%0 Journal Article %1 21266047 %A Nemoto, Kiyotaka %A Dan, Ippeita %A Rorden, Christopher %A Ohnishi, Takashi %A Tsuzuki, Daisuke %A Okamoto, Masako %A Yamashita, Fumio %A Asada, Takashi %D 2011 %J BMC Medical Imaging %K linux mri %N 1 %P 3 %R 10.1186/1471-2342-11-3 %T Lin4Neuro: a customized Linux distribution ready for neuroimaging analysis %U http://www.biomedcentral.com/1471-2342/11/3 %V 11 %X BACKGROUND:A variety of neuroimaging software packages have been released from various laboratories worldwide, and many researchers use these packages in combination. Though most of these software packages are freely available, some people find them difficult to install and configure because they are mostly based on UNIX-like operating systems. We developed a live USB-bootable Linux package named "Lin4Neuro." This system includes popular neuroimaging analysis tools. The user interface is customized so that even Windows users can use it intuitively.RESULTS:The boot time of this system was only around 40 seconds. We performed a benchmark test of inhomogeneity correction on 10 subjects of three-dimensional T1-weighted MRI scans. The processing speed of USB-booted Lin4Neuro was as fast as that of the package installed on the hard disk drive. We also installed Lin4Neuro on a virtualization software package that emulates the Linux environment on a Windows-based operation system. Although the processing speed was slower than that under other conditions, it remained comparable.CONCLUSIONS:With Lin4Neuro in one's hand, one can access neuroimaging software packages easily, and immediately focus on analyzing data. Lin4Neuro can be a good primer for beginners of neuroimaging analysis or students who are interested in neuroimaging analysis. It also provides a practical means of sharing analysis environments across sites.

@article{21266047, abstract = {BACKGROUND:A variety of neuroimaging software packages have been released from various laboratories worldwide, and many researchers use these packages in combination. Though most of these software packages are freely available, some people find them difficult to install and configure because they are mostly based on UNIX-like operating systems. We developed a live USB-bootable Linux package named "Lin4Neuro." This system includes popular neuroimaging analysis tools. The user interface is customized so that even Windows users can use it intuitively.RESULTS:The boot time of this system was only around 40 seconds. We performed a benchmark test of inhomogeneity correction on 10 subjects of three-dimensional T1-weighted MRI scans. The processing speed of USB-booted Lin4Neuro was as fast as that of the package installed on the hard disk drive. We also installed Lin4Neuro on a virtualization software package that emulates the Linux environment on a Windows-based operation system. Although the processing speed was slower than that under other conditions, it remained comparable.CONCLUSIONS:With Lin4Neuro in one's hand, one can access neuroimaging software packages easily, and immediately focus on analyzing data. Lin4Neuro can be a good primer for beginners of neuroimaging analysis or students who are interested in neuroimaging analysis. It also provides a practical means of sharing analysis environments across sites.}, added-at = {2012-05-17T22:18:49.000+0200}, author = {Nemoto, Kiyotaka and Dan, Ippeita and Rorden, Christopher and Ohnishi, Takashi and Tsuzuki, Daisuke and Okamoto, Masako and Yamashita, Fumio and Asada, Takashi}, biburl = {https://www.bibsonomy.org/bibtex/2278e985770f8d46921f874db881153d0/lordspaeti}, description = {BMC Medical Imaging | Full text | Lin4Neuro: a customized Linux distribution ready for neuroimaging analysis}, doi = {10.1186/1471-2342-11-3}, interhash = {ec75904cf26d4c693a4753864d2fe6b9}, intrahash = {278e985770f8d46921f874db881153d0}, issn = {1471-2342}, journal = {BMC Medical Imaging}, keywords = {linux mri}, number = 1, pages = 3, pubmedid = {21266047}, timestamp = {2012-05-17T22:18:49.000+0200}, title = {Lin4Neuro: a customized Linux distribution ready for neuroimaging analysis}, url = {http://www.biomedcentral.com/1471-2342/11/3}, volume = 11, year = 2011 }