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Curriculum Vitae
Name
Xiahai ZHUANG
Honorary Lecturer
Age
31
Nationality
Chinese
University College London
Homepage
http://www.cs.ucl.ac.uk/staff/X.Zhuang/
Email
[email protected]
Personal Profiles
9 I joined centre for medical image computing (CMIC), University College London (UCL) as a
research fellow in Sept 2006 and obtained a PhD in the field of medical image computing
from department of medical physics and bioengineering, under the supervision of Dr. S.
Ourselin, Prof. D. J. Hawkes, Prof. D. Hill, and Prof. R. Razavi (KCL). I helped generate the
grant proposal to EPSRC worth 1.05 million pounds and was the nominated research scientist.
9 My research focuses on cardiac image computing which has been recognized by international
peers:
1) I have been invited to give speeches for two conferences, including Fields-MITACS
Conference on Mathematics of Medical Imaging which provided $2025 CAD for my
expense and statistical shape modelling and its applications workshop in Computer
Assisted Orthopaedic Surgery (CAOS); I will also prepare a talk for European Society for
Magnetic Resonance in Medicine and Biology Congress 2011 which invited Dr. S.
Ourselin to give a lecture on our research.
2) I was the runner-up for the MICCAI Young Scientist Awards (New York University,
2008) for the invention of the LARM method.
3) I was invited to be a committee member of the 6th international conference on Functional
Imaging and Modelling of the Heart (New York University, May 2011)
9 I have been developing a medical image computing platform since 2004. This project has over
200 files and 10MB source code, based on which several applications have been developed,
including automatic registration, segmentation, and functional analyses for cardiology as well
as other cutting-edge technology. The academic version has been used by a number of
research institutes, including St. Thomas Hospital (KCL), Great Ormond St. Hospital, The
Heart Hospital, University of Sheffield, University of Oxford and Imperial College London.
More detail please refers to [http://www.cs.ucl.ac.uk/staff/X.Zhuang/zxhproj.html].
Awards
2008/09
Runner-up for Young Science Awards, Medical Image Computing and
Computer Assisted Intervention Society, New York University, New York (result
see:[http://ubimon.doc.ic.ac.uk/MICCAI09/a1811.html])
Research Grants
a. 2010/03-2013/03
Value: £1,050,200
Grand Challenges: Translating biomedical modelling into the heart of the clinic (second stage)
Engineer and Physical Sciences Research Council, Reference No. EP/H02025X/1
b. 2008/08-2010/02
Value: £110,645
Grand Challenges: Translating biomedical modelling into the heart of the clinic
Engineer and Physical Sciences Research Council, Reference No. EP/F059175/1
c. 2005/01-2008/07
Value: £391,806
Acquisition and analysis of dynamic 3D cardiac volumes with MRI
Engineer and Physical Sciences Research Council, Reference No. GR/T11395/01
Work Experience
10/2011 – 10/2016 Honorary Lecturer ;
09/2006 – 09/2011 Research Fellow
Centre for Medical Image Computing, University College London
• I am working in a British Engineering and Physical Sciences Research Council (EPSRC) grant
(Grand Challenges: Translating biomedical modelling into the heart of the clinic; project code:
EP/H02025X/1, April 2010 – April 2013), worthy of 1.05 million pounds and involving five
different research institutes. I have been involved in the application and research management
of this project. I drafted the protocol of image computing work of which I am responsible now.
• My research includes medical image computing, computer assisted detection/diagnosis of
cardiac diseases, cardiac functional analysis, in particular anatomical modelling and motion
tracking. In image computing, I am particularly interested in three areas, i.e. fast computation,
high accuracy, and high robustness. They can be separately achieved for specific applications.
2004/02 –2004/09
Software Engineer at Software Development of Freeborders, Shenzhen, P.R.
China, main responsibilities include developing commercial software for
product life management within a team of over a hundred members.
2002/11 – 2003/11
Software Engineer at Research & Development Department of UTT,
Shanghai, P.R. China, main responsibilities include developing and
maintaining software used by China Telecom.
Academic Activities
• Committee member of the 6 international conference on Functional Imaging and Modeling
th
of the Heart (New York University, May 2011)
[http://fimh11.rutgers.edu/organisation/program_committee.html]
• Scientific reviewer for
IEEE Transaction on Medical Imaging
Computer Methods and Programs in Biomedicine (Elsevier)
Journal Computing and Informatics
International Conference on Functional Imaging and Modeling of the Heart 2011
International Workshop on Medical Imaging and Augmented Reality 2010
• 2008 – present, member of Medical Image Computing and Computer Assisted Intervention
(MICCAI) society; 2011 – present, Member of British Institute of Radiology
Oral presentations:
• Invited Lecture: 2011-06-21 Xiahai Zhuang: A Registration-Based Atlas Propagation Framework for
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Automatic Whole Heart Segmentation, for Fields-MITACS Conference on Mathematics of Medical
Imaging, hosted by the Fields Institute, University of Toronto (Toronto, Canada)
Invited Lecture: 2011-06-15 Xiahai Zhuang: Extracting prior shape information without a training
stage for image segmentation and registration, invited speech for statistical shape modelling and its
applications workshop in Computer Assisted Orthopaedic Surgery, 11th Annual Meeting (London,
U.K.)
Invited Lecture: 2011-10-08 Sebastien Ourselin (presenter), Xiahai Zhuang: Automatic whole heart
segmentation of cardiac MRI, invited speech for European Society for Magnetic Resonance in Medicine
and Biology Congress 2011, 28th Annual Scientific Meeting (Leipzig, Germany)
2011-05-25 A framework combining multi-sequence MRI for fully automated quantitative analysis of
cardiac global and regional functions (Helen and Martin Kimmel Center, New York University)
2011-03-21 Cardiac segmentation and functional analysis (GE Healthcare, Canada via broadband)
2010-07-13 Spatial information encoded mutual information for nonrigid registration (University of
Lübeck, Germany)
2010-06-25 A registration-based propagation framework for automatic whole heart segmentation of
cardiac MRI (Dementia Research Centre, Institute of Neurology, London)
2010-04-26 Grand challenge: whole heart segmentation (St. Thomas’s Hospital, KCL)
2009-06-19 Automatic whole heart segmentation based on atlas propagation and image registration (St.
Thomas’ Hospital, KCL)
2009-05-13 Automatic whole heart segmentation based on atlas propagation and image registration
(Medical physics department, UCL)
2008-09-24 An atlas-based segmentation using locally affine registration – application to automatic
whole heart segmentation (Johns College, University of Oxford)
2008-09-09 An atlas-based segmentation propagation framework using locally affine registration –
Application to automatic whole heart segmentation. (Helen and Martin Kimmel Center , New York
University)
2008-07-01 Automatic whole heart segmentation based on atlas propagation with a priori anatomical
Information (University of Dundee, Scotland)
2008-02-12 Robust registration between cardiac MRI images and atlas for segmentation propagation
(San Diego, California)
2007-05-17 Atlas-MRI registration for labelling – separate left and right ventricle registration (Guy’s
hospital, London)
Education & Training
2006/09 – 2010/04
PhD in Medical Physics & Bioengineer Department, University College
London (UCL), U.K.
Thesis: Automatic Whole Heart Segmentation Based on Image Registration
2010/04
Managing Changes, MBA electives, London Business School (LBS), U.K.
2004/09 – 2007/04
MSc in Computer Science, Department of Computer Science, Shanghai Jiao
Tong University
Thesis: Medical Image Registration Based on Normal Vector Information
1998/09 – 2002/07
BSc in Computer Science, Department of Computer Science, Tianjin
University
Publications
•
Zhuang, X., Rhode, K., Razavi, R., Hawkes, D. J., Ourselin, S.: A Registration-Based Propagation
Framework for Automatic Whole Heart Segmentation of Cardiac MRI. IEEE Transactions on Medical
Imaging. 29 (9), 1612-1625, 2010.
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Zhuang, X., Arridge, S., Hawkes, D. J., Ourselin, S.: A Nonrigid Registration Framework Using
Spatially Encoded Mutual Information and Free-Form Deformations, IEEE Transactions on Medical
Imaging, DOI: 10.1109/TMI.2011.2150240, 2011.
•
Zhuang, X., Shi, W., Duckette, S., Wang, H., Razavi, R., Hawkes, D., Rueckert, D., Ourselin, S.: A
framework combining multi-sequence MRI for fully automated quantitative analysis of cardiac global
and regional functions. Functional Imaging and Modeling of the Heart, LNCS 6666, pp. 367--374.
Springer, Heidelberg (2011).
•
Zhuang, X., Leung, K., Rhode, K., Razavi, R., Hawkes, D. J., Ourselin, S.: Whole Heart Segmentation
of Cardiac MRI Using Multiple Path Propagation Strategy. Medical Image Computing and Computer
Assisted Intervention, Volume 6361 of Lecture Notes in Computer Science (LNCS), 435-443, 2010.
•
Zhuang, X., Hawkes, D. J., Ourselin, S.: Spatial Information Encoded Mutual Information for Nonrigid
Registration. International Workshop on Biomedical Image Registration, LNCS 6204, 246-257, 2010.
•
Zhuang, X., Yao, C., Ma, Y. L., Hawkes, D. J., Penney, G., Ourselin, S.: Registration-Based
Propagation for Whole Heart Segmentation from Compounded 3D Echocardiography. IEEE
International Symposium on Biomedical Imaging, 1093-1096, 2010.
•
Zhuang, X., Hawkes, D. J., Ourselin, S.: Unifying encoding of spatial information in mutual
information for nonrigid registration. International Conference on Information Processing in Medical
Imaging, LNCS 5636, 491-502, 2009.
•
Zhuang, X., Rhode, K., Razavi, R., Hawkes, D. J., Ourselin, S.: Free-Form Deformations Using
Adaptive Control Point Status for Whole Heart MR Segmentation. Functional Imaging and Modeling of
the Heart, LNCS 5528, 303-311, 2009.
•
Zhuang, X., Rhode, K., Arridge, S., Razavi, R., Hill, D., Hawkes, D. J., Ourselin, S.: An atlas-based
segmentation propagation framework using locally affine registration – Application to automatic whole
heart segmentation. Medical Image Computing and Computer Assisted Intervention, LNCS 5242, 425433, 2008. (runner-up for MICCAI Young Scientist Awards 2008, New York Univ.)
•
Zhuang, X., Ourselin, S., Razavi, R., Hill, D. L. G, Hawkes, D. J.: Automatic Whole Heart
Segmentation Based on Atlas Propagation with a Priori Anatomical Information. Medical Image
Understanding and Analysis (MIUA), 29-33, 2008.
•
Zhuang, X., Hawkes, D. J., Crum, W. R., Boubertakh, R., Uribe, S., Atkinson, D., Batchelor, P.,
Schaeffter, T., Razavi, R., Hill ,D. L. G.: Robust Registration between Cardiac MRI Images and Atlas
for Segmentation Propagation. SPIE Medical Imaging 2008: Image Processing, Vol.6914, 07, 2008.
•
Zhuang, X., Gu, L.: Normal Vector Information Registration and Comparisons with Mutual
Information. IEEE Engineering in Medicine and Biology Society. 1:3827-30, 2006.
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Zhuang, X., Gu, L., Xu, J.: Medical Image Alignment by Normal Vector Information Computational
Intelligence and Security. LNAI 3801, 890-895, 2005.
Co-authored:
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Shi, W., Zhuang, X., Luong, D., Wang, H., Tung, K., Duckett, S., Edwards, P., Razavi, R., Ourselin, S.,
Rueckert, D.: A Comprehensive Cardiac Function Analysis Framework Using Both Untagged And 3D
Tagged MR Images. IEEE Transactions on Medical Imaging. In Revision
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Xi, J.,Lamata, P., Niederer,S., Land, S., Shi, W., Zhuang, X., Ourselin, S., Duckett, S., Shetty, A.,
Rinaldi, A., Rueckert, D., Razavi, R., Smith, N.: The quantification of patient-specific cardiac diastolic
function using an automatic data assimilation and parameter estimation framework, submitted to
MedicalImageAnalysis
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Shi, W., Zhuang, X., Wang, H., Duckett, S., Oregan, D., Edwards, P., Ourselin, S., Rueckert, D.:
Automatic segmentation from cardiac cine MRI with different pathologies using registration and
multiple component EM estimation. Functional Imaging and Modeling of the Heart, LNCS 6666, pp.
163--170. Springer, Heidelberg (2011).
•
Zhang, D., Zhuang, X., Ourselin, S., Rueckert, D.: Motion tracking of left ventricle and coronary
arteries in 4D CTA. SPIE Medical Imaging 2011: Image Processing, Proc. SPIE 7962, 79624A (2011);
doi:10.1117/12.877946.
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Shi, W., Zhuang, X., Wolz, R., Duckett, S., Tung, K-P, Wang, H, Ourselin, S., Edwards, P., Razavi, R.,
Rueckert, D.: A multi-image graph cut approach for cardiac image segmentation and uncertainty
estimation, MICCAI Statistical Atlases and Computational Models of the Heart Workshop (2011)
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Wang, H., Shi, W., Zhuang, X., Duckett, S., Tung, K-P, Edwards, P., Razavi, R., Ourselin, S., and
Rueckert, D.: Automatic cardiac motion tracking using both untagged and 3D tagged MR images,
MICCAI Statistical Atlases and Computational Models of the Heart Workshop (2011)
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Dang, H. Gu, L., Zhuang, X., Luo, Z.: Hierarchical Normal Vector Information based registration for
surgical navigation by using saliency information, International Journal of Computer Assisted
Radiology and Surgery, Volume 5, Supplement 1, pp.S137–S142, 2010.
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Xu, J., Gu, L., Zhuang, X., Peters, T. M.: A Novel Multi-stage 3D Medical Image Segmentation:
Methodology and Validation. Computational Intelligence and Security. Lecture Notes in Artificial
Intelligence (LNAI) 3801, 884-889, 2005.
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