Dr. Marcelo Wust Zibetti

Biography

Marcelo V. Wust Zibetti is an Assistant Professor in the Department of Radiology, primarily focused on enhancing MRI techniques using advanced machine learning algorithms and artificial intelligence (AI). His research includes developing methods to improve MRI acquisition and reduce scan time, thereby minimizing patient discomfort and healthcare costs. Zibetti's team has pioneered novel machine learning approaches for designing MR pulse sequences and developing core codes for controlling MRI acquisition, which result in rapid image acquisitions and improved signal-to-noise ratio (SNR), ultimately enhancing diagnostic accuracy. A significant focus of his work includes MR T1ρ mapping of knee cartilage to detect degeneration and morphological changes in cartilage, with sensitivity to water protons bound to macromolecules. His contributions have led to substantial advancements in accelerated quantitative MRI, introducing new machine-learning algorithms that benefit various applications in the field.

Research Interests

Experience