Laplacian pyramid based data fusion for high resolution dynamic MRI

Liad Pollack-Zuckerman, Lior Weizman, Yonina C. Eldar, Dafna Ben Bashat, Moran Arzi, Michal Irani

Research output: Contribution to conferencePaperpeer-review


Dynamic contrast-enhanced (DCE) MRI is useful for tumor diagnosis and treatment. In DCE, there is a tradeoff between the spatial and temporal resolutions. Improving the spatial resolution while preserving the temporal dynamics is essential for better diagnosis/treatment. We present a method (LAPFUD) for enhancing the spatial frequency without compromising on temporal resolution. LAPFUD combines information from a static high-resolution image acquired at baseline, with each low-resolution frame. By making local decisions it preserves details from both inputs without changing the temporal behavior. Experiments show that LAPFUD provides superior performance (spatially and temporally) compared to the commonly used keyhole method.
Original languageEnglish
StatePublished - Jun 2018
EventISMRM France - Paris Expo Porte de Versailles. Paris, France, Paris, France
Duration: 16 Jun 201821 Jun 2018
Conference number: ISMRM


ConferenceISMRM France


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