustic-robotic integration (4 citations) establishes her as a thought leader in this emerging field. Peng’s contributions are uniquely translational: she bridges cutting-edge optics, robotics, and machine learning—as demonstrated in her earlier work on a reconnaissance robot (2018, 3 citations)—to solve a pressing clinical need. Her work promises to replace subjective, 2D assessments with objective, volumetric imaging, potentially revolutionizing how rheumatoid arthritis is monitored and treated.

Research Focus

Key Achievements

Top Papers

1. 1
   Longitudinal volumetric assessment of inflammatory arthritis via photoacoustic imaging and Doppler ultrasound imaging

   15 citations · 2023
2. 2
   An Automatic 3-D Ultrasound and Photoacoustic Combined Imaging System for Human Inflammatory Arthritis

   8 citations · 2023
3. 3
   Photoacoustic imaging combined with robotics: a review of current works

   4 citations · 2025
4. 4
   Highly Maneuverable Ground Reconnaissance Robot Based on Machine Learning

   3 citations · 2018
5. 5
   <b>Volumetric ultrasound and photoacoustic imaging of inflammatory arthritis in human finger joints via robotic arm powered arc scans</b>

   1 citations · 2025

Key Collaborators

Contact & Links