2026-09-21T14:19:50Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/88027 2023-07-11 col_2142_5131 col_2142_5163 com_2142_5130 com_2142_5162 com_2142_234

Sutton, Bradley P. Wetter Taylor, Nathaniel Craig 2015-09-29T20:38:20Z 2015-09-29T20:38:20Z 2015-08 2015-07-14 Neuroimaging studies require significant computational power in order to perform non-linear registrations, 3D volumetric segmentations, and statistical analysis across a large group of subjects. In addition to the need for this large computational infrastructure, the large number of open-source programs being used to process data has increased in recent years making it standard for several packages, each one frequently and independently updated, to be used in a single analysis. Due to these needs, the focus of computational infrastructure in neuroimaging is transitioning from user-owned hardware, to virtualized, shared, and scalable “cloud”-based hardware. We have implemented such a “private cloud” for neuroimaging and deployed it to users of the Beckman Institute Bioimaging Center. This thesis aims to demonstrate the scientific advantage for neuroimaging from such a system, to serve as a guide for users and administrators, and to provide implementation details to other groups who may wish to build a similar cloud of their own. In the final chapter, we present a sample application—a novel, open source method for the detection and quantification of multiple sclerosis lesions on MRI images. Like many neuroimaging applications, this method takes a great deal of time to process all subjects, highlighting the practicality of the flexible, shared infrastructure of the private cloud for bioimaging research. Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2015-09-29 without embargo terms The student, Nathaniel Wetter Taylor, accepted the attached license on 2015-07-13 at 12:18. The student, Nathaniel Wetter Taylor, submitted this Thesis for approval on 2015-07-13 at 12:27. This Thesis was approved for publication on 2015-07-14 at 12:44. DSpace SAF Submission Ingestion Package generated from Vireo submission #8425 on 2015-09-29 at 13:22:40 Made available in DSpace on 2015-09-29T20:38:20Z (GMT). No. of bitstreams: 2 WETTERTAYLOR-THESIS-2015.pdf: 1458576 bytes, checksum: 761206de474d9379cb717c4ee4364f09 (MD5) LICENSE.txt: 4220 bytes, checksum: 7288c32703ae41f69059df2f16b03da8 (MD5) Previous issue date: 2015-07-14 application/pdf http://hdl.handle.net/2142/88027 en Copyright 2015 Nathaniel C Wetter Taylor Cloud computing Magnetic resonance imaging Image processing Multiple sclerosis Neuroimaging Computation cloud to enable high throughput neuroimaging text text 2015-8 M.S. Bioengineering Bioengineering University of Illinois at Urbana-Champaign Thesis