Lianli Liu (刘连理）

Department of Electrical Engineering and Computer Science University of Michigan 519 West William St. Ann Arbor, MI 48103 Phone: +1 734 7095085 E-mail: llliu [AT] umich [DOT] edu

News

About me

I am a fifth year PhD student in the Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. I am coadvised by Prof. Jeffrey A. Fessler and Prof. James M Balter from the Radiation Oncology department.

My research has been focus on optimizing MRI for radiotherapy, which involves developing both image reconstruction and image analysis techniques.

In general, I am interested in the interface between engineering and healthcare. Here is my CV.

Research

My research projects have included

• Accelerated high b-value diffusion weighted MRI for higher order diffusion analysis

  • We proposed a phase-constrained low-rank tensor model that exploits both local and global low-rank structures

• 1st place in young investigator competition of 2017 AAPM GLC chapter meeting

• Synthetic Computational Tomography (CT) generation from MRI

  • Our approach is based on modeling shape and intensity features of different tissues/structures in MRI

• 2nd place in young investigator competition of the 4th MR in RT Symposium and 2016 UM Engineering Graduate Symposium

• Joint tissue classification and intensity non-uniformity correction of multi-contrast MRI

  • 2nd place in young investigator competition of the 2nd MR in RT Symposium

Publications

Journal

• Lianli Liu ,Shruti Jolly, Yue Cao, Karen Vineberg, Jeffrey A Fessler, James M Balter.
  Female pelvic Synthetic CT generation based on joint intensity and shape analysis.
  Phys. Med. Biol., 62(8):2935-2949, 2017. (PubMed 28306550)
• Jeremy Bredfeldt, Lianli Liu , Mary Feng, Yue Cao, James M Balter.
  Synthetic CT for MRI-based liver stereotactic body radiotherapy treatment planning.
  Phys. Med. Biol., 62(8):2922-2934, 2017. (PubMed 28306547)
• Lianli Liu , Yue Cao, Jeffrey A Fessler, Shruti Jolly, James M Balter.
  A female pelvic bone shape model for air/bone separation in support of synthetic CT generation for radiation therapy.
  Phys. Med. Biol., 61(1):169-82, 2017. (PubMed 26624989)

Conference

• Lianli Liu, Adam Johansson, James M Balter, Jeffrey A Fessler, Yue Cao.
  Accelerated high b-value diffusion-weighted MRI for higher-order diffusion analysis using a phase-constrained low-rank tensor model.
  submitted to annual meeting of ISMRM, 2018
Lianli Liu, Adam Johansson, James M Balter, Yue Cao,Jeffrey A Fessler.
Accelerated high b-value diffusion-weighted MR imaging via phase-constrained low-rank tensor model.
submitted to to IEEE international symposium on biomedical imaging (ISBI), 2018
• Lianli Liu, Shruti Jolly, Yue Cao, Karen Vineberg, Jeffrey A Fessler, James M Balter.
  Female pelvic synthetic CT generation based on joint shape and intensity analysis.
  Med. Phys., 43(6): 3343, 2016
• Jeremy Bredfeldt, Lianli Liu, Mary Feng, Yue Cao, James M Balter.
  Abdominal synthetic CT generation in support of liver SBRT dose calculation.
  Med. Phys., 43(6): 3733, 2016
• Lianli Liu, Shruti Jolly, Yue Cao, Karen Vineberg, Jeffrey A Fessler, James M Balter.
  Investigation of a female pelvic synthetic CT generation method without ultra-short TE imaging.
  4th MR in RT Symposium, 2016.
Lianli Liu, James Balter, Yue Cao, Shruti Jolly, Jeffrey A Fessler.
Automated bone segmentation to support synthetic CT in the pelvis.
3rd MR in RT Symposium, 2015.
• Lianli Liu, Yue Cao, Jeffrey A Fessler, James M Balter.
  Investigation of a pelvic bone shape model in support of bone classification for synthetic CT generation.
  Med. Phys., 42(6): 3541, 2015
• Lianli Liu, Shu-Hui Hsu, James M. Balter, Yue Cao.
  A joint classification and bias field estimation algorithm for synthetic CT generation.
  2nd MR in RT Symposium, 2014.
• Xiyu Yang, Lianli Liu, Xueming Qian, Tao Mei, Jialie Shen, Qi Tian.
  Mobile visual search via hierarchical sparse coding.
  Multimedia and Expo (ICME), IEEE International Conference on, 2014.