RT Journal Article
T1 Super- resolution of 3D MRI corrupted by heavy noise with the median filter transform
A1 Thurnhofer-Hemsi, Karl
A1 López-Rubio, Ezequiel
A1 Roé-Vellvé, Núria
A1 Deka, Lipika
K1 Sistemas de imágenes tridimensionales
AB The acquisition of 3D MRIs is adversely affected by many degrading factors including low spatial resolution and noise. Image enhancement techniques are commonplace, but there are few proposals that address the increase of the spatial resolution and noise removal at the same time. An algorithm to address this vital need is proposed in this presented work. The proposal tiles the 3D image space into parallelepipeds, so that a median filter is applied in each parallelepiped. The results obtained from several such tilings are then combined by a subsequent median computation. The convergence properties of the proposed method are formally proved. Experimental results with both synthetic and real images demonstrate our approach outperforms its competitors for images with high noise levels. Moreover, it is demonstrated that our algorithm does not generate any hallucinations.
YR 2020
FD 2020-11-13
LK https://hdl.handle.net/10630/20349
UL https://hdl.handle.net/10630/20349
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 5 mar 2026