ZhongliangJiang

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Zhongliang Jiang

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Zhongliang Jiang Zhongliang Jiang, MSc

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Computer Aided Medical Procedures & Augmented Reality
Fakultät für Informatik
Technische Universität München
Boltzmannstr. 3
85748 Garching b. München
Room: MI 03.13.041

Klinikum Rechts der Isar
Interdisziplinäres Forschungslabor
Ismaninger Str. 22
81675 München
Room: Building 501 - 01.01.3a-c
Phone: +49 89 4140 6457

* Google ScholarScholar

News

  • 30 May (2020): 1 previous paper accepted for publication in IEEE Transactions on Medical Robotics and Bionics
  • 07 Jan (2020): 1 paper accepted to IEEE Robotics and Automation Letters (presented at ICRA2020)


Research Interests

  • Medical Robotics
  • Robotic Learning
  • Human-Robot Interaction


Bachelor, Master Thesis

If you are interested in projects in the area of medical robot and robotic learning, you are always welcome to drop an email to me.

Available
Master ThesisAutomatic Robotic Ultrasound Scan
(Zhongliang Jiang; Dr. Mingchuan Zhou, Prof. Nassir Navab)

  • Learning-Based Method to Place the Ultrasound Probe in Normal Direction of Contact Surface
  • Reinforcement Learning for Fully Automatic Robotic Ultrasound Examination


Teaching


Publications

2020
Z. Jiang, L. Lei, Y. Sun, X. Qi, Y. Hu, B. Li, N. Navab, J. Zhang
Model-Based Compensation of Moving Tissue for State Recognition in Robotic-Assisted Pedicle Drilling
IEEE Transactions on Medical Robotics and Bionics (bib)
Z. Jiang, M. Grimm, M. Zhou, J. Esteban, W. Simson, G. Zahnd, N. Navab
Automatic Normal Positioning of Robotic Ultrasound Probe based only on Confidence Map Optimization and Force Measurement
IEEE Robotics and Automation Letters (presented at ICRA2020) (bib)

Automatic Normal Positioning of Robotic Ultrasound Probe based only on Confidence Map Optimization and Force Measurement

The presented method aims at acquiring good US image quality by optimizing the orientation of the robotic ultrasound (US) probe, i.e. aligning the central axis of the US probe to the tissue’s surface normal at the point of contact in order to improve sound propagation within the tissue. This is done using estimated forces and the US image in this work. To the best of our knowledge, this is the first paper combining force estimates and real-time US images for estimating the optimal probe orientation.

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