Dr Avan Suinesiaputra

BE in Computer Science, MSc in Computational Science, PhD in Medical Imaging

Research Fellow

In: Anatomy and Medical Imaging » Medical Science » Faculty of Medical and Health Sciences

Biography

Avan Suinesiaputra received BE in computer science (Institut Teknologi Bandung, Indonesia, 1998), MSc in computational sciences (University of Amsterdam, the Netherlands, 2002), and PhD in medical imaging (Unversity of Leiden, the Netherlands, 2010). His main research has been focused in the development of automated medical image analysis algorithms. In 2011, he joined the Department of Anatomy with Radiology as a research fellow. His current research theme is in cardiovascular image analysis, including the development of trabeculae segmentation algorithm, cardiac disease modelling, ventricular dyssynchrony, cardiac motion space and computer-aided diagnosis for cardiac MRI.

Research | Current

Model-based LV dyssynchrony assessment

Developing computational algorithms to assess left ventricular dyssynchrony in patients enrolled for cardiac resynchronisation therapy.

Funding agent: Auckland Medical Research Foundation

Right ventricular function in adult congenital heart disease

Developing a novel image processing and a clinical tool to asssess right ventricular function from MRI in patients with congenital heart defects.

Funding agent: National Heart Foundation

Cardiac Atlas Project

To extend statistical atlasing of cardiac models that have been established by the Cardiac Atlas Project (CAP) into patients with congenital heat disease. This is a collaboration project with the University of California, San Diego.

Funding agents: Faculty Research Development Fund, National Institutes of Health USA

More information:

Teaching | Current

MEDSCI 703 - Advanced Biomedical Imaging

Postgraduate supervision

Current PhD students

Charlène Mauger - Cardiac Modelling of the Congenital Heart Diseases

Former PhD students

Xingyu (Mark) Zhang - Statistical Shape Analysis of the Left Ventricular Finite Element Models (2013)

Available research projects (master / phd)

Automatic Segmentation and Motion Tracking of Papillary and Trabecular Structures from Cardiac MRI (MSc in Bioengineering)
Atlas-based 3D Cardiac Echo Modelling from MRI
Quantification of Longitudinal Functional and Shape Changes in Congenital Heart Diseases
Detecting Cardiac Disease Manifestation from Asymptomatic Population based on 4D Cardiac Finite Element Models
Flow-based Ventricular Dyssynchrony Index
Computational Anatomy of Cardiac Motion

I am also open to discuss other postgraduate or graduate research topics related to my field. Please don't hesitate to contact me by email.

Distinctions/Honours

Cum Laude (Master of Science degree)

Areas of expertise

medical image analysis, statistical shape analysis, image processing, cardiac modeling, computational anatomy

Selected publications and creative works (Research Outputs)

Suinesiaputra, A., Sanghvi, M. M., Aung, N., Paiva, J. M., Zemrak, F., Fung, K., ... Kim, Y. J. (2017). Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results. The international journal of cardiovascular imaging10.1007/s10554-017-1225-9
Other University of Auckland co-authors: Alistair Young
Zhang, X., Medrano-Gracia, P., Ambale-Venkatesh, B., Bluemke, D. A., Cowan, B. R., Finn, J. P., ... Young, A. A. (2017). Orthogonal decomposition of left ventricular remodeling in myocardial infarction. GigaScience, 6 (3), 1-15. 10.1093/gigascience/gix005
Other University of Auckland co-authors: Pau Medrano-Gracia, Brett Cowan, Alistair Young
Suinesiaputra, A., McCulloch, A. D., Nash, M. P., Pontre, B., & Young, A. A. (2016). Cardiac image modelling: Breadth and depth in heart disease. Medical image analysis, 33, 38-43. 10.1016/j.media.2016.06.027
URL: http://hdl.handle.net/2292/30234
Other University of Auckland co-authors: Alistair Young, Martyn Nash, Beau Pontre
Suinesiaputra, A., Ablin, P., Alba, X., Alessandrini, M., Allen, J., Bai, W., ... D'hooge J (2016). Statistical shape modeling of the left ventricle: Myocardial infarct classification challenge. IEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2017.2652449
Other University of Auckland co-authors: Pau Medrano-Gracia, Brett Cowan, Alistair Young
Suinesiaputra, A., Bluemke, D. A., Cowan, B. R., Friedrich, M. G., Kramer, C. M., Kwong, R., ... Young, A. A. (2015). Quantification of LV function and mass by cardiovascular magnetic resonance: multi-center variability and consensus contours. Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 1710.1186/s12968-015-0170-9
Other University of Auckland co-authors: Alistair Young, Brett Cowan
Suinesiaputra, A., Medrano-Gracia, P., Cowan, B. R., & Young, A. A. (2015). Big heart data: Advancing health informatics through data sharing in cardiovascular imaging. IEEE Journal of Biomedical and Health Informatics, 19 (4), 1283-1290. 10.1109/JBHI.2014.2370952
Other University of Auckland co-authors: Pau Medrano-Gracia, Alistair Young, Brett Cowan

Identifiers

http://orcid.org/0000-0003-1165-458X

Contact details

Media Contact

Primary location

M&HS BUILDING 505 - Bldg 505
Level B, Room B40
85 PARK RD
GRAFTON
AUCKLAND 1023
New Zealand