© 2016 IEEE. In this paper, a new single-image super-resolution method is presented to increase the spatial resolution of metabolite maps computed from magnetic resonance spectroscopic imaging. The proposed method is based on a non-local patch-based strategy that uses a high resolution T1-weighted image to regularise the super-resolution process. The method is implemented in a multi-scale fashion. The accuracy of the method is validated on both phantom and in vivo images. Both qualitative and quantitative validation suggest that the method has potential for clinically relevant neuroimaging applications.
Saurabh JainDiana M. SimaFaezeh Sanaei NezhadGilbert HangelWolfgang BognerS. R. WilliamsSabine Van HuffelFrederik MaesDirk Smeets
Pierrick CoupéJosé V. ManjónMaxime ChamberlandMaxime DescoteauxBassem Hiba
Chengtao CaiBing FanHaiyang MengL ZhangW TamT AykutM KarimiC BurgmairA FinkenzellerC BachhuberE SteinbachL StelmachWa James TamD MeeganA VincentWoontack WooA OrtegaN MayerA GeigerM RoserR UrtasunZ JinH LuoL LuoW ZouX LilE SteinbachChung-Hao ChenYi YaoD PageB AbidiA KoschanM AbidiY BastanlarA JainT NguyenJianchao YangJ WrightT HuangYi MaShenlong WangLei ZhangYan LiangQuan PanJian ZhangDebin ZhaoWen GaoJ.-B HuangA SinghN AhujaW ShiC ChenF JiangD ZhaoW ShenC DongC LoyK HeX TangC LedigW ShiB LimS SonH KimS NahK LeeZ ZhangA GaneshX LiangY MaD AigerD Cohen-OrN MitraO ChumJ MatasR HartleyA ZissermanQ ChenP MontesinosQ SunP HengD XiaP DanielssonD LoweY HuangJ LiX GaoL HeW LuD ScharsteinC ZitnickS KangM UyttendaeleS WinderR SzeliskiA GeigerP LenzR Urtasun
Cédric MeuréePierre MaurelJean‐Christophe FerréChristian Barillot
Qiang WangXiaoou TangHeung‐Yeung Shum