Basic Information

 

Hong-Mei Zhang , PhD

 

Professor of Biomedical Information, Editorial member of Measurement Science and Technology, UK

Editor-in-Chief of special issue “Advances in Medical Imaging and computation”and “Advances in Ultrasound Imaging” in MST

Key Laboratory of Biomedical Information Engineering, Ministry of Education

Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University

28 Xian Ning West Avenue, 710049

P. R. China

Tel: (029)82665901; Fax: (029)82668668-801

Mobile: 15353563571

Email: claramei@mail.xjtu.edu.cn

 

EDUCATION:

2000.9-2004.6: Ph.D. Biomedical Engineering, Xi’an Jiaotong University, P.R. China

        Thesis: Study on Medical Image Segmentation Based on Variational Method

1997.9-2000.6: M.S. Material Science, Xi’an Jiaotong University, P.R. China

        Thesis:  Computer Aided design for Metal Matrix Composites

1992.9-1996.6: B.S. Material Science, Nanjing University of Science and Technology, P. R. China

 

WORK EXPERIENCES:

2014.9-2015.9:  Visiting Scholar. University of Illinois at Urbana-Champaign, USA

1996.8-1997.8: Xi’an University of Technology  

2004.10-          : Xi’an Jiaotong University

2021.1-            : Editorial member of Measurement Science and Technology, UK

 

Research Interests

►Fractional derivative model-based ultrasound viscoelasticity and fluidity imaging

►Ultrafast Doppler and flow Imaging

►Machine learning in ultrasound imaging and image processing

​​​​​​​​​►PINN for wave propagation and full wave inverse

Teaching Activity

Medical image processing,  2 credit hours/semester ( for undergraduate student)

Medical image information Analysis,  2 credit hours/semester ( for postgraduate student)

Funding

(1) Project Title: “Deep reinforcement learning of multi-source data set and fractional viscoelastic and fluidity ultrasound imaging for early breast screening”

PI: Hong-Mei Zhang

Funding support: National Natural Science Fundation of China under Grant (No. 62171366)

Research Time:  1/01/2022-12/31/2025

Total cost: RMB:560,000

 

(2) Project Title: “Ultrasound viscoelasticity and fluidity biomarkers for vulnerability carotid atherosis by fractional derivative model”

PI: Hong-Mei Zhang

Funding support: National Natural Science Fundation of China under Grant (No. 61871316)

Research Time:  1/01/2019-12/31/2022

Total cost: RMB:630,000

 

(3) Project Title: “Super-resolution ultrasound strain estimation and elasticity imaging of carotid vessel -Theroetical methods and experiments”

PI: Hong-Mei Zhang

Funding support: National Natural Science Fundation of China under Grant (No.60801057)

Research Time:  1/01/2009-12/31/2011

Total cost: RMB:200,000

 

(4) Project Title: “Carotid strain estimation and elasticity imaging”

PI: Hong-Mei Zhang

Funding support:Resident Science Fundation of Xi an Jiaotong University under Grant (No.xjj2008027)

Research Time:  10/01/2008-9/31/2010

Total cost: RMB:10,000

 

(5) Project Title: “Super strain estimation and elasticity imaging for evaluating the vulnerability risk of Carotid plaque”

PI: Hong-Mei Zhang

Funding support: International cooperation Science Fundation of Xi an Jiaotong University under Grant (No. 2012jdhz50)

Research Time:  10/01/2010-9/31/2012.

Total cost: RMB:40,000

 

(6) Project Title: “Fractional derivative modeling and viscoelastic imaging for breast cancer”

PI: Hong-Mei Zhang

Funding support: Major and Cultivation Project of Xi’an JiaoTong University(Grant No: zdyf2017011).

Research Time:  10/01/2017-9/31/2019.

Total cost: RMB:150,000

 

(7) Project Title: “Intelligent Chatting App”

PI: Hong-Mei Zhang

Funding support: Haolai Tech Co. (20210228).

Research Time:  2021.1.22-2024.3.1

Total cost: RMB:30,000

 

(8) Project Title: “Knowledge Graph for lung disease”

PI: Hong-Mei Zhang

Funding support: First affiliated hospital of Xi’an Jiaotong University (20210227).

Research Time:  2021.1.18-2024.1.18

Total cost: RMB:30,000

 

(9) Project Title: “Super-resolution Transcranial ultrafast ultrasound localization microscopy of brain vasculature and multiple dynamic quantities imaging system”

PI: Mingxi Wan

Key member: Hongmei Zhang

Funding support: Major Instrument Development Project (81827801)

Research Time:  2019.1 -2023.12

Total cost: RMB: 8,696,800

 

(10) Project Title: “Non-invasive high-resolution ultrasound functional and Molecular quantification imaging of vulnerable plaque ”

PI: Mingxi Wan

Key member: Hongmei Zhang

Funding support: National Program on Key Research Project(973program) (2010CB732603)

Research Time:  2010.1-2011.5.31

Total cost: RMB: 3,960,000

Publications

 Publication Lists:

  1. Hongmei Zhang, Ayache Bouakaz*, Editorial for the special issue: recent advances in ultrasound imaging, Measurement Science and Technology, 2024, 35 (2024) 120201 (3pp)
  2. Hongmei Zhang*, Songshi Liang, Luke A. Matkovic, Shadab Momin, Kai Wang4 Xiaofeng Yang, Michael F. Insana*. Deep Q-learning to globally optimize a k-D parameter search for medical imaging, Quantitative Imaging in Medicine and Surgery. 2023, 13(8): 4879.
  3. Jianjun Yu, Hao Guo, Xiaoyang Qiao, Liyuan Jiang, Yiran Chen, Jiacheng Liu, Chaoyang Zhang, Xiao Su, Hongmei Zhang*, Mingxi Wan*. Transcranial ultrasound estimation of viscoelasticity and fluidity in brain tumors aided by transcranial shear waves. Ultrasonics, (2024)107262.
  4. Yan Song, Wenbing Li, Gang Tian, Litao Ruan*, Hongmei Zhang*. Viscoelastic Characteristics in Mouse Model of Hepatic Steatosis With Inflammation by Kelvin–Voigt Fractional Derivative Modeling, Ultrasound in Medicine & Biology, 2023, 49(8): 1811-1816.
  5. Zhou Y, Song Y, Liu ZH, Li WB, Guo Y, Matkovic LA, Yang XF, Ma RN, Wan MX, Ruan LT*, Zhang HM*. The viscoelastic characteristics of in-vitro carotid plaque by Kelvin-Voigt fractional derivative modeling[J]. Journal of Biomechanics, 2022, 141 (2022) 111210.
  6. Jianjun Yu, Hao Guo, Meng Han, Fan Wang, Ayache Bouakaz, Hongmei Zhang*, Mingxi Wan*. Transcranial ultrasound estimation of viscoelasticity and fluidity of the soft matter, Physical Review Applied. 2022, 17: 024001.
  7. Yan Song, Ying Dang, Jichang Wang, Hui Cai, Jun Feng, Hongmei Zhang*, Litao Ruan*. Carotid intraplaque neovascularization predicts Ischemic Stroke Recurrence in Patients with Carotid Atherosclerosis. Gerontology. 2021, 67(2):1-8.
  8. Hongmei Zhang*, Tongqing Lu, Qingzhe Zhang, Yan Zhou, Hongrui Zhu, Joseph Harms, Xiaofeng Yang, Mingxi Wan, Michael F. Insana. Solutions to ramp-hold dynamic oscillation indentation tests for assessing the viscoelasticity of hydrogel by Kelvin-Voigt fractional derivative modeling, Mechanics of Materials, 2020, 148: 103431.
  9. Hongmei Zhang, Ying Guo, Yan Zhou, Hongrui Zhu, Manman Song, Kai Wang, Meili Gao, Litao Ruan, Mingxi Wan*, Michael F. Insana*. Fluidity and elasticity form a concise set of viscoelastic biomarkers for breast cancer diagnosis based on Kelvin–Voigt fractional derivative modeling, Biomechanics and Modeling in Mechanobiology, 2020, 19:2163–2177.
  10. Hongmei Zhang, Lei Xu, Zhihui Liu, Shukuan Lu, Jichao Yin, Sibo Tian, Xiaofeng Yang, Mingxi Wan*. Statistical and Texture Descriptors of Symptomatic Plantar Fasciitis Using Ultrasound Shear Wave Elastography, IEEE Access, 2020: 1-1.10.1109/ACCESS.2020.3005829.
  11. Hongmei Zhang, Manman Song, Litao Ruan, Furong Zhang, Aifeng Zhang, Andrew M. Siedlecki, Mingxi Wan*. Von Mises Strain as a Risk Marker for Vulnerability of Carotid Plaque: Preliminary Clinical Evaluation of Cerebral Infarction, Ultrasound Med Biol 2019, 45:1221-1233
  12. Hongmei Zhang, Qingzhe Zhang, Litao Ruan, Mingxi Wan, Michael F. Insana*. Modeling Ramp-hold Indentation Measurements based on Kelvin-Voigt Fractional Derivative Model, Measurement Science and Technology, 2018, 29(3): 1-16.
  13. Hongmei Zhang, Yue Wang, Mostafa Fatemi , Michael F. Insana*. Assessing composition and structure of soft biphasic media from Kelvin-Voigt fractional derivative model parameters, Measurement Science and Technology, 2017, 28(3): 035703.
  14. Hongmei Zhang, Yue Wang, Michael F. Insana*. Ramp-hold relaxation solutions for the KVFD model applied to soft viscoelastic media, Measurement Science and Technology, 2016, 27 :1-11.
  15. Hongmei Zhang, Manman Song, Ming Yang, Litao Ruan, Mingxi Wan*. Fast Von Mises Strain Imaging on Ultrasound Carotid Vessel Wall by Flow Driven Diffusion Method, Australasian Physical & Engineering Sciences in Medicine, 2018, 41: 669–686.
  16. Hongmei Zhang, Yue Wang, LiTao Ruan, Junbo Duan, MingXi Wan*. Non-invasive Von Mises Strain imaging for Longitudinal Artery Wall, Journal of Medical Imaging and Health Informatics, 2016,6(4):906-915.
  17. Hongmei Zhang, HuiE Zhang, JunFeng Wu, ShuangSheng Gao. Detection of thin structure defects in radiographic images using an improved Gabor filter, Insight - Non-Destructive Testing and Condition Monitoring, 2017,59(10):531-536.
  18. Hongmei Zhang, Mingxi Wan, Zhengzhong Bian. Complementary tensor-driven image coherence diffusion for oriented structure enhancement, EURASIP Journal on Advances in Signal Processing, 2011,1:70.
  19. HongMei Zhang, MingXi Wan, JinJin Wan,XuLei Qin. Super-Resolution Reconstruction of Deformable Tissue from Temporal Sequence of Ultrasound Images, 2010 International conference on artificial Intelligence and Computational Intelligence. Vol. 1, pp.337-342.
  20. Hongmei Zhang，Mingxi Wan, Bo Shen, Xiaodong Wang, Mingzhu Lu. Volume estimation in a sequence of freehand ultrasound images. Measurement Science and Technology. 2006, 17 (11): 2927-2937.
  21. Zhang Hongmei，Wan Mingxi. Improved Mumford-Shah Functional for Coupled Edge-Preserving Regularization and Image Segmentation. EURASIP Journal on Applied Signal Processing. 2006 Art. No. 37129 : 1-9 
  22. Zhang Hongmei，Bian Zhengzhong, Guo Youmin, Ye Min, Miao Yalin. Region information-based ROI extraction by multi-initial fast marching algorithm.  EURASIP Journal on Applied Signal Processing，2004,11:1739-1749.
  23. Zhang Hongmei, Bian Zhengzhong, Yuan Zejian, Ye Min, Ji Feng. A novel multiresolution fuzzy segmentation method on MR image. Journal of Computer Science and Technology, 2003, 18(5): 659-666.
  24. Zhang Hong-mei，Bian Zheng-zhong ,Guo You-min, Ye Min. Efficient approach to extraction of region of interest, Journal of Software, 2005, 16(1): 77-88.
  25. Zhang Hongmei, Bian Zhengzhong, Jiang Dazong, Yuan Zejian, Ye Min. Level set method for pulmonary vessels extraction. IEEE International Conference on Image Processing, Barcelona, Spain, 14-17 September 2003, 2:1105-1108.
  26. Hongmei Zhang, Zhengzhong Bian, Youmin Guo, Baowei Fei, Min Ye. An efficient multiscale approach to level set evolution. The 25th Silver Anniversary International conference of the IEEE Engineering in Medicine and Biology Society, Cancun, Mexico, 17-21 Sept. 2003, 694-697.
  27. Zhang Hong-mei, Yuan Ze-jian, Cai Zhong-min, Bian Zheng-zhong. Segmentation of MRI Using Hierarchical Markov Random Field. Journal of Software, 2002, 13(9): 1779-1786.
  28. Zhang Hong-mei, Bian Zheng-zhong, Guo You-min, Yuan Ze-jian. An Efficient Approach to Pulmonary Vessels Extraction Based on Curve Evolution. Chinese Journal of Biomedical Engineering (English edition), 2004, 13(1): 39-46.
  29. Hongmei Zhang, Yalin Miao, Youmin Guo, Jiang Yang, Zhengzhong Bian, Vascular enhancement by anisotropic diffusion-reaction PDE. Microellectronics & Computer, 2004,21(3):25-27 (In Chinese).
  30. Hongmei Zhang, Donglang Chai, Zhengzhong Bian, a fast subdivision method for grid of composite material. Journal of Applied Mechanics, 2002,19(4):147-149. (In Chinese)

International Conference

  1. Hongmei Zhang*, Aasma Jamali, Tianhao Liu, Mingxi Wan, Characterization of mechanical properties of carotid artery plaque using acoustic guided wave, IEEE International Ultrasound Symposium, 2024.(Oral Presentation)
  2. Yang Li, Wenbin Li, Ayache.bouakaz, Mingxi Wan and Hongmei Zhang*, Imaging of the Viscoelasticity and Fluidity of the Carotid Plaque by Fractional-Derivative KelvinVoigt Modeling，IEEE International Ultrasound Symposium, 2022.(Oral Presentation)
  3. Dan Xiao , Kaixuan Hu, Hongmei Zhang* , Efficient Unet with compound loss function for breast ultrasound lesions segmentation, International Ultrasound Symposium, 2022.( Oral Presentation)
  4. Yan Zhou, Kai Wang, Kehao Zhang, Mingxi Wan, Mostafa Fatemi, Michael F. Insana, Hongmei Zhang*, Deep Reinforcement Learning of Kelvin-Voigt Fractional Derivative parameters for viscoelastic imaging，IEEE International Ultrasound Symposium, 2022.(Poster)
  5. Yu JJ, Chen YR, Qiao XY, Guo, H, An SZ, Zhang HM, Wan MX *. Unidirectional Shear Waves for Transcranial Ultrasound Assessment of Viscoelasticity and Fluidity of Brain Tumor in a Skull Model. IEEE International Ultrasonics Symposium, Montreal, Canada, Poster  2023/9/3-2023/9/8.
  6. Yu JJ, Guo H, Qiao XY, Jiang LY, Zhang HM, Wan MX*. The Viscoelasticity and Fluidity of the Brain Tumors for Ultrasound Assessment Using the Unidirectional transcranial Shear Waves at the Variable Low Frequencies [C]. IEEE International Ultrasonics Symposium, Venice, Italy, Poster  2022/10/10-2022/10/14.
  7. Yu JJ, Guo H, Jiang YN, Zhang HM, Wan MX*. Estimation of Viscoelasticity and Fluidity of the Brain Phantom by Variable Low Frequency Shear Wave Speeds Based on Transcranial Ultrasound [C]. IEEE International Ultrasonics Symposium, Xi'an, China, Poster  2021/09/11-2021/09/16.
  8. Yu JJ, Wang F, Han M, Guo H, Zhang HM, and Wan MX*. Low Frequency Vibrator Induced Transcranial Shear Wave Imaging [C]. IEEE International Ultrasonics Symposium, Las Vegas, USA, Poster  2020/09/07-2020/09/11.

Chinese National Invention patent

  1. Zhong Hongmei, Yan Zhou, Wenbin Li, Kehao Zhang, Jiong Wang,Mingxi Wan, Global optimization method and system using Bi-loss value network Deep reinforcement learning of KVFD model parameters，ZL 202110368257.2
  2. Zhang Hongmei, Ruan Litao, Zhang qingzhe, Guo Youmin, Wan Mingxi, Shan Baowen. A novel and high accuracy noninvasive elastic imaging of vascular wall. ZL 2016012710027191.
  3. Zhang Hongmei, Wang Kai, Liu Zhihui, Zhang Kehao, Zhou Yan, Yang Fan, Wang Jiong, Wan Mingxi. Machine learning optimization method of fractional order KVFD parameters for Viscoelastic characterization of soft matter, CN 202010598527.4 (publicizing)

Book  Chapter (In Chinese)

Editor-in-chief:

  1. Hongmei Zhang, Hongbing Lu, Advances and deep learning in Medical image analysis method in big data era, Tsing hua university press, 2024
  2. Hongbing Lu, Hongmei Zhang, Principle and method for medical image analysis in big data era, Tsing hua university press, 2024

Participant:

  1. Hongmei Zhang, Chapter  7  Elasticity reconstruction of Vascular (Mingxi Wan et al, Computational Ultrasonic imaging), 2019-01, 978-7-03-059103-6 Chinese Science Press.
  2. Hongmei Zhang, Chapter  8  Fractional derivative model based viscoelastic measurement of biological tissue (Mingxi Wan et al, Computational Ultrasonic imaging ) 2010-05,978-7-03-027204-1 Chinese Science Press
  3. Hongmei Zhang, Chapter 10 Ultrasound medical image processing (Mingxi Wan et al, Biomedical Ultrasonics),  2010-05,978-7-03-027204-1, Chinese Science Press.

 

Software Copyright in Chinese

  1. Hongmei Zhang,  Litao Ruan, Zhengzhong Bian, Youmin Guo, Mingxi Wan, Variational and d PDE base evolution methods  for image analysis.  Corpyright 2014SR080747
  2. Hongmei Zhang, Mingxi Wan, Litao Ruan, Volume measurement from free hand Ultrasound images Copyright 2014SR080401
  3. Hongmei Zhang, Qingzhe Zhang, Tongqing Lu, Mingxi Wan, Dynamic analysis system based on KVFD modeling of viscoelasiticity and fluidity of soft matter. Copyright 2023SR0542049
  4. Hongmei Zhang, Qingzhe Zhang, Tongqing Lu, Mingxi Wan, Dynamic analysis on viscoelasiticity and fluidity of soft matter based on KVFD modeling. Copyright 2023SR0542049
  5. Hongmei Zhang, Nimra Saleem, Mingxi Wan, Quisi-static analysis on the cell viscoelasticity and fluidity based on KVFD modeling for arbitrary probe. Copyright 2023SR0619113