Dr. Mihai Iovea Profile

Dr. Mihai Iovea

General manager at Accent Pro 2000 srl

SPIE Involvement:

Author

Area of Expertise:

X and gamma ray 2D and 3D Imaging in Industrial NDT, Security and Food Control , portable and autonomous X-ray imaging system for Security and NDT applications , X-ray Industrial fast scanners based on TDI X-ray detectors , X-ray images correction and analysis algorithm, data acqusition and vizualisation SW development , X-Ray Scanning techniques and reconstruction algorithms in X-ray industrial tomography , Dedicated data acquistion, electronics, software and mechanics parts fast prototyping

Websites:

Personal Website | Company Website

Industrial applications
oBasic and applied research in 2D and 3D X and Gamma ray Industrial Computerized Tomography and Radioscopy.
o Research, design and prototypes manufacturing of various types of computerized X and gamma rays Industrial Tomography and Radioscopy Systems, with applications in NDT and Security domains;
o R&D for bugagge screening (radioscopy, tomography, backscattering) devices;
o R&D of specialized algorithms and software packages for data acquisition, 2D & 3D tomograms reconstruction, data analysis and visualization in Tomography and Radioscopy;
o Research & Development of dual/multi energy technique for measuring Zeff (Atomic effective number) and Density values in X and gamma ray Tomography and Radioscopy, with application in Security, Cores and minerals analysis, Industrial NDT, etc.
Medical application
o The Catheter 3D position reconstruction based on one X-ray view technique, for application in stem cell heart injections.
o Fast prototyping and R & D equipment design and development
o Software development using LabView tmlanguage
R & D companies management and consultancy

Experience
o Head of NDT and Computerized Technologies Laboratory at National R&D Institute for Electrical Engineering (ICPE) for more 16 years;
o Scientific Director at ICPE for 2 years,
o ACCENT PRO 2000 Ltd as General Manager for the last 23 years .
o European Community FP7 Projects Scientific Expert Evaluator
(ftp://ftp.cordis.europa.eu/pub/fp7/docs/sme.zip)
o Project coordinator for more than 35 R&D projects financed by Romanian Ministry of Research, European Union or private companies.

More details at http://accent.ro/sites/default/files/mihai_iovea_curriculum_vitae.pdf

SPIE Journal Paper | 30 June 2022

Significance of the spectral correction of photon counting detector response in material classification from spectral x-ray CT

Doniyor Jumanazarov, Jakeoung Koo, Henning Poulsen, Ulrik Olsen, Mihai Iovea

JMI, Vol. 9, Issue 03, 034504, (June 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.3.034504

KEYWORDS: Sensors, Photon counting, Reconstruction algorithms, Signal attenuation, X-ray computed tomography, Detection and tracking algorithms, X-rays, Aluminum, X-ray detectors, Silicon

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Proceedings Article | 18 April 2021 Presentation + Paper

The significance of the spectral correction of photon counting detector response in material classification from spectral x-ray CT

Doniyor Jumanazarov, Ja-Keoung Koo, Henning Poulsen, Ulrik Olsen, Mihai Iovea

Proceedings Volume 11771, 117710J (2021) https://doi.org/10.1117/12.2589290

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Photon counting imaging detectors (PCD) has paved the way for the emergence of Spectral X-ray Computed Tomography (SCT), which simultaneously measures a material’s linear attenuation coefficient (LAC) at multiple energies defined by the energy thresholds. In previous work SCT data was analysed with the SIMCAD method for material classifications. The method measures system-independent material properties such as electron density, ρ_e and effective atomic number, Z_eff to identify materials in security applications. The method employs a spectral correction algorithm that reduce the primary spectral distortions from the raw data that arise from the detector response: charge sharing and weighting potential cross-talk, fluorescence radiation, scattering radiation, pulse pile up and incomplete charge collection. In this work, using real experimental data we analyze the influence of the spectral correction on material classification performance in security applications. We use a vectorial total variation (L∞-VTV) as a convex regularizer for image reconstruction of the spectral sinogram. This reconstruction algorithm employs a L∞ norm to penalize the violation of the inter energy bin dependency, resulting in strong coupling among energy bins. Due to the strong inter-bin correlation, L∞-VTV leads to noticeably better performance compared to bin-by-bin reconstructions including SIRT and total variation (TV) reconstruction algorithms. The image quality was evaluated with the correlation coefficient that is computed relative to ground-truth images. A positive weighting parameter defines the strength of the L∞-VTV regularization term and thus controls the trade-off between a good match to spectral sinogram data and a smooth reconstruction in both the spatial and spectral dimension. The classification accuracy both for raw and corrected data is analyzed over a set of weighting parameters. For material classification, we used 20 different materials for calibrating the SIMCAD method and 15 additional materials in the range of 6 ≤ Zeff ≤ 15 for evaluating the classification performance. We show that the correction algorithm accurately reconstructs the measured attenuation curve, and thus gives higher detection rates. We show that using the spectral correction leads to an accuracy increase of 1.6 and 3.8 times in estimating ρ_eand Z_eff, respectively

Proceedings Article | 23 May 2011 Paper

Portable and autonomous X-ray equipment for in-situ threat materials identification by effective atomic number high-accuracy measurement

M. Iovea, M. Neagu, G. Mateiasi, O. Duliu

Proceedings Volume 8017, 801713 (2011) https://doi.org/10.1117/12.883666

KEYWORDS: X-rays, X-ray detectors, X-ray imaging, Explosives, Sensors, Radiography, X-ray sources, Digital x-ray imaging, Attenuators, Digital imaging

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Proceedings Article | 16 March 2009 Paper

Preliminary experiments of a single x-ray view catheter 3D localization algorithm for targeted stem cell injections

M. Iovea, J. Creed, E. Perin, M. Neagu, G. Mateiasi

Proceedings Volume 7261, 72611Y (2009) https://doi.org/10.1117/12.811036

KEYWORDS: X-rays, 3D acquisition, Heart, Stem cells, X-ray imaging, 3D image processing, 3D vision, Detection and tracking algorithms, Tissues, Navigation systems

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