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Nikolaos V. Tsekos

Researcher at University of Houston

Publications -  128
Citations -  2434

Nikolaos V. Tsekos is an academic researcher from University of Houston. The author has contributed to research in topics: Real-time MRI & Computer science. The author has an hindex of 24, co-authored 122 publications receiving 2222 citations. Previous affiliations of Nikolaos V. Tsekos include University of Houston System & Washington University in St. Louis.

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Journal ArticleDOI

Perfusion imaging by a flow-sensitive alternating inversion recovery (FAIR) technique: application to functional brain imaging.

TL;DR: A newly developed flow‐sensitive alternating inversion recovery (FAIR) technique was used to obtain perfusion‐weighted images and consequently to measure cerebral blood flow (CBF), suggesting that the oxygen consumption increase couples with the CBF change completely.
Journal ArticleDOI

Magnetic resonance-compatible robotic and mechatronics systems for image-guided interventions and rehabilitation: a review study.

TL;DR: An overview of the motivation, advantages, technical challenges, and existing prototypes for MR-compatible robotic/mechatronic devices is given.
Patent

MRI-guided interventional mammary procedures

TL;DR: In this paper, the authors used contrast enhanced magnetic resonance imaging (MRI) and MR-guided subcutaneous core biopsy as a robust approach for the diagnosis and treatment of breast cancer.
Journal ArticleDOI

Design of an MRI-compatible robotic stereotactic device for minimally invasive interventions in the breast.

TL;DR: The objective of this work was to develop a robotic device to perform biopsy and therapeutic interventions in the breast with real-time magnetic resonance imaging (MRI) guidance, and compatibility of the device within the MR environment was successfully tested on a 4 Tesla MR human scanner.

Concepts of myocardial perfusion imaging in magnetic resonance imaging.

TL;DR: Preliminary results suggest that quantitative assessment of myocardial perfusion is feasible, but additional studies should provide further confidence for this novel MR approach.