Marcelo Zibetti

Marcelo V. W. Zibetti, PhD
Research Scientist
Function: 
Collaborator
Affiliation: 
Center for Biomedical Imaging, Radiology, NYU School of Medicine
Fax: 
+1-212-263-7541
Address: 
4th Floor 660 First Avenue New York, NY 10016
Educational Details: 

2000 - BSc in Electronics Engineering, Universidade de Passo Fundo, Passo Fundo, Brazil
2003 - MSc in Electrical Engineering, Universidade Federal de Santa Catarina, Florianópolis, Brazil
2007 - PhD in Electrical Engineering, Universidade Federal de Santa Catarina, Florianópolis, Brazil

 

Research Interest: 

Image reconstruction algorithms
Compressed sensing
Signal and image processing
Rapid MRI
Low-dose CT
Inverse problem-based ultrasound

Selected Publications: 

2019

ZIBETTI, M. V. W.; HELOU NETO, E. S.; REGATTE, RAVINDER R.; HERMAN, G. T. Monotone FISTA with Variable Acceleration for Compressed Sensing Magnetic Resonance Imaging, IEEE Transactions on Computational Imaging, (to appear) 2019. doi: 10.1109/TCI.2018.2882681 (https://cai2r.net/resources/software/cs-mri-mfista-va-matlab-code)

ZIBETTI, M.V.W.; SHARAFI, A.; OTAZO, R.; REGATTE, R.R. Compressed Sensing Acceleration of Biexponential 3D-T1ρ Relaxation Mapping of Knee Cartilage. Magnetic Resonance in Medicine. v.81, p.863 - 880, 2019. doi: 10.1002/mrm.27416

 

2018

PASSARIN, T. A. R.; ZIBETTI, M.V.W.; PIPA, DANIEL R. Sparse Ultrasound Imaging via Manifold Low-Rank Approximation and Non-Convex Greedy Pursuit. SENSORS. v.18, p.4097 - , 2018. doi:10.3390/s18124097

BUENO, P.R; ZIBETTI, M.V.W.; MAIA, J.M. Real-time ultrasound image reconstruction as an inverse problem on a GPU, Journal of Real-Time Image Processing, p. 1-12, 2018. doi: 10.1007/s11554-018-0806-8

ZIBETTI, M.V.W.; BABOLI, R.; CHANG, G.; OTAZO, R.; REGATTE, R.R., Rapid Compositional Mapping of Knee Cartilage with Compressed Sensing MRI. Journal of Magnetic Resonance Imaging, v.47, p 1185-1198, 2018. doi: 10.1002/jmri.26274

ZIBETTI, M.V.W.; SHARAFI, A.; OTAZO, R.; REGATTE, R.R. Accelerating 3D-T1p mapping of cartilage using compressed sensing with different sparse and low rank models. Magnetic Resonance in Medicine. V.80, p.1475 - 1491, 2018. doi: 10.1002/mrm.27138

HELOU, E.S.; HERMAN, G.T.; LIN, C.; ZIBETTI, M.V.W. Superiorization of Preconditioned Conjugated Gradient Algorithms for Tomographic Image Reconstruction, Applied Analysis and Optimization, v. 2,n. 2, p. 271-184 2018.

ZIBETTI, M.V.W.; LIN, C.; HERMAN, G.T. Total Variation Superiorized Conjugate Gradient Method for Image Reconstruction. Inverse Problems., v.34, n.3, p.034001, 2018. doi: 10.1088/1361-6420/aaa49b

 

2017

VALENTE, S. ZIBETTI, M.V.W.; PIPA, D.; MAIA, J.M.; SCHNEIDER, F. An Assessment of Iterative Reconstruction Methods for Sparse Ultrasound Imaging. Sensors (Basel), v.17, p.533 - , 2017. doi:10.3390/s17030533

ZIBETTI, M.V.W.; HELOU NETO, E. S.; PIPA, D. R. Accelerating Over-Relaxed and Monotone Fast Iterative Shrinkage-Thresholding Algorithms with Line Search for Sparse Reconstructions. IEEE TRANSACTIONS ON IMAGE PROCESSING. v.26, p.3569 - 3578, 2017. doi:10.1109/TIP.2017.2699483

HELOU NETO, E. S.; ZIBETTI, M. V. W.; MIQUELES, E. X. “Superiorization of incremental optimization algorithms for statistical tomographic image reconstruction.” Inverse Problems (Print), v.33, p.044010, 2017. doi:10.1088/1361-6420/33/4/044010

 

2016

ZIBETTI, M.V.W., DEPIERRO, A.R. "Improving Compressive Sensing in MRI with Separate Magnitude and Phase Priors". Multidimensional Systems and Signal Processing, 2016. Doi:10.1007/s11045-016-0383-6 

ZIBETTI, M.V.W., PIPA, D.R., DE PIERRO, A.R. "Fast and exact unidimensional L2-L1 optimization as an accelerator for iterative reconstruction algorithms". Digital Signal Processing, v.48, p.178 - 187, 2016. doi:10.1016/j.dsp.2015.09.009

2015
GUARNERI, G., PIPA, D.R., JUNIOR, F. DE ARRUDA, L., ZIBETTI, M.V.W. A Sparse Reconstruction Algorithm for Ultrasonic Images in Nondestructive Testing". Sensors, v.15, p.9324 - 9343, 2015.doi:10.3390/s150409324
ZIBETTI, M. V. W., HELOU NETO, E. S., MIQUELES, E. X., DEPIERRO, A. R. Accelerating the Over-Relaxed Iterative Shrinkage-Thresholding Algorithms with Fast and Exact Line Search for High Resolution Tomographic Image Reconstruction. IEEE International Conference on Image Processing (ICIP), Quebec, 2015.

 

2014
PIPA, D.R., DA SILVA, M.J., MORALES, R.E.M., ZIBETTI, M.V.W. "Typical bubble shape estimation in two-phase flow using inverse problem techniques". Flow Measurement and Instrumentation., v.40, p.64 - 73, 2014.

VENDRUSCOLO, T. P., ZIBETTI, M. V. W., PATYK, R. L., DUTRA, G., MORALES, R. E. M., MARTELLI, C., SILVA, M. J. "Development of NIR optical tomography system for the investigation of two-phase flows". IEEE International Instrumentation and Measurement Technology Conference,  Montevideu, 2014.

 

2013-2006
ZANIN, L. G. S., SCHNEIDER, F. K., ZIBETTI, M. V. W. Regularized reconstruction of ultrasonic imaging and the regularization parameter choice. International Conference on Bio-inspired Systems and Signal Processing, Vilamoura, 2012.

ZIBETTI, M. V. W., BAZÀN, F. S. V., MAYER, J. Estimation of the parameters in regularized simultaneous super-resolution. Pattern Recognition Letters. v.32, p.69 - 78, 2011.

ZIBETTI, M. V. W., DEPIERRO, A. R. A New Distortion Model for Strong Inhomogeneity Problems in Echo-Planar MRI. IEEE Transactions on Medical Imaging, v.28, p.1736 - 1753, 2009.doi:10.1109/tmi.2009.2022622

ZIBETTI, M. V. W., BAZÀN, F. S. V., MAYER, J. "Determining the Regularization Parameters for Super-Resolution Problems". Signal Processing. v.88, p.2890 - 2901, 2008

ZIBETTI, M. V. W., MAYER, J. "A Robust and Computationally Efficient Simultaneous Super-Resolution Scheme for Image Sequences". IEEE Transactions on Circuits and Systems for Video Technology. v.17, p.1288/10 - 1299, 2007.

ZIBETTI, M. V. W., MAYER, J. Super-Resolução Regularizada e Simultânea de Seqüência de Imagens. Journal of Communication and Information Systems, v.21, p.45 - 57, 2006.

Additional Information: 

Also on-staff professor, researcher and student adviser at the Universidade Technológica Federal do Paraná (Brazil) on leave.

Sponsors

Latest Updates

Philanthropic Support

We gratefully acknowledge generous support for radiology research at NYU Langone Health from:
 
• The Big George Foundation
• Raymond and Beverly Sackler
• Bernard and Irene Schwartz

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