Lin4Neuro: a customized Linux distribution ready for neuroimaging analysis

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 ar...

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Published in:BMC medical imaging Vol. 11; no. 1; p. 3
Main Authors: Nemoto, Kiyotaka, Dan, Ippeita, Rorden, Christopher, Ohnishi, Takashi, Tsuzuki, Daisuke, Okamoto, Masako, Yamashita, Fumio, Asada, Takashi
Format: Journal Article
Language:English
Published: London BioMed Central 25.01.2011
BioMed Central Ltd
Springer Nature B.V
BMC
Subjects:
Algorithms
Brain
Brain - pathology
Data collection
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Imaging
Information Storage and Retrieval - methods
Linux
Linux (Operating system)
Magnetic Resonance Imaging
Medical imaging
Medicine
Medicine & Public Health
Mental health
Neuroimaging
Neuroradiography - methods
Operating systems
Pattern Recognition, Automated - methods
Programming Languages
R&D
Radiology
Research & development
Software
Software Design
Software packages
Technological change
Technology application
Unix
User-Computer Interface
United States
Japan
Hard Disk Drive
Hard Disk
Inhomogeneity Correction
Window User
Neuroimaging Analysis
ISSN:1471-2342, 1471-2342
Online Access:Get full text
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Summary: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.
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ISSN:1471-2342
1471-2342
DOI:10.1186/1471-2342-11-3