NAME: Liu, Li

POSITION TITLE: Assistant Professor of Biomedical Engineering, Shenzhen University School of Medicine

EDUCATION/TRAINING

A.   Personal Statement

My long-standing research interests fall in information processing techniques during medical interventions, including medical image computing and computer assisted interventions. Specifically, medical image computing ensures the derivation of optimized parameters from the acquired multimodality medical images, allows for exploitation of the image-derived parameters, and facilitates the development of anatomical and associated physiological models which can further help in understanding different disease mechanism. Most importantly, the combination of these models with multimodal images, sensor data from spatial tracking or force sensors, visual displays, or other feedback systems in a computer assisted intervention will facilitate personalized therapy. In collaboration with national and international experts from both industry and academia, our group has focused strongly on translational research in different stages of medical interventions, aiming to improve healthcare delivery to patients. I have published >10 papers in peer-reviewed professional journals. I am currently mentoring two M.Sc. candidates.

B.   Positions and Honors

Positions and Employment

0 8 / 2008 –1 2 / 2011       Research Assistant , Research Center of Intelligent Sensing, Shenzhen Institutes of                                                  Advanced Technology, Chinese Academy of Sciences, China 

0 9 /201 6 – present       Assistant Professor, Shenzhen University School of Medicine, Shenzhen, China

Organizing International Meetings

Other Experience and Honors

1.    2009 Best Paper Award, IEEE International Conference on Information and Automation (ICIA)

2.    2014 MICCAI Student Travel Award, MICCAI Society

3.    2016 Distinguished Doctorate Dissertation Award, Swiss Institute of Computer Assisted Surgery

C.   Contributions to Science (*: corresponding/co-corresponding author)

D.   Research Support

Ongoing Research Support

Shenzhen university faculty initial funding         06/01/2017 to 05/31/2019

Li Liu, PI                                                                         ￥60,000

Completed Research Support

E.    Peer-reviewed publications (*: corresponding author)

Peer Reviewed Journal Papers

1.      Song, S., Zhang, C., Liu, L*., & Meng, M. Q. H. (2018). Preliminary study on magnetic tracking-based planar shape sensing and navigation for flexible surgical robots in transoral surgery: methods and phantom experiments. International journal of computer assisted radiology and surgery, 13(2), 241-251.

2.      Liu, L.*, Ecker, T. M., Schumann, S., Siebenrock, K. A., & Zheng, G. (2016). Evaluation of constant thickness cartilage models vs. patient specific cartilage models for an optimized computer-assisted planning of periacetabular osteotomy. PloS one, 11(1), e0146452.

3.       Liu, L., Ecker, T., Xie, L., Schumann, S., Siebenrock, K., & Zheng, G. (2015). Biomechanical validation of computer assisted planning of periacetabular osteotomy: A preliminary study based on finite element analysis. Medical engineering & physics, 37(12), 1169-1173.

4.       Liu, L., Zheng, G., Bastian, J. D., Keel, M. J. B., Nolte, L. P., Siebenrock, K. A., & Ecker, T. M. (2015). Periacetabular osteotomy through the pararectus approach: technical feasibility and control of fragment mobility by a validated surgical navigation system in a cadaver experiment. International orthopaedics, 1-8.

5.       Cheng, H., Liu, L., Yu, W., Zhang, H., Luo, D., & Zheng, G. (2015). Comparison of 2.5D and 3D quantification of femoral head coverage in normal control subjects and patients with hip dysplasia. PLoS one, 10(11) (co-first author)

6.       Pflugi, S., Liu, L., Ecker, T., Schumann, S., Cullmann-Bastian, J., Siebenrock, K., & Zheng, G. (2015) A cost-effective surgical navigation solution for periacetabular osteotomy (PAO) surgery. International journal of computer assisted radiology and surgery, 1-10.

7.      Schumann, S., Liu, L., Tannast, M., Bergmann, M., Nolte, L. P., & Zheng, G. (2013). An integrated system for 3D hip joint reconstruction from 2D X-rays: a preliminary validation study. Annals of biomedical engineering, 41(10), 2077-2087.

8.      Chu, C., Chen, C., Liu, L., & Zheng, G. (2015). FACTS: Fully Automatic CT Segmentation of a Hip Joint. Annals of biomedical engineering, 43(5), 1247-1259.

Book Chapters

1.      Ecker, T. M., Liu, L., Zheng, G., Albers, C. E., & Siebenrock, K. A. (2016). Preoperative Planning of Periacetabular Osteotomy (PAO). In Computational Radiology for Orthopaedic Interventions (pp. 151-171). Springer International Publishing.

2.      Pflugi, S., Liu, L., Ecker, T. M., Cullmann, J. L., Siebenrock, K., & Zheng, G. (2016). A cost-effective surgical navigation solution for periacetabular osteotomy (PAO) surgery. In Computational Radiology for Orthopaedic Interventions (pp. 333-348). Springer International Publishing.

Peer Reviewed Conference Papers

1.      Liu, L., Ecker, T., Schumann, S., Siebenrock, K., Nolte, L., & Zheng, G. (2014). Computer assisted planning and navigation of periacetabular osteotomy with range of motion optimization. In Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014 (pp. 643-650). Springer International Publishing.

2.      Zhang, C., Lu, Y., Qiu, X., Song, S.,Liu, L*., & Meng, M. Q. H. (2017, September). Preliminary study on magnetic tracking based navigation for wire-driven flexible robot. In Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on (pp. 2517-2523). IEEE.

3.      Liu, L., Ecker, T. M., Siebenrock, K. A., & Zheng, G. (2016, August). Computer Assisted Planning, Simulation and Navigation of Periacetabular Osteotomy. In International Conference on Medical Imaging and Virtual Reality (pp. 15-26). Springer, Cham.

4.      Liu, L., Ecker, T. M., Schumann, S., Siebenrock, K. A., & Zheng, G. (2016). Computer Assisted Planning of Periacetabular Osteotomy with Biomechanical Optimization: Constant Thickness Cartilage Models vs. Patient-Specific Cartilage Models. In Computational Biomechanics for Medicine (pp. 3-13). Springer, Cham.

5.      Liu, L., Ecker, T., Schumann, S., Siebenrock, K., Chu, C., & Zheng, G. (2015). Optimization of Acetabulum Reorientation in a Periacetabular Osteotomy by Finite Element Simulation: A Preliminary Study. In Computational Biomechanics for Medicine (pp. 129-139). Springer International Publishing.

6.      Liu, L., Ecker, T. M., Schumann, S., Siebenrock, K., & Zheng, G. (2014). Preliminary Study on Finite Element Simulation for Optimizing Acetabulum Reorientation after Periacetabular Osteotomy. In Biomedical Simulation (pp. 155-162). Springer International Publishing.

7.      Chu, C., Bai, J., Liu, L., Wu, X., & Zheng, G. (2015). Fully Automatic Segmentation of Hip CT Images via Random Forest Regression-Based Atlas Selection and Optimal Graph Search-Based Surface Detection. In Computer Vision--ACCV 2014 (pp. 640-654). Springer International Publishing.