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Lucian Mihai Itu

Researcher at Siemens

Publications -  114
Citations -  1720

Lucian Mihai Itu is an academic researcher from Siemens. The author has contributed to research in topics: Fractional flow reserve & Deep learning. The author has an hindex of 19, co-authored 97 publications receiving 1383 citations. Previous affiliations of Lucian Mihai Itu include Transilvania University of Brașov & Princeton University.

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Journal ArticleDOI

Comparison of Fractional Flow Reserve Based on Computational Fluid Dynamics Modeling Using Coronary Angiographic Vessel Morphology Versus Invasively Measured Fractional Flow Reserve

TL;DR: Estimation of coronary FFR with PC-based computational fluid dynamics modeling on the basis of lesion morphology as determined by invasive angiography is possible with high diagnostic accuracy compared to invasive measurements.
Journal ArticleDOI

Non-Invasive Hemodynamic Assessment of Aortic Coarctation: Validation with In Vivo Measurements

TL;DR: The preliminary results are promising, with a mean absolute error of less than 2 mmHg in all the patients, and the proposed CFD-based algorithm is fully automatic, requiring no iterative tuning procedures for matching the computed results to observed patient data, thus making it feasible for use in a clinical setting.
Proceedings ArticleDOI

A patient-specific reduced-order model for coronary circulation

TL;DR: A patient-specific model for coronary circulation is introduced, by combining anatomical, hemodynamic and functional information from medical images and other clinical observations, to provide a model for virtual assessment of the flow and underlying functional measures in healthy and stenosed coronary arteries.
Proceedings ArticleDOI

A framework for personalization of coronary flow computations during rest and hyperemia

TL;DR: A CFD based method for performing patient-specific coronary hemodynamic computations under two conditions: at rest and during drug-induced hyperemia, demonstrating that the estimation of the hyperemic resistances is crucial to obtain accurate values for pressure and flow rates.
Journal ArticleDOI

Coronary CT angiography derived fractional flow reserve: Methodology and evaluation of a point of care algorithm.

TL;DR: On-site calculation of CTA-FFR can identify hemodynamically significant CAD with an overall per-vessel accuracy of 75% in comparison to invasive FFR, and is negatively affected by misalignment artifacts.